high performance computing on graphics processing units: hgpu.org

hgpu.org » Programming techniques

Accelerating CUDA Graph Algorithms at Maximum Warp

Sungpack Hong, Sang Kyun Kim, Tayo Oguntebi, Kunle Olukotun

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 275, Package, Performance, Programming techniques

February 27, 2011 by hgpu

Believe it or Not! Multi-core CPUs Can Match GPU Performance for FLOP-intensive Application!

Rajesh Bordawekar, Uday Bondhugula, Ravi Rao

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance, Programming techniques

February 26, 2011 by hgpu

Concurrent GPU Programming

Lesley Northam

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 M GTX, Programming techniques, Review

February 26, 2011 by hgpu

Pyramid Methods in GPU-Based Image Processing

Magnus Strengert, Martin Kraus, and Thomas Ertl

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Programming techniques

February 25, 2011 by hgpu

Program Optimization Study on a 128-Core GPU

Shane Ryoo, Christopher I. Rodrigues, Sam S. Stone, Sara S. Baghsorkhi, Sain-Zee Ueng, and Wen-mei W. Hwu

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Programming techniques

February 20, 2011 by hgpu

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs

John A. Stratton, Vinod Grover, Jaydeep Marathe, Bastiaan Aarts, Mike Murphy, Ziang Hu, Wen-mei W. Hwu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, Programming techniques

February 20, 2011 by hgpu

Accelerating Cosmological Data Analysis with Graphics Processors

Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner

Tags: Astrophysics, Cosmology, CUDA, GPU cluster, MPI, nVidia, Physics, Programming techniques

February 15, 2011 by hgpu

Partitioning streaming parallelism for multi-cores: a machine learning based approach

Zheng Wang, Michael F. P. O'Boyle

Tags: Computer science, Optimization, Programming techniques

February 8, 2011 by hgpu

XMT-GPU: A PRAM Architecture for Graphics Computation

Thomas M. DuBois, Bryant Lee, Yi Wang, Marc Olano, Uzi Vishkin

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon X700 Pro, Computer science, nVidia, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GTX, OpenGL, Programming techniques

February 6, 2011 by hgpu

Evaluating multi-core platforms for HPC data-intensive kernels

Alexander S. van Amesfoort, Ana Lucia Varbanescu, Henk J. Sips, Rob V. van Nieuwpoort

View

Download (PDF)

Tags: Algorithms, Cell processor, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Programming techniques, Tesla C1060

February 6, 2011 by hgpu

Cortical architectures on a GPGPU

Andrew Nere, Mikko Lipasti

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Programming techniques, Tesla C1060

February 2, 2011 by hgpu

OpenGL(R) ES 2.0 Programming Guide

Aaftab Munshi, Dan Ginsburg, Dave Shreiner

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

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

* * *

high performance computing on graphics processing units: hgpu.org

Accelerating CUDA Graph Algorithms at Maximum Warp

Believe it or Not! Multi-core CPUs Can Match GPU Performance for FLOP-intensive Application!

Concurrent GPU Programming

Pyramid Methods in GPU-Based Image Processing

Program Optimization Study on a 128-Core GPU

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs

Accelerating Cosmological Data Analysis with Graphics Processors

Partitioning streaming parallelism for multi-cores: a machine learning based approach

XMT-GPU: A PRAM Architecture for Graphics Computation

Evaluating multi-core platforms for HPC data-intensive kernels

Cortical architectures on a GPGPU

OpenGL(R) ES 2.0 Programming Guide

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)