high performance computing on graphics processing units: hgpu.org

Moritz Kreutzer, Jonas Thies, Melven Rohrig-Zollner, Andreas Pieper, Faisal Shahzad, Martin Galgon, Achim Basermann, Holger Fehske, Georg Hager, Gerhard Wellein

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, MPI, nVidia, OpenMP, Package, Sparse matrix, Tesla K20

July 30, 2015 by hgpu

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

Xavier Saez, Alejandro Soba, Edilberto Sanchez, Mervi Mantsinen, Jose M. Cela

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Tags: Algorithms, ARM, Heterogeneous systems, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla M2090

July 29, 2015 by hgpu

Sound Synthesis Using Physical Modeling on Heterogeneous Computing Platforms

M. Pluta, B. Borkowski, I. Czajka, K. Suder-Debska

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Tags: Acoustics, Algorithms, Computer science, Finite difference, Heterogeneous systems, nVidia, nVidia GeForce GT 750 M, OpenCL

July 29, 2015 by hgpu

An efficient KNN algorithm implemented on FPGA based heterogeneous computing system using OpenCL

Yuliang Pu, Jun Peng, Letian Huang, John Chen

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Tags: Algorithms, Computer science, Data mining, FPGA, Heterogeneous systems, Image recognition, Nearest neighbour, OpenCL

July 27, 2015 by hgpu

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Srajan Paliwal, Saurabh Tiwary, Bhaskar Chaudhury, Manish K. Gupta

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Tags: Algorithms, Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K40

July 22, 2015 by hgpu

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

Ashish Bhatnagar

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Tags: Algorithms, Computer science, Computer vision, GPU cluster, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 770, OpenCL, Thesis

July 20, 2015 by hgpu

Improving performance portability for GPU-specific OpenCL kernels on multi-core/many-core CPUs by analysis-based transformations

Mei Wen, Da-fei Huang, Chang-qing Xun, Dong Chen

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, OpenCL, Performance

July 20, 2015 by hgpu

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

Mark James Abraham, Teemu Murtola, Roland Schulz, Szilard Pall, Jeremy C. Smith, Berk Hess, Erik Lindahl

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Tags: Algorithms, Biomolecules, Chemistry, CUDA, Heterogeneous systems, Molecular simulation, nVidia, nVidia GeForce GTX 980, OpenCL, Package, Tesla K40

July 20, 2015 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels

Accelerating the pre-processing stages of JPEG encoder on a heterogenous system using OpenCL

Exploiting two-level parallelism by aggregating computing resources in task-based applications over accelerator-based machines

Flexible Linear Algebra Development and Scheduling with Cholesky Factorization

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

Sound Synthesis Using Physical Modeling on Heterogeneous Computing Platforms

An efficient KNN algorithm implemented on FPGA based heterogeneous computing system using OpenCL

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

Improving performance portability for GPU-specific OpenCL kernels on multi-core/many-core CPUs by analysis-based transformations

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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