high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Enes Bajrovic, Siegfried Benkner, Jiri Dokulil, Martin Sandrieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Tesla C2050

November 27, 2013 by hgpu

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong

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Tags: Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Performance

November 27, 2013 by hgpu

Regression Modelling of Power Consumption for Heterogeneous Processors

Tahir Diop

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, nVidia, OpenCL, Tesla M2090, Thesis

November 27, 2013 by hgpu

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Guillaume Chapuis, Hristo Djidjev, Rumen Andonov, Sunil Thulasidasan, Dominique Lavenier

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, GPU cluster, nVidia, Path problems, Tesla C2090

November 26, 2013 by hgpu

Enabling OpenCL on a Configurable, VLIW Chip-Multiprocessor

Samuel J. Parker, Vassilios A. Chouliaras

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Tags: CMP, Computer science, OpenCL

November 26, 2013 by hgpu

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Xingxing Zhu, Yangdong Deng

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Rasterization, Raytracing, Rendering

November 26, 2013 by hgpu

Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 2013 by hgpu

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Matthew Anker

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Tags: Algorithms, Computer science, CUDA, Finance, nVidia, Pseudo-random number generators, Tesla C2050, Thesis

November 25, 2013 by hgpu

Fast approximate k-nearest neighbours search using GPGPU

Niko Lukac, Borut Zalik

Tags: Computer science, CUDA, Hashing, Nearest neighbour, nVidia, Tesla C2050

November 24, 2013 by hgpu

A parallel search tree algorithm for vertex cover on graphical processing units

Rashad Karim Kabbara

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 560, Search, Thesis

November 24, 2013 by hgpu

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Teng Li, Vikram K. Narayana, Tarek El-Ghazawi

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

November 24, 2013 by hgpu

LoGV: Low-overhead GPGPU Virtualization

Mathias Gottschlag, Marius Hillenbrand, Jens Kehne, Jan Stoess, Frank Bellosa

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Virtualization

November 23, 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

Applications

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Regression Modelling of Power Consumption for Heterogeneous Processors

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Enabling OpenCL on a Configurable, VLIW Chip-Multiprocessor

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Exploring GPGPU Acceleration of Process-Oriented Simulations

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Fast approximate k-nearest neighbours search using GPGPU

A parallel search tree algorithm for vertex cover on graphical processing units

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

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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