high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

GPU support for batch oriented workloads

Lauro B. Costa, Samer Al-Kiswany, Matei Ripeanu

Tags: Bloom filter, Computer science

October 28, 2010 by hgpu

The gputools package enables GPU computing in R

Joshua Buckner, Justin Wilson, Mark Seligman, Brian Athey, Stanley Watson, Fan Meng

View

Download (PDF)

Source codes

Tags: Computer science, CUBLAS, CUDA, nVidia, Package

October 28, 2010 by hgpu

Accelerating Large Graph Algorithms on the GPU Using CUDA

Pawan Harish, P. Narayanan

View

Download (PDF)

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GTX

October 28, 2010 by hgpu

Implementing Decision Trees and Forests on a GPU

Toby Sharp

View

Download (PDF)

Tags: Computer science, Computer vision, HLSL, nVidia, nVidia GeForce GTX 280

October 28, 2010 by hgpu

Stochastic DT-MRI Connectivity Mapping on the GPU

Tim McGraw, Mariappan Nadar

View

Download (PDF)

Tags: Computer science, Diffusion tensor, GLSL, Magnetic resonance imaging, nVidia, nVidia GeForce 8800 GTX, OpenGL, Stochastic tractography

October 28, 2010 by hgpu

GPU virtualization on VMware’s hosted I/O architecture

Micah Dowty, Jeremy Sugerman

View

Download (PDF)

Tags: Computer science, Virtualization

October 28, 2010 by hgpu

GPU accelerated image aligned splatting

N. Neophytou, K. Mueller

View

Download (PDF)

Tags: Computer science, Image aligned splatting, nVidia, nVidia Quadro FX 3400, Rendering

October 28, 2010 by hgpu

Fuzzy ART Neural Network Parallel Computing on the GPU

Mario Martinez-Zarzuela, Diaz, Diez, Miriam Rodriguez

View

Download (PDF)

Tags: Computer science, Neural networks, nVidia, nVidia GeForce 7800 GT

October 28, 2010 by hgpu

High performance cellular level agent-based simulation with FLAME for the GPU

Paul Richmond, Dawn Walker, Simon Coakley, Daniela Romano

View

Download (PDF)

Tags: Bioinformatics, Cellular modelling, Computational modelling, Computer science, CUDA, nVidia, Package

October 28, 2010 by hgpu

CrystalGPU: Transparent and Efficient Utilization of GPU Power

Abdullah Gharaibeh, Samer Al-Kiswany, Matei Ripeanu

View

Download (PDF)

Source codes

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

October 28, 2010 by hgpu

An integrated GPU power and performance model

Sunpyo Hong, Hyesoon Kim

View

Download (PDF)

Tags: Analytical model, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 280, Performance

October 28, 2010 by hgpu

GPU as a General Purpose Computing Resource

Qihang Huang, Zhiyi Huang, Paul Werstein, Martin Purvis

Tags: Computer science, CUDA, nVidia, Performance, Programming techniques

October 27, 2010 by hgpu

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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

GPU support for batch oriented workloads

The gputools package enables GPU computing in R

Accelerating Large Graph Algorithms on the GPU Using CUDA

Implementing Decision Trees and Forests on a GPU

Stochastic DT-MRI Connectivity Mapping on the GPU

GPU virtualization on VMware’s hosted I/O architecture

GPU accelerated image aligned splatting

Fuzzy ART Neural Network Parallel Computing on the GPU

High performance cellular level agent-based simulation with FLAME for the GPU

CrystalGPU: Transparent and Efficient Utilization of GPU Power

An integrated GPU power and performance model

GPU as a General Purpose Computing Resource

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

Most viewed papers (last 30 days)