high performance computing on graphics processing units: hgpu.org

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Compiler and runtime techniques for bulk-synchronous programming models on CPU architectures

Hee-Seok Kim

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Tags: Compilers, Computer science, OpenCL, performance portability, Thesis

March 8, 2016 by hgpu

Alpaka – An Abstraction Library for Parallel Kernel Acceleration

Erik Zenker, Benjamin Worpitz, Rene Widera, Axel Huebl, Guido Juckeland, Andreas Knupfer, Wolfgang E. Nagel, Michael Bussmann

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Tags: Computer science, CUDA, Mathematical Software, nVidia, OpenMP, Package, performance portability, Portability, Tesla K20, Tesla K80

March 1, 2016 by hgpu

Writing a performance-portable matrix multiplication

Jorge F. Fabeiro, Diego Andrade, Basilio B. Fraguela

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Tags: AMD FirePro S9150, ATI, Code generation, Computer science, Heterogeneous systems, Intel Xeon Phi, Matrix multiplication, nVidia, OpenCL, Package, Performance, performance portability, Tesla K20

February 11, 2016 by hgpu

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

Simon McIntosh-Smith, Michael Boulton, Dan Curran, James Price

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Tags: CloverLeaf, Fluid dynamics, GPU, Intel Xeon Phi, lattice Boltzmann, OpenCL, performance portability, ROTORSIM, structured grid

June 17, 2014 by simonmcs

High performance in silico virtual drug screening on many-core processors

Simon McIntosh-Smith, James Price, Richard B Sessions, Amaurys A Ibarra

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Tags: GPU, molecular docking, OpenCL, performance portability, virtual screening, Xeon Phi

April 11, 2014 by simonmcs

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

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high performance computing on graphics processing units: hgpu.org

Compiler and runtime techniques for bulk-synchronous programming models on CPU architectures

Alpaka – An Abstraction Library for Parallel Kernel Acceleration

Writing a performance-portable matrix multiplication

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

High performance in silico virtual drug screening on many-core processors

Recent source codes

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

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