high performance computing on graphics processing units: hgpu.org

Programming

Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing

John A. Stratton, Christopher Rodrigues, I-Jui Sung, Nady Obeid, Li-Wen Chang, Nasser Anssari, Geng Daniel Liu, Wen-mei W. Hwu

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Molecular simulation, MPI, nVidia, nVidia GeForce GTX 480, Optimization, Package

April 25, 2012 by hgpu

WebCL for Hardware-Accelerated Web Applications

Won Jeon, Tasneem Brutch, Simon Gibbs

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Tags: Algorithms, Computer science, Java, nVidia, nVidia GeForce GT 330 M, OpenCL, Package

April 25, 2012 by hgpu

Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations

Takayuki Muranushi

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Tags: Algorithms, Astrophysics, CUDA, Differential equations, Instrumentation and Methods for Astrophysics, nVidia, Package, Partial differential equations, PDEs, Tesla M2050

April 25, 2012 by hgpu

Parallel Surface Reconstruction for Particle-Based Fluids

Gizem Akinci, Markus Ihmsen, Nadir Akinci, Matthias Teschner

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 6000

April 23, 2012 by hgpu

Memory Bandwidth Efficient Two-Dimensional Fast Fourier Transform Algorithm and Implementation for Large Problem Sizes

Berkin Akin, Peter A. Milder, Franz Franchetti, James C. Hoe

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, FFT, FPGA, nVidia, nVidia GeForce GTX 480

April 23, 2012 by hgpu

Computing Performance Benchmarks among CPU, GPU, and FPGA

Christopher Robert Cullinan, Timothy Richard Frattesi, Christopher Michael Wyant

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Tags: Algorithms, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 460, Performance

April 21, 2012 by hgpu

Fast Universal Background Model (UBM) Training on GPUs using Compute Unified Device Architecture (CUDA)

M. Azhari, C. Ergun

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 570

April 21, 2012 by hgpu

An On-Demand Fast Parallel Pseudo Random Number Generator with Applications

Dip Sankar Banerjee, Aman Kumar Bahl, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, List ranking, Monte Carlo simulation, nVidia, Pseudo-random number generators, Tesla C1060

April 21, 2012 by hgpu

Fast Collision Culling in Large-Scale Environments Using GPU Mapping Function

Quentin Avril, Valerie Gouranton, Bruno Arnaldi

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 3600 M

April 21, 2012 by hgpu

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Philippe Tillet, Karl Rupp, Siegfried Selberherr

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Tags: Algorithms, Code generation, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL, Package

April 21, 2012 by hgpu

Priority-Based Task Management in a GPGPU Megakernel

Bernhard Kerbl

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Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Raytracing, Rendering, Sorting

April 21, 2012 by hgpu

Multicore Processing for Classification and Clustering Algorithms

V. Vaitheeshwaran, Kapil Kumar Nagwanshi, T. V. Rao

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Clustering, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, OpenCL

April 21, 2012 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

Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing

WebCL for Hardware-Accelerated Web Applications

Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations

Parallel Surface Reconstruction for Particle-Based Fluids

Memory Bandwidth Efficient Two-Dimensional Fast Fourier Transform Algorithm and Implementation for Large Problem Sizes

Computing Performance Benchmarks among CPU, GPU, and FPGA

Fast Universal Background Model (UBM) Training on GPUs using Compute Unified Device Architecture (CUDA)

Fast Collision Culling in Large-Scale Environments Using GPU Mapping Function

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Priority-Based Task Management in a GPGPU Megakernel

Multicore Processing for Classification and Clustering Algorithms

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

Most viewed papers (last 30 days)