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Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

A comparison of CPU and GPU performance for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and Sine Gordon Equations

B. Cloutier, B.K. Muite, P. Rigge

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Tags: Algorithms, CUDA, FFT, Fortran, Navier-Stokes equations, nVidia, OpenACC, OpenMP, Physics, Spectral methods, Tesla M2070

June 13, 2012 by hgpu

Range query processing in a multi-GPU environment

Ricardo J. Barrientos, Jose I. Gomez, Christian Tenllado, Manuel Prieto Matias, Mauricio Marin

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Tags: Algorithms, Biology, Computational biology, Computer science, CUDA, Databases, GPU cluster, nVidia, OpenMP, Tesla C1060

June 11, 2012 by hgpu

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

Federico Raimondo, Juan Kamienkowski, Mariano Sigman, Diego Fernandez Slezak

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Tags: Algorithms, Biology, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, Neuroscience, nVidia, nVidia GeForce GTX 560, Package, Tesla C2070

June 11, 2012 by hgpu

Scaling Fast Multipole Methods up to 4000 GPUs

Rio Yokota, Lorena Barba, Tetsu Narumi, Kenji Yasuoka

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, MPI, N-body simulation, nVidia, Tesla M2050

June 9, 2012 by hgpu

Fast Morphological Image Processing Open-Source Extensions for GPU processing with CUDA

Matthew J. Thurley, Victor Danell

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Package, Signal processing

June 9, 2012 by hgpu

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, Fredo Durand

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Tesla C2070

June 8, 2012 by hgpu

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Naohito Nakasato, Go Ogiya, Yohei Miki, Masao Mori, Ken'ichi Nomoto

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 6530, ATI Radeon HD 7970, Computational Physics, Heterogeneous systems, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenCL, Particle simulation, PC cluster, Tesla M2090

June 8, 2012 by hgpu

Parallel random variates generator for GPUs based on normal numbers

Gleb Beliakov, Michael Johnstone, Doug Creighton, Tim Wilkin

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Probability, Pseudo-random number generators, Tesla C2050

June 8, 2012 by hgpu

Relativistic Hydrodynamics on Graphic Cards

Jochen Gerhard, Volker Lindenstruth, Marcus Bleicher

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Cluster computing, High Energy Physics - Phenomenology, High Energy Physics - Theory, Molecular dynamics, OpenCL, Performance, Physics, QCD

June 6, 2012 by hgpu

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Algorithms, Astrophysics, Cluster computing, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla S1070

June 6, 2012 by hgpu

Pipelining the Fast Multipole Method over a Runtime System

Emmanuel Agullo, Beranger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Takahashi Toru

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Tags: Algorithms, Computer science, Fast multipole method, Heterogeneous systems, nVidia, Physics, Tesla M2070, Tesla M2090

June 4, 2012 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

A comparison of CPU and GPU performance for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and Sine Gordon Equations

Range query processing in a multi-GPU environment

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

Scaling Fast Multipole Methods up to 4000 GPUs

Fast Morphological Image Processing Open-Source Extensions for GPU processing with CUDA

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Parallel random variates generator for GPUs based on normal numbers

Relativistic Hydrodynamics on Graphic Cards

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Pipelining the Fast Multipole Method over a Runtime System

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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