high performance computing on graphics processing units: hgpu.org

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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

Mastering Software Variant Explosion for GPU Accelerators

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

September 8, 2012 by hgpu

Power and Performance Analysis of GPU-Accelerated Systems

Yuki Abe, Hiroshi Sasaki, Martin Peres, Koji Inoue, Kazuaki Murakami, Shinpei Kato

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 480, Package

September 6, 2012 by hgpu

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Ahmed Shamsul Arefin, Carlos Riveros, Regina Berretta, Pablo Moscato

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Tags: Bioinformatics, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Package, Pattern recognition, Tesla C2050

September 5, 2012 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Applications

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

Mastering Software Variant Explosion for GPU Accelerators

Power and Performance Analysis of GPU-Accelerated Systems

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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