high performance computing on graphics processing units: hgpu.org

Programming

A polyphase filter for many-core architectures

Karel Adamek, Jan Novotny, Wes Armour

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Tags: Algorithms, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 780 Ti, nVidia GeForce GTX 980, nVidia GeForce GTX Titan X, Signal processing, Tesla K40, Tesla K80, Tesla M2090

November 12, 2015 by hgpu

Comparison of parallel sorting algorithms

Darko Bozidar, Tomaz Dobravec

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Sorting

November 12, 2015 by hgpu

Evaluating 3-D Stencil codes on Intel Xeon Phi: Limitations and Trade-offs

Mario Hernandez, Juan M. Cebrian, Jose M. Cecilia, Jose M. Garcia

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Tags: Algorithms, Computer science, Differential equations, Intel Xeon Phi, OpenMP, Partial differential equations, PDEs, Wave equation

November 11, 2015 by hgpu

High Performance Adaptive Image Processing on Multi-scale Hybrid Architectures

Fangbin Liu

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Tags: Algorithms, CUDA, Distributed computing, Heterogeneous systems, Image processing, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Thesis

November 10, 2015 by hgpu

High Level Synthesis and Evaluation of the Secure Hash Standard for FPGAs

Ian Spencer Janik

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Tags: Algorithms, Computer science, FPGA, OpenCL, Security, Thesis

November 8, 2015 by hgpu

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Joseph L. Greathouse, Mayank Daga

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Tags: Algorithms, AMD FirePro W9100, ATI, Computer science, Linear Algebra, OpenCL, Sparse matrix

November 4, 2015 by hgpu

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Mayank Daga, Joseph L. Greathouse

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Tags: Algorithms, AMD FirePro W9100, APU, ATI, Computer science, Linear Algebra, OpenCL, Package, Sparse matrix

November 3, 2015 by hgpu

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

Ayaz ul Hassan Khan, Mayez Al-Mouhamed, Allam Fatayer, Anas Almousa, Abdulrahman Baqais, Mohammed Assayony

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 7000, Performance

October 29, 2015 by hgpu

GPU Ray-Traced Collision Detection for Cloth Simulation

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

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Tags: 3D Graphics and Realism, Algorithms, AMD FirePro W9100, ATI, Collision detection, Computer science, OpenCL, Raytracing

October 29, 2015 by hgpu

Pairwise Sequence Alignment with Gaps with GPU

Thomas C. Carroll, Jude-Thaddeus Ojiaku, Prudence W.H. Wong

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 650, OpenCL, Sequence alignment

October 27, 2015 by hgpu

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Aaron Q Li

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Computer science, GPU cluster, Machine learning, NLP, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 25, 2015 by hgpu

Join Algorithms on GPUs: A Revisit After Seven Years

Ran Rui, Hao Li, Yi-Cheng Tu

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

October 25, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A polyphase filter for many-core architectures

Comparison of parallel sorting algorithms

Evaluating 3-D Stencil codes on Intel Xeon Phi: Limitations and Trade-offs

High Performance Adaptive Image Processing on Multi-scale Hybrid Architectures

High Level Synthesis and Evaluation of the Secure Hash Standard for FPGAs

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

GPU Ray-Traced Collision Detection for Cloth Simulation

Pairwise Sequence Alignment with Gaps with GPU

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Join Algorithms on GPUs: A Revisit After Seven Years

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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