high performance computing on graphics processing units: hgpu.org

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Fast Estimation of Gaussian Mixture Model Parameters on GPU using CUDA

Lukas Machlica, Jan Vanek, Zbynek Zajıc

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 280, Package, Statistics and Probability

October 2, 2014 by Vanekyj

Harnessing GPU Computing in System-Level Software

Weibin Sun

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system, Thesis

September 30, 2014 by hgpu

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

Dinghua Li, Chi-Man Liu, Ruibang Luo, Kunihiko Sadakane, Tak-Wah Lam

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Tags: Biology, CUDA, Genomics, nVidia, Package, Tesla K40

September 29, 2014 by hgpu

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

Romain Dolbeau

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GT 620, Package, Security

September 28, 2014 by hgpu

An open source finite-difference time-domain solver for room acoustics using graphics processing units

Jukka Saarelma, Lauri Savioja

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 690, OpenGL, Package, Visualization

September 25, 2014 by hgpu

GPU-based NSEC3 Hash Breaking

Matthaus Wander, Lorenz Schwittmann, Christopher Boelmann, Torben Weis

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Tags: ATI, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GTX 690, OpenCL, Package, Security

September 19, 2014 by hgpu

The GPUVerify Method: a Tutorial Overview

Alastair F. Donaldson

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Tags: Computer science, CUDA, nVidia, OpenCL, Overview, Package, Programming techniques, Tutorial

September 16, 2014 by hgpu

Convex Clustering: An Attractive Alternative to Hierarchical Clustering

Gary K. Chen, Eric Chi, John Ranola, Kenneth Lange

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Tags: Algorithms, Bioinformatics, Biology, Cluster analysis, Clustering, Genomics, Hierarchical clustering, nVidia, OpenCL, Package, Tesla C2050

September 9, 2014 by hgpu

A CUDA Back-End for the Equelle Compiler

Havard Heitlo Holm

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Tags: Compilers, Computer science, CUDA, Differential equations, Finite volume method, Heterogeneous systems, nVidia, nVidia Quadro NVS 5200 M, Package, Partial differential equations, PDEs, Tesla K40, Thesis

September 8, 2014 by hgpu

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

F. D. Witherden, B. C. Vermeire, P. E. Vincent

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Tags: AMD FirePro W9100, ATI, CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Package, Tesla K40

September 2, 2014 by hgpu

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Sergiy Gogolenko, Zhaojun Bai, Richard Scalettar

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060

August 23, 2014 by hgpu

Caffe: Convolutional Architecture for Fast Feature Embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

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Tags: Cloud, Computer science, CUDA, Neural networks, nVidia, Package, Pattern recognition, Python

August 23, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Fast Estimation of Gaussian Mixture Model Parameters on GPU using CUDA

Harnessing GPU Computing in System-Level Software

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

An open source finite-difference time-domain solver for room acoustics using graphics processing units

GPU-based NSEC3 Hash Breaking

The GPUVerify Method: a Tutorial Overview

Convex Clustering: An Attractive Alternative to Hierarchical Clustering

A CUDA Back-End for the Equelle Compiler

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

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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