high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications

CUDA-BLASTP: Accelerating BLASTP on CUDA-Enabled Graphics Hardware

Weiguo Liu, Bertil Schmidt, Wolfgang Muller-Wittig

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, nVidia GeForce GTX 295, Package, Sequence alignment

April 18, 2011 by hgpu

CULA: hybrid GPU accelerated linear algebra routines

John R. Humphrey, Daniel K. Price, Kyle E. Spagnoli, Aaron L. Paolini, Eric J. Kelmelis

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Tags: Computer science, CUDA, CULA, Linear Algebra, nVidia, Package, Tesla C1060

April 11, 2011 by hgpu

Exact and complete short read alignment to microbial genomes using GPU programming

Jochen Blom, Tobias Jakobi, Daniel Doppmeier, Sebastian Jaenicke, Jorn Kalinowski, Jens Stoye, Alexander Goesmann

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Tags: Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, nVidia GeForce GTX 280, Package

April 11, 2011 by hgpu

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Yongchao Liu, Bertil Schmidt, Douglas Maskell

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Tags: Bioinformatics, Biology, CUDA, MPI, Next-Generation sequencing, nVidia, OpenMP, Package, Tesla S1070

April 11, 2011 by hgpu

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

H. Courtecuisse, J. Allard

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Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Package, Physics-based simulation, Surgical simulation

April 8, 2011 by hgpu

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Dominik Grewe, Michael O'Boyle

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Tags: ATI, ATI Radeon HD 5970, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Package, Task scheduling

April 4, 2011 by hgpu

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Cryo-EM, Molecular modeling, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

GMH: A Message Passing Toolkit for GPU Clusters

Jie Chen, William Watson III, Weizhen Mao

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 285, Package

March 28, 2011 by hgpu

Parallel data mining on graphics processors

Wenbin Fang, Ka Keung Lau, Mian Lu, Xiangye Xiao, Chi Kit Lam, Philip Yang Yang, Bingsheng He, Qiong Luo, Pedro V. Sander, Ke Yang

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280, Package

March 28, 2011 by hgpu

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

S. Yamagiwa, L. Sousa

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Tags: Computer science, GPU cluster, MPI, Package

March 27, 2011 by hgpu

Introduction to GPU Programming with GLSL

R. Marroquim, A. Maximo

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Tags: ATI, Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Rendering, Tutorial

March 25, 2011 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Applications

CUDA-BLASTP: Accelerating BLASTP on CUDA-Enabled Graphics Hardware

CULA: hybrid GPU accelerated linear algebra routines

Exact and complete short read alignment to microbial genomes using GPU programming

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

GMH: A Message Passing Toolkit for GPU Clusters

Parallel data mining on graphics processors

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

Introduction to GPU Programming with GLSL

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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