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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: Alex Baden, algebra, Apache Arrow, CPU, data analytics, data preprocessing, Data Science, data science pipeline, data scientist, database, dataframe, Devin Petersohn, DPC++, GPU, heterogeneous, Intel, Intel AI Analytics Toolkit, Intel Optane, just-in-time compilation, LLVM, Modin, NoSQL, OmniSci, OmniSciDB, oneAPI, Open Source, Pandas, Python, scikit-learn, SQL, VTune Profiler
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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: Alex Wells, animation, CG, data-oriented, DPC++, heterogeneous, Intel, JIT, just-in-time compilation, Max Liani, motion picture, movie, object-oriented, oneAPI, Open Shading Language, Pixar, rendering, RenderMan, VFX, Visual effects
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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: AI, biophysics, C++, Coulomb’s Law of Interaction, COVID, CUDA, developers, distributed computing, DPC++, electrostatic, exascale, floating point operations, Folding@home, GROMACS, HPC, KTH Royal Institute of Technology, ligno-cellulose, MD, molecular, molecular dynamics, molecular simulation, oneAPI, pandemic, parallel programming, parallelism, protein folding, SIMD, Stockholm University, Supercomputing, SYCL
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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: 3D, animation, animation studio, authoring graph, AutoDesk, C++, character animation, computer animation software, CPU, DPC++, Entertainment, flow graph, game, game developer, Game Development, GPU, heterogeneous programming, Krystian Ligenza, Maya, Media, modeling, modeling animation, motion picture, MotionBuilder, non-uniform memory access, NUMA, oneAPI, oneTBB, parallel programming, parallelism, rendering, simulation, software development, software tools, TBB, Threading Building Blocks, VFX, Visual effects
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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: accelerator, Andrew Richards, Argonne, C++, CGRA, Codeplay, compute-intensive, CPU, cross-architecture, CUDA, data-intensive, DPC++, FPGA, GPU, Hal Finkel, heterogeneous computing, high performance computing, HPC, Intel, ISO, Khronos Group, NVIDIA, oneAPI, Open Source, Open Standards, OpenCL, Programming Languages, programming models, software programming, Supercomputer, SYCL, unified shared memory, USM
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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: AMD, C++, CGRA, Codeplay, ComputeCpp, CPU, cross-architecture, CUDA, DPC++, FPGA, GPU, heterogeneous computing, hipSYCL, HPC, Intel, ISO, Khronos Group, NVIDIA, oneAPI, Open Source, Open Standards, OpenCL, OpenMP, Programming Languages, programming models, Ronan Keryell, software programming, Supercomputing, SYCL, triSYCL, unified shared memory, USM, Xilinx
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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…] |
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Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: AI, Anaconda, artificial intelligence, Big Data, Conda, cross-architecture, data analyst, data analytics, data literacy, data parallelism, Data Science, data scientist, David Liu, DPC++, heterogeneous computing, machine learning, Numba, numerical, NumPy, oneAPI, Peter Wang, Programming Languages, PyData, Python, scientific computing, SciPy, software programming
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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…] |
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Categories: Audio Podcast, Code Together, Intel Tags: BLAS, C++, Codeplay Software, compute-intensive, CuBLAS, CUDA, Data Parallel C++, data-intensive, developers, DPC++, GPU, heterogeneous, Intel Math Kernel Library, Julia Sukharina, libraries, linear algebra, math, math libraries, Mehdi Goli, MKL, NVIDIA, oneMKL, OpenCL, SYCL
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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…] |
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Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: Accelerators, AI, artificial intelligence, C++, compilers, compute-intensive, CPU, CUDA, data parallel, data-intensive, developers, exascale, Geoff Lowney, GPU, high performance computing, HPC, Khronos, Khronos Group, LLVM, NVIDIA, oneAPI, Open Source, OpenCL, parallel programming, parallelism, Standards, SYCL
Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: Alice Chan, Argonne National Lab, artificial intelligence, C++, Compiler Engineering, Compiler Technology, cross-architecture, CUDA, developers, DPC++, GPU, Hal Finkel, hardware abstraction, heterogeneous, Khronos, machine learning, oneAPI, Programming Languages, programming portability, SYCL