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GPU-accelerated generation of correctly-rounded elementary functions

Pierre Fortin, Mourad Gouicem, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

June 2, 2013 by hgpu

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

Athanasios K. Grivas, Terrence Maky, Alex Yakovlev, Jonny Wrayz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560

June 2, 2013 by hgpu

On GPU Fourier Transformations

Giso Dal

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 480, Thesis

June 2, 2013 by hgpu

Geometric Optimisation using Karva for Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Particle swarm optimization

May 31, 2013 by hgpu

Efficient GPU-based Graph Cuts for Stereo Matching

Young-kyu Choi, In Kyu Park

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Stereo vision

May 29, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Analysis of Parallel Montgomery Multiplication in CUDA

Yuheng Liu

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GT 650 M, Security, Thesis

May 28, 2013 by hgpu

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Ping Guo, Liqiang Wang, Po Chen

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 27, 2013 by hgpu

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

Ian C. Atkinson, Geng Liu, Nady Obeid, Keith R. Thulborn, Wen-mei Hwu

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Tags: Algorithms, Biology, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, Tesla C2050

May 27, 2013 by hgpu

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

May 25, 2013 by hgpu

GPU Enhancement of the Trigger to Extend Physics Reach at the LHC

V. Halyo, A. Hunt, P. Jindal, P. LeGresley, P. Lujan

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Tags: Algorithms, CUDA, Hadronic Colliders, High Energy Physics - Experiment, nVidia, Physics, Tesla K20

May 23, 2013 by hgpu

Evaluating the Performance of Legacy Applications on Emerging Parallel Architectures

Simon John Pennycook

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Source codes

Tags: Algorithms, ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, MPI, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GT, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C1060, Tesla C2050, Thesis

May 21, 2013 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

GPU-accelerated generation of correctly-rounded elementary functions

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

On GPU Fourier Transformations

Geometric Optimisation using Karva for Graphical Processing Units

Efficient GPU-based Graph Cuts for Stereo Matching

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Analysis of Parallel Montgomery Multiplication in CUDA

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

GPU Enhancement of the Trigger to Extend Physics Reach at the LHC

Evaluating the Performance of Legacy Applications on Emerging Parallel Architectures

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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