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Stellar-mass black holes in star clusters: implications for gravitational wave radiation

Sambaran Banerjee, Holger Baumgardt, Pavel Kroupa

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Tags: Astrophysics, Black hole physics, Galaxy Astrophysics, Gravitational waves, High Energy Astrophysical Phenomena, N-body simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 285, Solar and Stellar Astrophysics, Stellar dynamics

November 13, 2010 by hgpu

GPU accelerated simulations of bluff body flows using vortex particle methods

Diego Rossinelli, Michael Bergdorf, Georges-Henri Cottet, Petros Koumoutsakos

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce 8000 GTS, nVidia GeForce 9800 GX2, nVidia Quadro FX 5600, OpenGL

November 7, 2010 by hgpu

SAPPORO: A way to turn your graphics cards into a GRAPE-6

Evghenii Gaburov, Stefan Harfst, Simon P. Zwart

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 9800 GX2, Package, Physics

November 6, 2010 by hgpu

A translation system for enabling data mining applications on GPUs

Wenjing Ma, Gagan Agrawal

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2

November 5, 2010 by hgpu

A GPU accelerated storage system

Abdullah Gharaibeh, Samer A. Kiswany, Sathish Gopalakrishnan, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, Performance, Storage system

November 1, 2010 by hgpu

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Lukasz Ligowski, Witold Rudnicki

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

CrystalGPU: Transparent and Efficient Utilization of GPU Power

Abdullah Gharaibeh, Samer Al-Kiswany, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package, Performance

October 28, 2010 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

Stellar-mass black holes in star clusters: implications for gravitational wave radiation

GPU accelerated simulations of bluff body flows using vortex particle methods

SAPPORO: A way to turn your graphics cards into a GRAPE-6

A translation system for enabling data mining applications on GPUs

A GPU accelerated storage system

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

CrystalGPU: Transparent and Efficient Utilization of GPU Power

Recent source codes

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

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