Code Together

Hugging Face and Intel – Driving Towards Practical, Faster, Democratized and Ethical AI solutions

Code Together — Fri, 31 Mar 2023 02:22:42 -0700

Transformer models are the powerful neural networks that have become the standard for delivering advanced performance behind these innovations. But there is a challenge: Training these deep learning models at scale and doing inference on them requires a large amount of computing power. This can make the process time-consuming, complex, and costly.

Today we will talk about all kinds of issues around accessible, production level AI solutions. We also talk about ethical questions around AI usage and why open, democratized AI solutions are important.

Learn more:
Hugging Face
https://huggingface.co

Hugging Face Hub
https://huggingface.co/models

Fast Inference on Large Language Models: BLOOMZ on Habana Gaudi2 Accelerator
https://huggingface.co/blog/habana-gaudi-2-bloom

Accelerating Stable Diffusion Inference on Intel CPUs
https://huggingface.co/blog/stable-diffusion-inference-intel

Transformer Performance with Intel & Hugging Face Webinar
https://www.intel.com/content/www/us/en/developer/videos/optimize-end-to-end-transformer-model-performance.html#gs.pomt5k

Intel Explainable AI Tools
https://github.com/IntelAI/intel-xai-tools

Intel Distribution of OpenVINO Toolkit
https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Intel AI Analytics Toolkit (AI Kit)
https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html

Guests:
Julien Simon – Chief Evangelist @ Hugging Face
Ke Ding – Principal Engineer @ Intel

oneAPI in Practice – How Digital Cortex is leveraging oneAPI to provide scalable, on-demand access to xPU processors

Code Together — Tue, 07 Mar 2023 03:47:41 -0700

As the world moves towards more specialized hardware like GPUs, Google TPUs, Habana Gaudi (HPU), FPGAs, etc, enabling developers to run their code on the most efficient hardware can be challenging. Intel oneAPI and xPUs are at the vanguard of this shift and Digital Cortex is leading the way forward with its comprehensive set of products built on these emerging technologies. By providing unprecedented access to compute across varying architectures and platforms, Digital Cortex is helping developers unlock new levels of performance while simplifying development processes.

We talk to Digital Cortex CEO Charlie Wardell to learn how Digital Cortex is building on top of the oneAPI vision to bring a marketplace of compute kernels to their platform that can run anywhere. Charlie also shares his thoughts on entrepreneurship and what made him make the leap from working in a company to founding a company.

Learn more:
Digital Cortex
digital-cortex.io

oneAPI
oneapi.io

Intel oneAPI toolkits
intel.com/content/www/us/en/developer/tools/oneapi/overview.html#gs.rahkwl

Guest:
Charlie Wardell – CEO of Digital Cortex

Ray Tracing, Path Tracing & Path Guiding – Finding the Light (efficiently) with Chaos and OpenPGL

Code Together — Thu, 23 Feb 2023 03:08:16 -0700

Over the last couple of decades, the world of computer graphics has been growing at an amazing rate. From animated movies to video games, consumers have reaped the benefits of these technological advances. One of the latest algorithmic advances in rendering is path guiding. Learn about path guiding and how you can take advantage of this cool technology using Chaos V-Ray and the Intel Path Guiding Library (OpenPGL)

Learn more:
Chaos V-Ray:
chaos.com

Intel Open Path Guiding Library (OpenPGL) Github
github.com/OpenPathGuidingLibrary/openpgl
Paper: A 5D Tree to Reduce the Variance of Monte Carlo Ray Tracing
Author: Eric Lafortune
researchgate.net/publication/2574746_A_5D_Tree_to_Reduce_the_Variance_of_Monte_Carlo_Ray_Tracing

Paper: Importance driven path tracing using the photon map.
Author: Henrik Jensen
graphics.stanford.edu/~henrik/papers/ewr6.html

Paper: Robust Fitting of Parallax-Aware Mixtures for Path Guiding
Author: Lukas Ruppert
dl.acm.org/doi/10.1145/3386569.3392421

Paper: Practical Path Guiding for Efficient Light-Transport Simulation (a.k.a. Practical Path Guiding)
Author: Thomas Müller
dl.acm.org/doi/10.1111/cgf.13227

Paper: Path Guiding in Production
Author: Jikra Vorba
cgg.mff.cuni.cz/~jirka/path-guiding-in-production/2019/index.htm

Quantum Computing, How Intel is Driving Towards a Probabilistic Future

Code Together — Tue, 07 Feb 2023 03:13:24 -0700

Quantum computing technology is becoming more viable, which means programming models are going to have to be created to harness this potentially world changing technology. To many developers, understanding the possibilities of quantum computing and moving from a binary world to a world of quantum states is challenging.

Tony talks to Anne Matsuura, a physicist and Director of Quantum Applications and Architecture in Intel Labs about what quantum computing can do for society and how Intel is working on building hardware and software solutions to make that future a reality.

We also talk about what a quantum computer actually looks like today (hint: it’s not a tiny flat chip).

Learn more:
Intel Quantum Computing Homepage
intel.com/content/www/us/en/research/quantum-computing.html

oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

Guests:
Anne Matsuura – Director of Quantum Applications and Architecture in Intel Labs

Impact from AI in 5 days – How High Schoolers Beat Professional Data Scientists

Code Together — Fri, 06 Jan 2023 03:45:31 -0700

AI is the new hot thing in business. Everyone wants to talk about how they are harnessing AI to make their business better. However this is not a trivial process, and maybe companies are left wondering what went wrong. Aible is a company devoted to providing business impact in less than 30 days.

We talk to Arijit Sengupta, the CEO of Aible, about how Aible is able to make an impact quickly. He talks about how Aible can transform an AI solution into a business solution, using high schoolers and Aible versus data scientists to prove the point. We also discuss bias in AI, the future of AI, and how AI has the power to transform how we work and live.

Learn more:
Aible
aible.com

Aible/Intel blog
intel.com/content/www/us/en/developer/articles/technical/30-days-to-ai-value-intel-aible-solution.html#gs.krmfw7

Intel/Aible Performance Benchmark and Case Studies Report
enaible.aible.com/hubfs/Intel_Aible_Benchmark.pdf

Case Study Videos: How to guarantee impact from AI in 30 days
aible.wistia.com/medias/2dddd6pr8i

AI is a Waste of Money
aible.com/ai-book

Intel AI Analytics Toolkit
intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html

Intel Distribution of OpenVINO™ Toolkit
intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

Guests:
Arijit Sengupta – Aible CEO

Chest-rAi, Enabling Better Patient Experiences through AI and Intel Acceleration

Code Together — Tue, 27 Dec 2022 19:37:24 -0700

As AI becomes more prevelent in society, one of the biggest questions is how can we take AI and harness it for good? One area that is extremely active is healthcare. AI is being explored across a variety of disciplines in the medical field.

One way to use AI in healthcare is to make doctors more efficient, and that is precisely what Chest-rAi aims to do. Learn a little bit about how AI can be harnessed to make it easier for doctors to be more efficient and help more patients through use of Chest-rAi.

Learn more:
LTTS Chest-rAi and Intel AI Analytics and OpenVINO Toolkits blog
intel.com/content/www/us/en/developer/articles/technical/ltts-chest-rai-and-intel-tools-redefine-radiology.html

Chest-rAi
ltts.com/solutions/healthcare/AI-radiography/chest-rAi

Intel AI Analytics Toolkit
intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html

Intel Distribution of OpenVINO™ Toolkit
intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

C++, SYCL, Kokkos – How C++ and Collaborative, Accelerator Programming Models Enable the Aurora Supercomputer

Code Together — Fri, 23 Dec 2022 16:20:32 -0700

The accelerator landscape has been rapidly changing over the past decade, and as super computers come online, they face the challenge of supporting the latest and greatest accelerators. Through use of C++. Kokkos and SYCL, the engineers working on the Aurora project at Argonne National Laboratory are demonstrating how to enable workloads that are performant now, while continuing to keep an eye on the future.

Guests:
Nevin Liber – Computer Scientist @ Argonne Leadership Computing Facility
alcf.anl.gov/about/people/nevin-liber

James Reinders – Technical Evangelist @ Intel
linkedin.com/in/jamesreinders

Learn more:
See what next-generation scientific problems are being slated to run on Aurora
intel.com/content/www/us/en/customer-spotlight/stories/argonne-aurora-customer-story.html

Argonne Leadership Computing Facility and Aurora
alcf.anl.gov
alcf.anl.gov/aurora

SYCL Tech
sycl.tech

oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

Kokkos
github.com/kokkos/kokkos

Intel oneAPI 2023 Toolkits and Codeplay Software – New Plug-In Support for NVIDIA and AMD GPUs

Code Together — Fri, 16 Dec 2022 13:03:42 -0700

Today, Codeplay Software announces expanding oneAPI for Nvidia and AMD GPUs, making multiarchitecture, multivendor programming much easier. This includes new plugins: oneAPI for Nvidia GPUs and oneAPI for AMD GPUs (beta).

Software developers are increasingly looking to move away from proprietary interfaces and use open standards that are defined by the industry. This can allow them to target a broad set of platforms and architectures. oneAPI aims to bring this to reality by supporting the widest set of processors and accelerators. As a cross-industry initiative, oneAPI offers an open, standards-based, multiarchitecture programming model and specification.

Having official plugins for Nvidia and AMD platforms is a major milestone for the oneAPI open community. The oneAPI Nvidia and AMD GPU plugins seamlessly work with the Intel oneAPI DPC++/C++ Compiler 2023 and many popular libraries, bringing open, standards-based programming to a range of processors from multiple hardware vendors. The oneAPI for Nvidia GPUs and oneAPI for AMD GPUs packages are available to download for free on the Codeplay website.

Learn more:
Intel oneAPI toolkits
intel.com/content/www/us/en/developer/tools/oneapi/toolkits.html

Codeplay
developer.codeplay.com/home/

oneAPI for NVIDIA GPUs
developer.codeplay.com/products/oneapi/nvidia/home/

oneAPI for AMD GPUs (beta)
developer.codeplay.com/products/oneapi/amd/home/

James’ blog on the Intel oneAPI 2023 Toolkit release
intel.com/content/www/us/en/developer/articles/news/oneapi-2023.html

Codeplay blog on the oneAPI for NVIDIA and AMD plugins
codeplay.com/portal/blogs/2022/12/16/bringing-nvidia-and-amd-support-to-oneapi.html

Guests:
Gordon Brown – Codeplay oneAPI Product Manager
James Reinders – Intel Evangelist

How Copilot, ChatGPT, Stable Diffusion and Generative AI Will Change How We Develop, Work and Live

Code Together — Thu, 08 Dec 2022 15:55:22 -0700

ChatGPT, DALL-E, Stable Diffusion and other generative AI have rapidly captivated the public. They provide new, easy ways, to create new content based on AI models that have been trained on large, public data sets. How does this technology work? What does it mean for society? In this podcast we discuss the technology behind generative AI, some of the potential legal and societal issues, and what the pros and cons of generative AI are.

For more information see:

Attention is All You Need
arxiv.org/abs/1706.03762

Copilot
github.com/features/copilot

ChatGPT
openai.com/blog/chatgpt

Stable Diffusion
stability.ai/blog/stable-diffusion-public-release

Midjourney
midjourney.com

openVINO
intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Intel Extension for PyTorch
intel.com/content/www/us/en/developer/tools/oneapi/extension-for-pytorch.html

oneAPI
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

Tim Davis @ Texas A&M Github Copilot Tweet
twitter.com/DocSparse/status/1581461734665367554

ChatGPT Tech Radar Article
techradar.com/news/i-asked-chatgpt-to-write-about-itself-in-my-style-so-i-didnt-have-to

Guests
Ezequiel Lanza – Open Source, AI Evangelist @ Intel
Benjamin Consolvo – AI Community Manager @ Intel

How Two University Students are Building an AI Chat Bot Using TensorFlow and oneAPI

Code Together — Thu, 01 Dec 2022 13:17:38 -0700

Parallel programming models are often used on large scale systems, with huge datasets and a large amount of obvious parallelism. In this podcast, Tony talks to two university students that are building a chat bot using consumer hardware and standard frameworks like TensorFlow and oneAPI. They use TensorFlow to enable their AI model and SYCL to optimize various parts of their data pipeline.

They also talk about the Intel Student Ambassador program, Intel Discord, and how Josh and Harvey became part of the Intel social community.

For more information see:
Gavin AI Chat Bot
github.com/Gavin-Development

TensorFlow
tensorflow.org

SYCL
sycl.tech

oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

Building LLVM to compile SYCL for NVIDIA GPUs
intel.github.io/llvm-docs/GetStartedGuide.html#build-dpc-toolchain-with-support-for-nvidia-cuda

Intel Student Ambassador Program
intel.com/content/www/us/en/developer/community/ambassadors.html

Intel Discord
discord.com/invite/intel

OpenAI – GPT-2, GPT-3 resources
openai.com

Google LaMDA
blog.google/technology/ai/lamda

Kaggle
kaggle.com

AI Predicts Heart Disease Risk Using Single X-Ray
press.rsna.org/timssnet/media/pressreleases/14_pr_target.cfm?ID=2388

Guests
Joshua Shiells – Student @ University of Kent
Harvey Johnson – Student @ University of Nottingham

Driving AI in a Hybrid Cloud Environment

Code Together — Wed, 16 Nov 2022 03:11:00 -0700

One of the greatest challenges to using AI/ML in industry is reducing your time to solution so that your data scientist and engineers have a chance to iterate. Setting up a machine learning pipeline from scratch can be a complexity nightmare for MLOps engineers.

Steve Huels and Raghu Moorthy join Tony to discuss the value of RedHat OpenShift Data Science, how the platform is built, and how it can significantly reduce the initial deployment challenge. They also discuss some of the software deployed as part of the RedHat OpenShift Data Science platform and how these pieces drive cost effective, accelerated AI solutions from Cloud to Edge.

Intel-Redhat Partner page:
intel.com/content/www/us/en/developer/partner/red-hat.html

Open Data Hub:
opendatahub.io

RedHat Open Shift Data Science Sandbox:
developers.redhat.com/products/red-hat-openshift-data-science/getting-started

Guests:
Steve Huels – Senior Director for Red Hat’s Cloud Services
redhat.com/en/authors/steven-huels

Raghu Moorthy – Global Director Intel Sales and Marketing Group:
linkedin.com/in/raghunath-k-moorthy

Aurora and AI for Science

Code Together — Fri, 28 Oct 2022 00:11:47 -0700

The Argonne Leadership Computing Facility (ALCF) and Intel are working together on Aurora, an Exascale supercomputer. As the ALCF and Intel prepare for Aurora, we consider how we will use this Exascale system to support AI for Science. Learn about how Aurora will expand the boundaries of existing science and how we can use Aurora to drive scientific research forward.

See what next-generation scientific problems are being slated to run on Aurora:
intel.com/content/www/us/en/customer-spotlight/stories/argonne-aurora-customer-story.html

Argonne Leadership Computing Facility and Aurora
alcf.anl.gov
alcf.anl.gov/aurora

oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html

DAOS
intel.com/content/www/us/en/high-performance-computing/daos.html

Intel oneAPI Data Analytics Library (oneDAL)
intel.com/content/www/us/en/develop/documentation/oneapi-programming-guide/top/api-based-programming/intel-oneapi-data-analytics-library-onedal.html

Intel oneAPI Collective Communications Library
intel.com/content/www/us/en/developer/tools/oneapi/oneccl.html

Horovod
github.com/horovod/horovod

Aurora and the Convergence of HPC, AI and Big Data Analytics

Code Together — Tue, 18 Oct 2022 00:01:10 -0700

The Argonne Leadership Computing Facility (ALCF) and Intel are working together on Aurora, an Exascale supercomputer. As the ALCF and Intel prepare for Aurora, learn about the convergence of High Performance Computing (HPC), Artificial Intelligence (AI) and big data analytics. Learn how the ALCF is preparing its software, and its users for Aurora, including some challenges that can be overcome utilizing some of the latest Intel technologies. We also talk about the science Aurora will enable, and why you never know what questions will be answered or arise when using a supercomputer.

See what next-generation scientific problems are being slated to run on Aurora
intel.com/content/www/us/en/customer-spotlight/stories/argonne-aurora-customer-story.html

See also:
ALCF – Aurora
alcf.anl.gov/aurora
DOE’s INCITE Program
doeleadershipcomputing.org
Intel oneAPI
oneapi.intel.com
Intel oneAPI Toolkits
intel.com/content/www/us/en/developer/tools/oneapi/toolkits.html
Intel oneAPI HPC Toolkit
intel.com/content/www/us/en/developer/tools/oneapi/hpc-toolkit.html
Exascale Computing Project website
exascaleproject.org/
Aurora Early Science Program
alcf.anl.gov/science/early-science-program
Argonne National Lab’s Aurora Exascale System
intel.com/content/www/us/en/customer-spotlight/stories/argonne-aurora-customer-story.html
Intel and Argonne Developers Carve Path Toward
intel.com/content/www/us/en/newsroom/news/developers-carve-path-toward-exascale.html
Introducing the Aurora Supercomputer – Powered by Intel
intel.com/content/www/us/en/high-performance-computing/supercomputing/aurora-video.html

Enabling AI solutions from the Desktop to the Cloud

Code Together — Fri, 14 Oct 2022 00:01:51 -0700

As AI continues to play an ever-increasing role in applications and decision-making, the challenges facing developers of these AI workloads continue to expand higher and higher. Through this talk, gain a deeper understanding of the current landscape and challenges facing AI developers and data scientists today, and Intel and Red Hat’s perspectives on the most pressing issues in this area. Learn how Intel and Red Hat’s partnership is addressing these challenges from local devices to the cloud by enabling Intel’s most popular AI developer optimizations on Red Hat OpenShift Data Science, and the potential opportunities for developers using this solution.

Intel-Redhat Partner page:
intel.com/content/www/us/en/developer/partner/red-hat.html

Intel AI Analytics Tookit Operator:
catalog.redhat.com/software/operators/detail/60d2745bfea5217cbb0f319a

Boost OpenShift Data Science with the Intel®AI Analytics Tookit:
developers.redhat.com/articles/2022/09/21/boost-openshift-data-science-intel-ai-analytics-toolkit

Intel AI/ML Overview
intel.com/content/www/us/en/developer/topic-technology/artificial-intelligence/overview.html

Guests
Audrey Reznik. – Senior Principal Engineer at Red Hat
linkedin.com/in/audrey-reznik-570a9542

Rachel Oberman – AI Software Solutions Engineer at Intel
linkedin.com/in/racheloberman

Preparing Applications for Aurora in the Exascale Era

Code Together — Thu, 06 Oct 2022 22:56:58 -0700

Intel, HPE, and Argonne National Lab are collaborating closely to deliver Aurora. Built on Intel’s architecture, Aurora will be Argonne’s first Exascale, high performance computing system. Its performance is expected to exceed exaflops, which is 2 billion billion calculations per second. It’s enormous scale and performance levels will accelerate research in science and engineering fields at a scale that is not possible today.

ACLF – Aurora:
alcf.anl.gov/aurora
DOE Leadership Project:
doeleadershipcomputing.org
Intel oneAPI:
oneapi.intel.com
Intel oneAPI Toolkits:
intel.com/content/www/us/en/developer/tools/oneapi/toolkits.html
Intel oneAPI HPC Toolkit:
intel.com/content/www/us/en/developer/tools/oneapi/hpc-toolkit.html
Exascale Computing Project website:
exascaleproject.org/
Aurora Early Science Program:
alcf.anl.gov/science/early-science-program
ALCF Aurora:
alcf.anl.gov/aurora
Preparing for science in the Exascale article:
alcf.anl.gov/aurora
Argonne National Lab’s Aurora Exascale System:
intel.com/content/www/us/en/customer-spotlight/stories/argonne-aurora-customer-story.html
Intel and Argonne Developers Carve Path Toward?Exascale:
intel.com/content/www/us/en/newsroom/news/developers-carve-path-toward-exascale.html
Introducing the Aurora Supercomputer – Powered by Intel:
intel.com/content/www/us/en/high-performance-computing/supercomputing/aurora-video.html

Guests:
Scott Parker, Team Lead, Performance Engineering at ALCF
Scott Parker – sparker@alcf.anl.gov

Michael D’mello, Program Manager, Intel
Michael D’mello – michael.dmello@intel.com

Synthetic DNA & oneAPI :: Revolutionizing the Digital Storage

Code Together — Tue, 16 Aug 2022 12:42:19 -0700

The exponential growth of data generation and the need for it’s storage is driving the next phase of innovation in data storage. Scientists are now able to store information as molecules of DNA, which both scalable and accurate. With the right set of open-source tools and optimizations, synthetic DNA is paving the way for the next generation of advancements

Industry Guest: Raja Appuswamy, Assistant Professor, EURECOM – Data Science Department
https://www.linkedin.com/in/raja-appuswamy-b418425/
https://twitter.com/raja_appuswamy

Intel Guest: Sujata Tibrewala, Sr. Manager Open Source Alliance
https://www.linkedin.com/in/sujata-tibrewala-a531198/
https://twitter.com/sujatatibre

Resources
https://oligoarchive.eu/
https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html
https://www.oneapi.io/
https://www.intel.com/content/www/ca/en/developer/overview.html
https://www.intel.com/content/www/us/en/developer/articles/success-story/dna-storage-heterogeneous-architectures-oneapi.html
https://www.intel.com/content/www/us/en/developer/videos/oneoligo-use-oneapi-to-accelerate-dna-data-storage.html
https://devmesh.intel.com/projects/oneoligo-860c37
https://devmesh.intel.com/users/raja-appuswamy
https://riscv.org/

SYCL – Empowering Developers in Academia and Enterprise

Code Together — Tue, 07 Jun 2022 00:01:23 -0700

Ever since its introduction in 2014, SYCL has grown in popularity and adoption. It is a royalty-free, cross-platform abstraction layer that enables code for heterogeneous processors, written in a “single-source” style using C++ standards.

The flexibility to deploy across multiple platforms, reuse code helps enable advanced hardware features that can be used by developers. This allows develops the flexibility that they are looking for.

Today’s conversation with our guests touches upon SYCL’s evolution and its adoption both in academia and in enterprise applications. We will discuss how academia and enterprise are learning how to program with SYCL in addition to what the future holds for this open standard.

For more information, see:
ENCCS – EuroCC National Competence Centre Sweden
EuroCC National Competence Center Sweden – GitHub
SYCL standard
SYCL Academy GitHub repository
The Khronos Group
Intel DevCloud
Intel oneAPI AI Analytics Toolkit
Jupyter* Notebook
Data Parallel C++ book
Comparing programming models: CUDA and SYCL
Learn about SYCL
oneAPI specification
Intel oneAPI toolkits

Roberto Di Remigio Eikås, Research Software Engineer at ENCCS
Email: roberto.di.remigio@it.uu.se

Noah Clemons, Staff Technical Consulting Engineer, Developer Tools Customer Engineering at Intel
Email: noah.clemons@intel.com

Solving for Productivity in Data Science with Modin and AI Optimizations

Code Together — Mon, 11 Apr 2022 01:58:21 -0700

The rapid advancement in machine learning and data science fields have aided data scientists in arriving at meaningful insights. However, it’s not been an easy task to optimize machine learning infrastructures to allow data scientists to focus on their core expertise. Today, we will discuss how certain tools and hardware optimizations are not only saving time, but also enabling data scientists to be more productive.

Learn more:
Ponder.io
Intel oneAPI AI Analytics Toolkit
Intel Distribution for Python
Intel Distribution of Modin
Intel Extension for Scikit-learn
Intel Optimization for PyTorch
Intel Optimization for TensorFlow

Guests:
Devin Petersohn, Cofounder and CTO of Ponder
Areg Melik-Adamyan, Principal Engineer and Engineering Manager at Intel

AI in Gaming: Empowering Game Developers

Code Together — Mon, 28 Feb 2022 03:36:14 -0700

In the gaming world, artificial intelligence (AI) is proving to be a game-changer. It has played a pivotal role in enhancing game-player’s experiences. Amongst other capabilities, Artificial intelligence is used to generate responsive, adaptive, or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. With the right tools and access to advanced technologies, developers can create more immersive game experiences and take advantage of machine learning algorithms. Listen in to learn how AI is influencing the gaming industry and the game-developer ecosystem.

Guests:
Adam Goodrich – Adam is the founder and general manager of Procedural Worlds based in Sydney, Australia.

Peter Cross – Senior Software Engineer at Intel.

Learn more:
Procedural Worlds
Canopy by Procedural Worlds
Intel Game Dev AI Toolkit
Intel Distribution of OpenVINO Toolkit
Intel oneAPI Toolkits

Behind the Scenes: Arming Researchers with Visualization Know-How

Code Together — Fri, 11 Feb 2022 04:33:25 -0700

Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and when in the hands of scientists and researchers, they can visualize, interact with, and get better insights from their data. In this podcast, Anne Bowen, a research engineering scientist at the Texas Advanced Computing Center (TACC) shares this process and exciting SciVis use cases with rhinoviruses, oceanography and hydrodynamics, plasma structures, and more.

Guests

Anne Bowen, research engineering scientist, Texas Advanced Computing Center (TACC), University of Texas at Austin
Donna Nemshick, performance validation lead, Advanced Rendering and Visualization group., Intel

Learn more

Learn.TACC.UTexas.edu

TACC.UTexas.edu

Intel oneAPI Rendering Toolkit

oneAPI: Driving a New Era of Accelerated Computing

oneapi.com

Building Common Standards for Python Data APIs

Code Together — Mon, 01 Nov 2021 10:36:57 -0700

Adoption of Python has been enormous over the last decade. Why? It’s easy to use, accessible, versatile and can be used for AI, machine learning, data analytics, data visualization, and all types of science. Tune into how 3 experts are involved in building common standards for Python data APIs that can help users use a large collection of libraries to develop high-performance code without limitations on adding exotic features. Regarding the huge growth of custom libraries, “it was more a social problem than a technical problem…we should avoid writing more code. Writing yet another library is very likely not going to be the answer.” The Python Data API Consortium was organized to bring people together and solve a fundamental problem to deliver a common standard. Listen in. [26:32]

Guests:
Travis Oliphant, Quansight’s CEO and the creator of SciPy, NumPy, and Numba; founder/director of Anaconda, and founder of NumFOCUS
Ralf Gommers, co-director of Quansight Labs and director of the Python Data API Standards consortium
Areg Melik-Adamyan, principal engineer and engineering manager at Intel

To learn more
Python Data API Consortium (data-apis.org)
Intel oneAPI AI Analytics Toolkit

A Big Step Forward: Moving Ginkgo to oneAPI

Code Together — Fri, 23 Jul 2021 00:29:07 -0700

Ginkgo is a production-ready, sparse linear algebra library used for HPC on GPU architectures. It’s now using oneAPI cross-architecture programming to support its foundational design with a high level of performance portability, and focus on software sustainability. ExpertsHartwig Anzt at Karlsruhe Institute of Technology (KIT) and Univ. of Tennessee, and Terry Cojean of KIT provide their insights on lessons learned moving CUDA code to other hardware architectures, and tools that help smooth that transition. “…The oneAPI ecosystem has proven to be a very powerful and useful option for us to actually target different architectures that are all supported by oneAPI…” Listen in. [21:19]

Guests:
Hartwig Anzt, research scientist at University of Tennessee, and group leader at Karlsruhe Institute of Technology (KIT)
Terry Cojean, lead developer of Ginkgo software at KIT
George Silva, Intel academic programs – program manager

To learn more:
Ginkgo project (GitHub)
Ginkgo project using oneAPI (Intel DevMesh)
Intel oneAPI Toolkits | Intel DPC++ Compatibility Tool| Free Download of Intel oneAPI Base Toolkit
Intel DevMesh for oneAPI projects

SciVis Unveils a Billion Cells, Covid-19 & Invisible Monsters

Code Together — Mon, 19 Jul 2021 01:01:52 -0700

Scientific visualization (SciVis) is providing new insights in health care and many other research areas in ways that we couldn’t imagine a decade ago. It’s an evolving field where extracting visualizations from very large data sets can improve analysis, diagnosis and patient outcomes while reducing costs – or even uncover hidden discrimination. Hear from Teodora (Dora) Szasz of the University of Chicago and Donna Nemshick of Intel on how SciVis can be transformative in areas such as understanding a billion simulated cells for tumors, creating the Covid-19 model, pioneering medical care, and even studying images in children’s books for gender inequality.
Listen in. [25:51]

Guests:
Teodora (Dora) Szasz, computational scientist, Research Computing Center of University of Chicago

Donna Nemshick, performance validation lead, Intel Advanced Rendering & Visualization Architecture Group

To learn more
Intel oneAPI Rendering Toolkit | Free Download | Innovative Usages Video

University of Chicago Research Computing Center

University of Chicago Visualization Laboratory

ZIB’s oneAPI Story: Discovering Portability across Multi-vendor Hardware

Code Together — Thu, 01 Jul 2021 21:49:54 -0700

Heterogeneous programming is challenging for developers because it’s been difficult to code or forces compromises in performance. oneAPI is working to break that mold. Many HPC research centers, enterprises and developers are now adopting oneAPI. Hear from experts at Zuse Institute Berlin (ZIB) on their oneAPI story: “We want to have most code portability across different processor architectures, and we don’t want to be bound to specific architectures,” says Dr. Thomas Steinke, head of ZIB’s super computing department. Listen in. [24:01]

Guests
Dr. Thomas Steinke, head of the super computing department, Zuse Institute Berlin (ZIB)
Dr. Steffen Christgau, expert in parallel and distributed computing, super computing and algorithms for innovative architectures, ZIB
Klaus-Dieter Oertel, HPC senior technical consultant, Intel

To learn more:
A oneAPI Case Study: easyWave – A Tsunami Simulations Application [Video]
Gaining Support for Multiple Device by Migrating a CUDA Code to oneAPI—Experiences with the Intel® DPC++ Compatibility Tool?
Zuse Institute Berlin
Intel oneAPI Toolkits
Intel DPC++ Compatibility Tool

Building Cross-architecture, Cross-vendor Tools for HPC Application Developers

Code Together — Tue, 29 Jun 2021 16:23:21 -0700

Just as a carpenter needs tools to build a house, a developer needs tools to write code and programs. This often means relying on other coders to develop tools and building on that foundation. Xiaozhu Meng, a research scientist at Rice University shares the progress of the HPC Toolkit Project. It’s focused on performance tuning – to help with problems like how to map the performance numbers from machine-code back to a higher-level programming language construct; or for GPUs, doing fine-grained management to manage performance inside kernels. He also discusses exascale computing, and how oneAPI fits in the mix for tools to help developers. Listen in. [20:30]

Guests:
Xiaozhu Meng, research scientist focused on HPC developer tools, Rice University
Sujata Tibrewala, Intel oneAPI developer community manager

To learn more:
How to use HPC Toolkit Project (YouTube video)
HPC Toolkit Project on Intel® DevMesh
software.intel.com/oneAPI

Advancing Bioinformatics with Modern Hardware, HPC Compute + Software

Code Together — Mon, 14 Jun 2021 01:39:16 -0700

Bioinformatics is advancing health-care research by using computation to understand biological data. It’s useful for large complex data sets used in determining gene and protein functions, establishing evolutionary relationships, and predicting 3D shapes of proteins. Two experts, Sergio Santander-Jimenez at University of Extremadura, and Ricardo Nobre of INESC-ID, are combining the power of modern hardware (CPUs+GPUs), HPC compute, and software to advance bioinformatics applications in areas including epistasis detection. Hear how they made it happen: [16:30]

Guests:

Sergio Santander-Jimenez, assistant professor, Dept. of Computer and Communications Technologies, University of Extremadura
Ricardo Nobre, researcher at INESC-ID in Lisbon, Portugal
Sujata Tibrewala, Intel’s oneAPI Developer Community manager

Learn More:

Cross-architecture high-order exhaustive epistasis detection on CPU and GPU devices
Accelerating 3-way Epistasis Detection with CPU+GPU processing. Paper presented in 23rd Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), New Orleans, 2020. DOI: 10.1007/978-3-030-63171-0_6
GitHub: Epistasis detection using DPC++ on Intel DevCloud source code
Intel DPC++ Compatibility Tool
oneAPI.com
Intel oneAPI Toolkits

Inspiring the Next Generation of Scientists & Coders

Code Together — Tue, 08 Jun 2021 02:27:10 -0700

The next generation of scientists and coders need more than a love of science and technology. The use of supercomputers in digital design to simulation pose opportunities solving the world’s biggest questions. Katherine Riley, director of science for Argonne’s Leadership Computing Facility, and Joe Curley, Intel senior director of oneAPI products, solutions and ecosystem, share what inspires them, and the unique characteristics to thrive in these careers. “It’s not just nerds working on ones and zeros, but we’re out to try to make a better planet.”

Guests
Katherine Riley, director of science, Argonne Leadership Computing Facility
Joe Curley, senior director, oneAPI Products, Solutions & Ecosystem, Intel

To learn more:
alcf.anl.gov
software.intel.com
oneapi.com

Extending the Roofline Model

Code Together — Tue, 25 May 2021 01:33:15 -0700

INESC-ID researchers Aleksandar Ilic and Diogo Augusto Pereira Marques reveal their journey in extending Roofline Modeling for use in application optimization, known as the Cache-aware Roofline Model, or CARM, which has been incorporated into the Intel® Advisor tool and recognized with an award from the HiPEAC community in Europe. They are now taking this model further, tackling different types of devices, including CPUs and GPUs, with the help of DPC++. Using CARM, developers can detect bottlenecks in their code and derive strategies to squeeze maximum performance out of their architecture.

Guests:
Aleksandar Ilic, Senior Researcher, HPC Architectures & Systems Group, INESC-ID
Diogo Augusto Pereira Marques, Researcher, HPC Architectures & Systems Group, INESC-ID

To learn more:
Cache-aware Roofline Model paper
Cache-aware Roofline Model Tutorial (oneAPI Dev Summit)
Intel® Advisor
oneAPI

A Renaissance at the Intersection of Media & Technology

Code Together — Fri, 21 May 2021 01:04:30 -0700

Despite its tough challenges, our global pandemic has opened the door to big opportunities, ushering in incredible innovation in visual effects and the discovery of amazing talent regardless of location. Real-time technology and tools, machine learning and artificial intelligence, and the rise of volume rendering, in conjunction with geometric rendering, are transforming storytelling. Collaboration on open technologies through the Academy Software Foundation is accelerating and democratizing development. Rob Bredow, SVP and Chief Creative Officer at Industrial Light & Magic, and Jim Jeffers, Senior Principal Engineer and Senior Director of Intel’s Advanced Rendering and Visualization team, cover these topics and more on this episode.

Guests:

Rob Bredow, SVP and Chief Creative Officer, Industrial Light & Magic
Jim Jeffers, Senior Principal Engineer and Senior Director of Advanced Rendering and Visualization, Intel

To learn more:
Academy Software Foundation
Intel oneAPI Rendering Toolkit
oneAPI

Driving Innovation Further Faster through Open Standards

Code Together — Fri, 23 Apr 2021 18:41:17 -0700

Dr. Ruymán Reyes Castro, CTO at Codeplay Software, and Kevin Harms, Senior Software Developer at Argonne Leadership Computing Facility, talk about their collaboration with the National Energy for Research Scientific Computing Center (NERSC) at Lawrence Berkeley Lab to enhance the LLVM-based DPC++ open source compiler, based on the SYCL standard, to support Nvidia GPUs. They discuss the key role of open communities in furthering innovation, building on top of the modern C++ standard to support accelerators and advanced hardware, fostering a strong ecosystem around SYCL and DPC++, the merits of the latest features in the SYCL 2020 standard, and more.

Guests:
Dr. Ruymán Reyes Castro, CTO, Codeplay Software
Kevin Harms, Senior Software Developer, Argonne Leadership Computing Facility

To learn more:
Intel LLVM repo
oneAPI for CUDA
oneAPI

Blazing a Trail in DPC++

Code Together — Fri, 23 Apr 2021 18:27:12 -0700

Epistasis detection holds great promise for the prevention and treatment of diseases such as Alzheimer’s, diabetes and breast cancer. INESC-ID researchers Aleksander Ilic and Rafael Torres Campos are collaborating with other researchers and developers across Portugal through the HiPErBio Project to advance the precision and efficiency of epistasis detection, using oneAPI DevCloud, Intel CPUs and Intel GPUs, such as the Intel® Iris® Xe MAX. Rafael shares his experiences in porting bioinformatics applications from OpenCL to DPC++ to target multiple hardware architectures, the speedups he achieved and some surprises along the way.

Guests:
Aleksander Ilic, Assistant Professor, Department of Electrical and Computer Engineering, IST University of Lisbon, and Senior Researcher, HPC Architectures & Systems Group, INESC-ID
Rafael Torres Campos, Researcher, High Performance Computing Architectures & Systems Group, INESC-ID

To learn more:
INESC-ID website
Euro-Par 2020 paper
oneAPI Dev Summit 2021
DevMesh project
oneAPI

Acceleration at the Edge

Code Together — Tue, 06 Apr 2021 01:52:56 -0700

“It’s really exciting to see all the sorts of things that are becoming smart in our daily lives,” remarks John Melonakos, CEO & co-founder of ArrayFire. In this episode, John talks about the challenges he sees as heavy computational workloads move closer to the edge, and how important data parallelism and open standards are in accelerating these workloads for businesses across defense, healthcare, energy, entertainment and more. John and Intel engineer James Reinders also share their passion in arming the next generation of developers with powerful tools to build the next big thing.

To learn more:
Cycling through SYCL (blog)
oneapi.com

Guests:
John Melonakos, CEO & Co-founder, ArrayFire
James Reinders, Engineer, Intel

On a Mission of Disaster Management & Scientific Discoveries

Code Together — Wed, 24 Mar 2021 02:37:18 -0700

We explore the critical role of visualization and visual analytics in disaster management and medical research with Paul Navrátil, Director of Visualization at the Texas Advanced Computing Center (TACC), and Jim Jeffers, Sr. Principal Engineer and Sr. Director of Advanced Rendering and Visualization at Intel. Paul reveals TACC’s approach to recent weather crises, as well as their partnership with National Oceanic and Atmospheric Administration (NOAA) in hurricane forecasting. He also talks about their collaboration with the Open Science community in the national HPC mobilization effort to fight COVID-19. Jim unpacks the complexities of in-situ analysis, ray tracing and line-of-sight physics. And they jam about the SOLAR Ray Tracing Consortium, Khronos Group ANARI Working Group and more.

To learn more:
Intel oneAPI Rendering Toolkit
https://www.oneapi.com/
www.tacc.utexas.edu/
Stampede II
Frontera
SOLAR Ray Tracing Consortium
WARRAS.SOLARRT.org
Khronos ANARI Working Group
Open Science community

Guests:
Paul Navrátil, Director of Visualization, Texas Advanced Computing Center (TACC)
Jim Jeffers, Sr. Principal Engineer and Sr. Director of Advanced Rendering and Visualization, Intel

Porting GROMACS Across Heterogeneous Architectures

Code Together — Mon, 08 Mar 2021 03:12:14 -0700

In this second episode about GROMACS, one of the world’s most widely used open source molecular dynamics (MD) applications, we explore the quest to simplify portable, performant programming with Erik Lindahl, Biophysics Professor at Stockholm University & KTH Royal Institute of Technology, and Roland Schulz, Parallel Software Engineer at Intel. Andrey Alekseenko, Postdoctoral Fellow at KTH Royal Institute of Technology and SciLifeLab, shares his experiences porting GROMACS across hardware architectures. And our guests talk about Khronos SYCL’s rapid growth and vibrant, thriving community.

Guests:
Erik Lindahl, Biophysics Professor, Stockholm University & KTH Royal Institute of Technology
Andrey Alekseenko, Postdoctoral Fellow, KTH Royal Institute of Technology & SciLifeLab
Roland Schulz, Parallel Software Engineer, Intel

To learn more:
gromacs.org
gitlab.com/gromacs/gromacs
github.com/topics/sycl
github.com/intel/llvm
oneapi.com

Expanding the SYCL 2020 Ecosystem with hipSYCL and DPC++

Code Together — Tue, 26 Jan 2021 03:52:21 -0700

Open standards underpin the future of heterogeneous programming, and as Intel Principal Engineer Jeff Hammond points out, SYCL has proven in many ways that “standards don’t cost you a thing and you get portability.” A modern C++ language, SYCL has demonstrated amazing growth and now boasts four implementations—ComputeCpp, triSYCL, hipSYCL and DPC++. hipSYCL Creator Aksel Alpay explains some of the differences between these implementations, and how hipSYCL is evolving to incorporate DPC++ features contributed to the SYCL 2020 specification, including unified shared memory (USM), reductions, group algorithms and subgroups. The two also dive into a discussion of buffers and accessors, and Aksel debunks a few myths around hipSYCL.

Guests:
Aksel Alpay, Engineer, Heidelberg University Computing Center
Jeff Hammond, Principal Engineer at Intel

To learn more:
hipSYCL (GitHub)
Dive into DPC++ (Blog)
DPC++ Data Management across Multiple Architectures (Blog)
Data Parallel C++ Book
oneAPI.com

Igniting the Next Generation of Deep Learning

Code Together — Wed, 06 Jan 2021 02:31:06 -0700

Increased processing power, massive amounts of data, and the development of more advanced algorithms have brought deep learning to the forefront, and TensorFlow has emerged as one of the world’s most popular machine learning frameworks. Penporn Koanantakool, Google Senior Software Engineer, and Ramesh, Intel Principal Engineer, share how their teams are collaborating to optimize TensorFlow for the latest Intel technologies using oneAPI Deep Neural Network Library (oneDNN). The result: remarkable performance gains that will benefit applications spanning natural language processing, image and object recognition, autonomous vehicles, fraud detection, medical diagnosis and treatment, and much more. Intel-optimized TensorFlow is now made available through Intel AI Analytics Toolkit and is being used within Google Cloud Platform and a Google Health project.

To learn more:
Intel oneAPI Deep Neural Network Library
Intel AI Analytics Toolkit
Accelerating DeepVariant with Intel’s AVX-512 Optimizations
TensorFlow-MKL int8 Optimizations for Cascade Lake
TensorFlow-MKL bfloat16 Optimizations for Cooper Lake

A Proving Ground for Open Standards

Code Together — Tue, 08 Dec 2020 04:19:42 -0700

Andrew Lumsdaine, Chief Scientist at Northwest Institute for Advanced Computing, shares his journey in parallelism, from the HPC community’s early skepticism of and eventual move to C++ to build large systems, to his pursuit to develop a series of C++ libraries to strike at the contradiction between abstraction and performance, to today’s reality that parallelism and heterogeneity are essential for achieving performance. Together, Andrew and Mike Voss, Principal Engineer at Intel, underscore the value of open standards and high-quality implementations of open standards—specifically, the oneAPI specification and Intel oneAPI toolkits, respectively—and provide listeners with ways to get involved in helping shape ISO C++, Khronos SYCL, DPC++ and oneAPI.

Guests:
Andrew Lumsdaine, Chief Scientist, Northwest Institute for Advanced Computing
Mike Voss, Principal Engineer, Intel

To learn more:
oneAPI.com
Intel oneAPI Toolkits

At the OpenMP Forefront

Code Together — Thu, 12 Nov 2020 02:40:26 -0700

Who better to have a spicy discussion with about #OpenMP than Tim Mattson and Bronis de Supinski? These two have truly lived at the forefront of the amazing, decades-long OpenMP journey, from its inception to its preeminence as a foundational tool for HPC application programmers. Listen to what’s coming in 5.1 and beyond, how the C++ ecosystem is evolving, why Python in HPC, and have fun as these two razz each other.

Guests:
Bronis de Supinski, Chief Technology Officer, Livermore Computing, Lawrence Livermore National Lab; Chair, OpenMP Language Committee

Tim Mattson, Senior Principal Engineer, and Manager, Programming Systems Research Group, Intel

To learn more:
OpenMP.org
Intel oneAPI HPC Toolkit
oneAPI

Celebrating Women Innovators: Two Trailblazers Who Are Advancing Technology

Code Together — Wed, 11 Nov 2020 04:10:08 -0700

Denisa Constantinescu, a PhD student in Mechatronics, and a researcher in the Computer Architecture Department at the University of Malaga, and Maura Tokay, a lead software programmer at Science Systems and Applications, Inc., and a computer scientist within the Department of Agriculture, share how their work is helping advance the fields of robotics, economics, manufacturing, agriculture and more, supported by oneAPI and the Intel DevCloud. They inspire us with glimpses of their journeys into tech, and what they’re looking forward to.

Guests:
Denisa Constantinescu, a PhD student in mechatronics and a researcher in the Computer Architecture Department at the University of Malaga

Maura Tokay, computer scientist and lead software programmer at Science Systems and Applications, Inc., and recent Master’s graduate at the University of Maryland Baltimore County (UMBC)

To learn more:
denisa-c.com
devmesh.intel.com/projects/predicting-corn-wheat-and-soybean-yield
oneapi.com/events/devcon2020
oneAPI
devcloud.intel.com/oneapi/get_started

In Pursuit of the Holy Grail: Portable, Performant Programming

Code Together — Tue, 03 Nov 2020 11:32:38 -0700

Dr. Tom Deakin, senior research associate and lecturer in the High-Performance Computing Research Group at the University of Bristol, and Dr. James Brodman, software engineer at Intel, unpack the tricky topic of performance portability to reveal what this concept truly means and ways to achieve it. As contributors to the Khronos SYCL Working Group—from the user and implementer perspectives—they talk about the exciting growth of the SYCL community, marked, in part, by its implementations that now support a variety of hardware architectures, including DPC++ and hipSYCL.

Guests:
Tom Deakin, Senior Research Associate and Lecturer, High-Performance Computing Research Group, University of Bristol
Dr. James Brodman, Software Engineer, Intel

Data Parallel C++ compiler
Khronos SYCL
Intel DevCloud
SYCL.tech
High-Performance Computing Research Group, University of Bristol
hpc.tomdeakin.com
oneAPI
Supercomputing 2020

Optimizing HPC Clusters: Meeting the Challenges of Today and Tomorrow

Code Together — Thu, 22 Oct 2020 03:18:04 -0700

As high performance computing (HPC) moves far beyond its traditional users to the domains of AI, machine learning, enterprises and the cloud, and heterogeneous programming becomes the norm, Nico Mittenzwey, senior HPC engineer at Megware Computer, and Mike Lee, technical, enterprise and cloud segment marketing manager at Intel, discuss the considerations in optimizing HPC clusters and applications. Nico explains how the Intel MPI Library has helped Megware and its customers rise to these challenges, providing real-world examples of two of the company’s most recent projects. He also explores the challenges of fragmentation in heterogeneous computing environments, and how a single, common programming model can help address these challenges.

To learn more:
software.intel.com/content/www/us/en/develop/tools/mpi-library.html
software.intel.com/content/www/us/en/develop/topics/data-center.html
megware.com/en/
oneapi.com

An Open Road to Swift Dataframe Scaling

Code Together — Tue, 15 Sep 2020 04:35:40 -0700

Data scientists spend 60% of their time cleaning and preprocessing data, transforming this dirty data into crystallized insights. Dataframes, such as Pandas, provide exceptional tooling to address data wrangling tasks, yet Pandas themselves increasingly lack ease and speed as they scale. Alex Baden, Technical Director at OmniSci, and Devin Petersohn, Machine Learning Engineer at Intel, dive into the challenges and considerations of dataframe scaling. They explore how the Intel Modin / OmniSci solution, part of the Intel AI Analytics Toolkit, offers an open road to quick, transparent scaling across heterogeneous architectures. They also explain how this solution’s integration with the rest of the Python ecosystem enables data scientists to focus on extracting value from data rather than provisioning and orchestrating resources.

Guests:
Alex Baden, Technical Director, OmniSci
Devin Petersohn, Machine Learning Engineer, Intel

To learn more:
Intel AI Analytics Toolkit (Beta)
Installing Intel AI Analytics Toolkit (Beta)
Modin Discourse
OmniSciDB
OmniSciDB Repo
oneAPI

Pushing the Boundaries of What’s Possible

Code Together — Wed, 26 Aug 2020 02:56:54 -0700

To deliver increasingly captivating stories in the world of animated movies takes passion and determination. The passion to continually push the boundaries of what’s possible. The determination to continually seek ways to make technology easily approachable by artists, so that the artists can focus on what they’re best at—telling stories that capture our imaginations. Max Liani, Senior Lead Engineer of RenderMan at Pixar Animation Studios, and Alex Wells, Principal Engineer at Intel, talk about collaborating to push the boundaries of what’s possible at the intersection of technology and art, and the ramifications that pervade outside the realm of motion pictures.

Guests:
Max Liani, Senior Lead Engineer of RenderMan, Pixar Animation Studios
Alex Wells, Principal Engineer, Intel

To learn more:
Supercharging Pixar’s RenderMan XPU with Intel AVX-512 (SIGGRAPH 2020)
oneAPI
Intel oneAPI Toolkits

Understanding Our World through GROMACS (Part I of II)

Code Together — Thu, 13 Aug 2020 03:13:22 -0700

In Part I of two episodes about GROMACS, one of the world’s most widely used open source molecular dynamics (MD) applications, Erik Lindahl, Biophysics Professor at Stockholm University & KTH Royal Institute of Technology, and Roland Schulz, Parallel Software Engineer at Intel, unpack the mysteries of MD. As Erik explains, MD helps us understand “everything from the proteins inside our bodies to the largest galaxies in the world.” Erik and Roland discuss MD simulation using GROMACS, the immense benefits and challenges it brings, its role in the fight against our global pandemic, and some of the most promising developments. They also explore the significance of the Folding@home project as it relates to the world’s supercomputers and exascale computing.

Guests:
Erik Lindahl, Biophysics Professor, Stockholm University & KTH Royal Institute of Technology
Roland Schulz, Parallel Software Engineer, Intel

To learn more:
gromacs.org
gitlab.com/gromacs/gromacs
twitter.com/GMX_TWEET
foldingathome.org/home
github.com/topics/sycl
oneapi.com

Read/Download the transcript.

Let Us Entertain You

Code Together — Wed, 29 Jul 2020 03:48:10 -0700

Krystian Ligenza, Autodesk Maya Software Architect, and Mike Voss, Intel Principal Engineer, talk about how the need for immersive experiences in VFX and 3D animated movies and games has driven the need for increasingly more capable (and complex) software and hardware. They discuss how Autodesk and Intel are addressing these challenges, and explain how the companies are collaborating to equip the most iconic animation studios and game developers with the tools needed to deliver ultra-realistic, award-winning entertainment experiences.

Guests:
Krystian Ligenza, Software Architect, Autodesk
Mike Voss, Principal Engineer, Intel

Learn more:
oneAPI.com
oneAPI Threading Building Blocks (on GitHub)
Intel oneAPI Threading Building Blocks
Autodesk 2020 Film and TV, VFX, Games, and Design Showreel
Parallel Evaluation of Animated Maya Characters (SIGGRAPH 2017)
Parallel Maya White Paper

Read/Download the transcript.

Why oneAPI?

Code Together — Thu, 16 Jul 2020 03:47:17 -0700

Is oneAPI living up to its promise? How do oneAPI and DPC++ relate to the Khronos Group SYCL and ISO C++ standards? Andrew Richards, Codeplay Software CEO, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National Lab, respond to these provocative questions and more from Sanjiv Shah, Intel GM and VP of Developer Software Engineering. They share their experiences with oneAPI and DPC++, and talk about oneAPI’s best aspects and what they would like to change about this cross-architecture programming model. Listen in.

To learn more:
oneAPI.com

Guests:
Andrew Richards, CEO, Codeplay Software
Hal Finkel, Lead for Compiler Technology and Programming Languages, Argonne National Lab

Read/Download the transcript.

Collaborating to Build a Heterogeneous Future

Code Together — Mon, 29 Jun 2020 20:46:06 -0700

Ronan Keryell, principal software engineer at Xilinx, and Jeff Hammond, principal engineer at Intel, explain why open collaboration — modeled through open source and open standards — is key to solving some of today’s biggest challenges in research and industry, revealing some of the misconceptions, or least understood aspects, along the way. Then they explore the value of open languages and programming models, diving into ISO C++, Khronos Group SYCL, the amazing SYCL community, and what excites them most about the SYCL 2020 Provisional Specification.

To learn more:
Khronos Group SYCL
oneAPI.com

Read/Download the transcript.

Bridging Performance Abstraction Layers in Data Science

Code Together — Tue, 09 Jun 2020 13:40:54 -0700

Peter Wang, CEO and Co-Founder of Anaconda, explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together. He and David Liu, an AI Solutions Engineer at Intel, talk about the latest advancements in hardware and software and how to make them more accessible to developers, as well as how to bridge the multiple layers of abstraction. They also explore collaboration on building a low-power, high-performance data science stack, democratization of data literacy, and the future of Python in this action-packed discussion between two data science experts.

To learn more:
AI Analytics Toolkit
Intel Distribution for Python
Intel Scalable Dataframe Compiler
Anaconda

Read/Download the transcript.

Porting Math Libraries Across Heterogeneous Architectures

Code Together — Wed, 27 May 2020 04:07:38 -0700

Existing math kernel libraries have lacked portability across heterogeneous platforms—until now. A unifying programming model—and availability of standard library interfaces—enables development of performance-portable libraries among diverse hardware architectures. In this episode, Julia Sukharina, Senior Engineering Manager at Intel, and Mehdi Goli, Principal Software Engineer at Codeplay Software, talk about a collaborative project to make this portability possible, and Mehdi dives into his work to enable the first math library implementation for #oneAPI on Nvidia GPUs. Have a favorite library you want to enable, or want to contribute a proposal for a new math interface to drive standardization across multiple hardware?

To get started, visit:
github.com/oneAPI-SRC/oneMKL

Read/Download the transcript.

Sparking Innovation through Standards

Code Together — Wed, 13 May 2020 03:07:24 -0700

In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video games to modern AI, Andrew weaves an unexpected yet common thread between these, and the two explore how oneAPI builds on this solid foundation. Andrew talks about Codeplay’s contributions to oneAPI, focused on enabling development using oneAPI on Nvidia GPUs, while Geoff shares his vision of enabling broad data parallelism and portability across platforms and provides a glimpse into what’s next for oneAPI.

Join the conversation at:
oneapi.com

Read/Download the transcript.

A Shift to Modern C++ Programming Models

Code Together — Tue, 28 Apr 2020 02:54:56 -0700

In this episode of Code Together, we talk to Alice Chan, Vice President and General Manager of Compiler Engineering at Intel, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National Lab, about how the industry is uniting to address the need for programming portability and performance across diverse architectures, particularly important with the rise of data-intensive workloads like artificial intelligence and machine learning. We discuss the important shift to modern C++ programming models, and how the cross-industry oneAPI initiative, and DPC++, bring much-needed portable performance to today’s developers.

Join the conversation at:
oneapi.com

Read/Download the transcript.