high performance computing on graphics processing units: hgpu.org

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Regression Modelling of Power Consumption for Heterogeneous Processors

Tahir Diop

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, nVidia, OpenCL, Tesla M2090, Thesis

November 27, 2013 by hgpu

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Wasuwee Sodsong, Jingun Hong, Seongwook Chung, Shin-Dug Kim, Bernd Burgstaller

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Tags: Compression, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 680, OpenCL, Performance

November 23, 2013 by hgpu

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Fernando Jorge Marques Alexandre

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Tags: ATI, ATI Radeon HD 7950, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Thesis

November 20, 2013 by hgpu

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Shuo Chen

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2070, Tesla C2075, Thesis

November 12, 2013 by hgpu

A High Performance Random Number Generator Using Heterogeneous Computing Platform

Fan Li, Minglu Jin

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Pseudo-random number generators, Tesla C2070

November 11, 2013 by hgpu

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Dongjin Kim, Kyu-Ho Park

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix decomposition, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

November 8, 2013 by hgpu

Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

Federico Ciccozzi

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

November 8, 2013 by hgpu

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

Thierry Coppey

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia GeForce GT 650 M, Package, RNA, Smith-Waterman algorithm

November 4, 2013 by hgpu

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

Kenny Ballou, Nilab Mohammad Mousa

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia

November 4, 2013 by hgpu

Accelerating Inclusion-based Pointer Analysis on Heterogeneous CPU-GPU Systems

Yu Su, Ding Ye, Jingling Xue

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Rendering, Tesla K20

November 3, 2013 by hgpu

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

Ichitaro Yamazaki, Tingxing Dong, Raffaele Solca, Stanimire Tomov, Jack Dongarra, Thomas Schulthess

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla C2050, Tesla M2090

November 2, 2013 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

Regression Modelling of Power Consumption for Heterogeneous Processors

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

A Hybrid GPU/CPU FFT Library for Large FFT Problems

A High Performance Random Number Generator Using Heterogeneous Computing Platform

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

Accelerating Inclusion-based Pointer Analysis on Heterogeneous CPU-GPU Systems

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

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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