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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

“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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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++ [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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, [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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, [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]

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 [See the full post…]