high performance computing on graphics processing units: hgpu.org

Programming

Fast Feature Selection in a GPU Cluster Using the Delta Test

Alberto Guillen, M. Isabel Garcia Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Hector Pomares, Ignacio Rojas

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, GPU cluster, Nearest neighbour, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450

February 25, 2014 by hgpu

A GaBP-GPU Algorithm of Solving Large-Scale Sparse Linear Systems

Hanyuan Zheng, Anping Song, Zhixiang Liu, Lei Xu, Wu Zhang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C1060

February 25, 2014 by hgpu

Real Time Face Detection on GPU Using OpenCL

Narmada Naik, Rathna G.N.

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 7670 M, Computer science, Computer vision, OpenCL

February 23, 2014 by hgpu

Accelerating Content-Based Image Retrieval via GPU-adaptive Index Structure

Zhu Lei

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 460

February 23, 2014 by hgpu

Multi-Elimination ILU Preconditioners on GPUs

Dimitar Lukarski, Hartwig Anzt, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40

February 23, 2014 by hgpu

Parallel Spectral Graph Partitioning on CUDA

Orhan Firat, Alptekin Temizel

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, Machine learning, nVidia, Tesla C2070

February 23, 2014 by hgpu

X-ray CT on the GPU

Ravikiran Tadepalli

View

Download (PDF)

Tags: Algorithms, CUDA, Medicine, nVidia, Tesla C1060, Thesis, Tomography

February 19, 2014 by hgpu

Large-Scale Geospatial Processing on Multi-Core and Many-Core Processors: Evaluations on CPUs, GPUs and MICs

Jianting Zhang, Simin You

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, nVidia Quadro 6000, Tesla C2050

February 19, 2014 by hgpu

Using of GPUs for cluster analysis of large data by K-means method

Natalya Litvinenko

View

Download (PDF)

Tags: Algorithms, Cluster analysis, Computer science, CUDA, nVidia, nVidia GeForce GTX 660

February 19, 2014 by hgpu

Parallel algorithms for problems of cluster analysis with very large amount of data

Natalya Litvinenko

View

Download (PDF)

Tags: Algorithms, Cluster analysis, Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 660

February 19, 2014 by hgpu

Fast Hamiltonian Monte Carlo Using GPU Computing

Andrew L. Beam, Sujit K. Ghosh, Jon Doyle

View

Download (PDF)

Source codes

Tags: Algorithms, Bayesian, CUDA, CULA, Monte Carlo simulation, nVidia, Package, Python, Statistics, Tesla K20

February 19, 2014 by hgpu

The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing

Lars Struyf, Stijn De Beugher, Dong Hoon Van Uytsel, Frans Kanters, Toon Goedeme

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 6870, Computer vision, FPGA, Image processing, OpenCL

February 17, 2014 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

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Fast Feature Selection in a GPU Cluster Using the Delta Test

A GaBP-GPU Algorithm of Solving Large-Scale Sparse Linear Systems

Real Time Face Detection on GPU Using OpenCL

Accelerating Content-Based Image Retrieval via GPU-adaptive Index Structure

Multi-Elimination ILU Preconditioners on GPUs

Parallel Spectral Graph Partitioning on CUDA

X-ray CT on the GPU

Large-Scale Geospatial Processing on Multi-Core and Many-Core Processors: Evaluations on CPUs, GPUs and MICs

Using of GPUs for cluster analysis of large data by K-means method

Parallel algorithms for problems of cluster analysis with very large amount of data

Fast Hamiltonian Monte Carlo Using GPU Computing

The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing

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

Most viewed papers (last 30 days)