high performance computing on graphics processing units: hgpu.org

Programming

Speeding up the small progress measures algorithm for parity games using the GPU

P.J.A. Bootsma

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GT 555 M, nVidia GeForce GTX 660 Ti, Thesis

December 6, 2013 by hgpu

Similarity Search in Metric Spaces on Parallel multi-core and multi-GPU Platforms

Ricardo Javier Barrientos Rojel

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Search strategies, Tesla C1060, Tesla M2070, Thesis

December 6, 2013 by hgpu

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

Janche Sang, Che-Rung Lee, Vernon Rego, Chung-Ta King

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2070, Thrust

December 6, 2013 by hgpu

Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs

Pawel Topa, Pawel Mlocek

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Tags: Algorithms, Cellular automata, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GTX 295, nVidia Quadro FX 4800, nVidia Quadro NVS 140 M

December 6, 2013 by hgpu

Computing OpenSURF on OpenCL and General Purpose GPU

Wanglong Yan, Xiaohua Shi, Xin Yan, Lina Wang

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Computer vision, Memory model, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 660, OpenCL

December 4, 2013 by hgpu

Exploiting Heterogeneous Systems: Keccak on OpenCL

Allan Mariano de Souza, Fabio Dacencio Pereira, Edward David Moreno

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, OpenCL, Security

December 4, 2013 by hgpu

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Mudassar Majeed, Usman Dastgeer, Christoph Kessler

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Tags: Algorithms, Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla M2090

December 4, 2013 by hgpu

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

Youngsung Soh, Hadi Ashraf, Yongsuk Hae, Intaek Kim

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti

December 4, 2013 by hgpu

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

Michael Wu, Guohui Wang, Bei Yin, Christoph Studer, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Wireless baseband architecture

December 4, 2013 by hgpu

Fingerprint grid enhancement on GPU

Raja Lehtihet, Wael El Oraiby, Mohammed Benmohammed

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 560 Ti

December 4, 2013 by hgpu

Multithreaded Transposition of Square Matrices with Common Code for Intel Xeon Processors and Intel Xeon Phi Coprocessors

Andrey Vladimirov

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Tags: Algorithms, Benchmarking, Computer science, Intel Phi, Intel Xeon Phi, Linear Algebra

December 3, 2013 by hgpu

Real-time High Resolution Fusion of Depth Maps on GPU

Dmitry Trifonov

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Tags: Algorithms, Computer science, Computer vision, Graphics, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, OpenCL

December 3, 2013 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

Speeding up the small progress measures algorithm for parity games using the GPU

Similarity Search in Metric Spaces on Parallel multi-core and multi-GPU Platforms

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs

Computing OpenSURF on OpenCL and General Purpose GPU

Exploiting Heterogeneous Systems: Keccak on OpenCL

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

Fingerprint grid enhancement on GPU

Multithreaded Transposition of Square Matrices with Common Code for Intel Xeon Processors and Intel Xeon Phi Coprocessors

Real-time High Resolution Fusion of Depth Maps on GPU

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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