high performance computing on graphics processing units: hgpu.org

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B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics

Pierre Wahl, Dany-Sebastien Ly-Gagnon, Christof Debaes, David A.B. Miller, Hugo Thienpont

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Tags: Algorithms, FDTD, Finite-difference time-domain, Mesoscale and Nanoscale Physics, nVidia, Optics, Package, Physics, Tesla C1060

November 14, 2011 by hgpu

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Hormuz Mostofi

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Tags: Algorithms, Computer vision, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8600 M GT, Package

November 13, 2011 by hgpu

Efficient GPU Implementation for Particle in Cell Algorithm

Rejith George Joseph, Girish Ravunnikutty, Sanjay Ranka, Eduardo D'Azevedo, Scott Klasky

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Tesla T10

November 13, 2011 by hgpu

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

J. Duato, Pena, A.J. a, F. Silla, R. Mayo, E.S. Quintana-Orti

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Tags: Computer science, CUDA, Distributed computing, Energy-efficient computing, nVidia, Package, PC cluster, Tesla C1060

November 12, 2011 by hgpu

GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration

Mian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang, Shaohua Fu, Zhe Lin

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Tags: Bioinformatics, Biology, Compression, nVidia, Package, Sorting, Tesla M2050

November 12, 2011 by hgpu

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

Glenn A. Elliott, James H. Anderson

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 470, Package, Performance

November 11, 2011 by hgpu

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

Adelino R. Ferreira da Silva

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Tags: Bayesian, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8400 M GS, Package

November 10, 2011 by hgpu

A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

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Tags: Compilers, Computer science, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Sorting, Thesis

November 10, 2011 by hgpu

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

Matthias Christen, Olaf Schenk, Helmar Burkhart

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Tags: Code generation, Computer science, CUDA, nVidia, Optimization, Package, Tesla C2050

November 8, 2011 by hgpu

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

G. Debreczeni, B. Somhegyi

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5970, Filtering, Gravitation, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Tesla C2050

November 7, 2011 by hgpu

Fast TV-L1 Optical Flow for Interactivity

Emmanuel d'Angelo, Johan Paratte, Gilles Puy, Pierre Vandergheynst

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 320 M, OpenCL, Optical flow, Optimization, Package

November 7, 2011 by hgpu

GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

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Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 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

B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Efficient GPU Implementation for Particle in Cell Algorithm

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

A CPU-GPU Hybrid Runtime for the Aeminium Language

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

Fast TV-L1 Optical Flow for Interactivity

GPU-accelerated Convex Multi-phase Image Segmentation

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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