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CUTE solutions for two-point correlation functions from large cosmological datasets

David Alonso

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro NVS 4200 M, Package, Tesla C2070

October 8, 2012 by hgpu

Accelerated protein structure comparison using TM-score-GPU

Ling-Hong Hung, Ram Samudrala

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Tags: ATI, ATI Radeon HD 5870, Bioinformatics, Biology, Clustering, OpenCL, Package

October 5, 2012 by hgpu

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Dmitry Mikushin, Nicolas Likhogrud

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Tags: Computer science, CUDA, nVidia, OpenCL, Package, Portability, Tesla C2050

October 3, 2012 by hgpu

Charged particles constrained to a curved surface

Thomas Muller, Jorg Frauendiener

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Tags: CUDA, Electrostatics, nVidia, OpenGL, Package, Physics

September 20, 2012 by hgpu

Simulating spiking neural networks on GPU

Romain Brett

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580, Package, Python, Review

September 19, 2012 by hgpu

Beauty And The Beast: Exploiting GPUs In Haskell

Alex Cole, Alistair McEwan, Geoffrey Mainland

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Tags: Computer science, CUDA, Haskell, nVidia, nVidia GeForce GTX 460, Package

September 19, 2012 by hgpu

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

Parallelize L-BFGS-B on the GPU

Yun Fei, Wenping Wang, Bin Wang

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Tags: Algorithms, Computer science, CUDA, Nonlinear optimization, nVidia, nVidia GeForce GTX 580, Package, Tessellation, Voronoi diagram

September 14, 2012 by hgpu

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

Ezequiel E. Ferrero, Federico Roma, Sebastian Bustingorry, Pablo M. Gleiser

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Tags: Condensed matter, CUDA, Monte Carlo simulation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

September 12, 2012 by hgpu

A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package

September 11, 2012 by hgpu

GPU accelerated QTL detection

G. Chapuis, O. Filangi, J.M. Elsen, D. Lavenier, P. Le Roy

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, Package, Tesla C2050

September 11, 2012 by hgpu

CuNeuQuant: A CUDA Implementation of the NeuQuant Image Quantization Algorithm

David Bottisti, Liuva Mendez, Damian Dechev

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Tags: Algorithms, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 9800 GTX, Package

September 10, 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

CUTE solutions for two-point correlation functions from large cosmological datasets

Accelerated protein structure comparison using TM-score-GPU

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Charged particles constrained to a curved surface

Simulating spiking neural networks on GPU

Beauty And The Beast: Exploiting GPUs In Haskell

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Parallelize L-BFGS-B on the GPU

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

A First Step Towards GPU-assisted Query Optimization

GPU accelerated QTL detection

CuNeuQuant: A CUDA Implementation of the NeuQuant Image Quantization Algorithm

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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