high performance computing on graphics processing units: hgpu.org

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NMF-mGPU: non-negative matrix factorization on multi-GPU systems

Edgardo Mejia-Roa, Daniel Tabas-Madrid, Javier Setoain, Carlos Garcia, Francisco Tirado, Alberto Pascual-Montano

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Factorization, GPU cluster, MPI, Nonnegative matrix factorization, nVidia, Package, Tesla C1060

February 19, 2015 by hgpu

NUPAR: A Benchmark Suite for Modern GPU Architectures

Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Package, Tesla C2070, Tesla K40

February 13, 2015 by hgpu

Quadratic Pseudo-Boolean Optimization for Scene Analysis using CUDA

Andreas Bauer

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 450 Ti, Thesis

February 13, 2015 by hgpu

Large-Scale Deep Learning on the YFCC100M Dataset

Karl Ni, Roger Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric Wang

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, Neural networks, nVidia, Tesla M2050

February 13, 2015 by hgpu

Primal Dual Affine Scaling on GPUs

Nithish Divakar

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Tags: Computer science, CUDA, Numerical Analysis, nVidia, Tesla S1070

February 13, 2015 by hgpu

GPU-accelerated HMM for Speech Recognition

Leiming Yu, Yash Ukidave, David Kaeli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Speech recognition

February 10, 2015 by hgpu

Analysis and Modeling of the Timing Behavior of GPU Architectures

Petros Voudouris

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Thesis

February 10, 2015 by hgpu

Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)

Michel Steuwer, Christian Fensch, Christophe Dubach

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Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Programming Languages

February 10, 2015 by hgpu

CAVE-CL: An OpenCL version of the package for detection and quantitative analysis of internal cavities in a system of overlapping balls: application to proteins

Jan Busa Jr., Jan Busa, Shura Hayryan, Chin-Kun Hu, Ming-Chya Wu

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Tags: Algorithms, Biology, Computer physics, Fortran, nVidia, nVidia GeForce GTX 470, OpenCL, Physics, Tesla C1060

February 10, 2015 by hgpu

Speech Recognition on Modern Graphic Processing Units

Leiming Yu, John Magrath, Ajey Pandey, Matthew Sears, David Kaeli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Speech recognition

February 9, 2015 by hgpu

Fast Subgraph Matching on Large Graphs using Graphics Processors

Ha-Nguyen Tran, Jung-jae Kim, Bingsheng He

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C2050

February 9, 2015 by hgpu

Sparse Matrix-Vector Multiplication on GPU

Arash Ashari

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, Machine learning, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Sparse matrix, Tesla K10, Thesis

February 9, 2015 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

NMF-mGPU: non-negative matrix factorization on multi-GPU systems

NUPAR: A Benchmark Suite for Modern GPU Architectures

Quadratic Pseudo-Boolean Optimization for Scene Analysis using CUDA

Large-Scale Deep Learning on the YFCC100M Dataset

Primal Dual Affine Scaling on GPUs

GPU-accelerated HMM for Speech Recognition

Analysis and Modeling of the Timing Behavior of GPU Architectures

Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)

CAVE-CL: An OpenCL version of the package for detection and quantitative analysis of internal cavities in a system of overlapping balls: application to proteins

Speech Recognition on Modern Graphic Processing Units

Fast Subgraph Matching on Large Graphs using Graphics Processors

Sparse Matrix-Vector Multiplication on GPU

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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