high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2075

January 10, 2013 by hgpu

Portable Mapping of Data Parallel Programs to OpenCL for Heterogeneous Systems

Dominik Grewe, Zheng Wang, Michael F.P. O'Boyle

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Tags: ATI, ATI Radeon HD 7970, Compilers, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 580, OpenCL, Programming Languages

January 8, 2013 by hgpu

Implementation of FDTD-Compatible Green’s Function on Heterogeneous CPU-GPU Parallel Processing System

Tomasz P. Stefanski

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, nVidia, nVidia GeForce GTX 680

January 8, 2013 by hgpu

Interactive Refactoring for GPU Parallelization of Affine Loops

Kostadin Damevski, Madhan Muralimanohar

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 2000

January 7, 2013 by hgpu

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

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Tags: ATI, ATI Radeon HD 6870, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 540 M, OpenCL, Optimization

December 23, 2012 by hgpu

Implementation of Stereo Matching Using High Level Compiler for Parallel Computing Acceleration

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 550 Ti, nVidia Quadro FX 3700, OpenCL

December 18, 2012 by hgpu

Towards Domain-specific Computing for Stencil Codes in HPC

Richard Membarth, Frank Hannig, Jurgen Teich, Harald Kostler

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Source codes

Tags: Algorithms, Code generation, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

December 12, 2012 by hgpu

Scaling High Performance Domain-Specific Language Implementation with Delite

Hassan Chafi

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 275, Thesis

December 10, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Juan Jose Fumero

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Tags: Algorithms, Compilers, Computer science, Heterogeneous systems, MPI, OpenACC, OpenCL

December 4, 2012 by hgpu

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Bruno Gouvea de Barros, Rafael Sachetto Oliveira, Wagner Meira Jr., Marcelo Lobosco, Rodrigo Weber dos Santos

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Tags: Cluster computing, CUDA, Heterogeneous systems, Medicine, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C1060

December 3, 2012 by hgpu

Parallel Nonbinary LDPC Decoding on GPU

Guohui Wang, Hao Shen, Bei Yin, Michael Wu, Yang Sun, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 470, Parity-check codes

November 29, 2012 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

On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest

Portable Mapping of Data Parallel Programs to OpenCL for Heterogeneous Systems

Implementation of FDTD-Compatible Green’s Function on Heterogeneous CPU-GPU Parallel Processing System

Interactive Refactoring for GPU Parallelization of Affine Loops

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Implementation of Stereo Matching Using High Level Compiler for Parallel Computing Acceleration

Towards Domain-specific Computing for Stencil Codes in HPC

Scaling High Performance Domain-Specific Language Implementation with Delite

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Parallel Nonbinary LDPC Decoding on GPU

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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