high performance computing on graphics processing units: hgpu.org

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Exploring the multiple-GPU design space

Dana Schaa, David Kaeli

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 by hgpu

A Practical Quicksort Algorithm for Graphics Processors

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Sorting

November 6, 2010 by hgpu

Fast scale invariant feature detection and matching on programmable graphics hardware

Nico Cornelis, Luc Van Gool

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 by hgpu

Parallel view-dependent refinement of progressive meshes

Liang Hu, Pedro V. Sander, Hugues Hoppe

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Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Triangular meshes, Visualization

November 6, 2010 by hgpu

Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA

Ogier Maitre, Laurent A. Baumes, Nicolas Lachiche, Avelino Corma, Pierre Collet

Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, Optimization

November 5, 2010 by hgpu

Efficient computation of sum-products on GPUs through software-managed cache

Mark Silberstein,Assaf Schuster,Dan Geiger,Anjul Patney,John D. Owens

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

November 5, 2010 by hgpu

The Scalable Heterogeneous Computing (SHOC) benchmark suite

Anthony Danalis,Gabriel Marin,Collin McCurdy,Jeremy S. Meredith,Philip C. Roth,Kyle Spafford,Vinod Tipparaju,Jeffrey S. Vetter

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Source codes

Tags: ATI, ATI Radeon HD 5770, ATI Radeon HD 5870, ATI Stream, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 9400 M, OpenCL, Package, Performance, Tesla C1060

November 5, 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

Parallel search on video cards

Tim Kaldewey, Jeff Hagen, Andrea Di Blas, Eric Sedlar

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

November 5, 2010 by hgpu

Faster matrix-vector multiplication on GeForce 8800GTX

N. Fujimoto

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX

November 5, 2010 by hgpu

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

S. Adams, J. Payne, R. Boppana

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Tags: Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, OpenGL

November 5, 2010 by hgpu

Benchmarking GPUs to tune dense linear algebra

Vasily Volkov, James W. Demmel

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280

November 4, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Exploring the multiple-GPU design space

A Practical Quicksort Algorithm for Graphics Processors

Fast scale invariant feature detection and matching on programmable graphics hardware

Parallel view-dependent refinement of progressive meshes

Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA

Efficient computation of sum-products on GPUs through software-managed cache

The Scalable Heterogeneous Computing (SHOC) benchmark suite

A translation system for enabling data mining applications on GPUs

Parallel search on video cards

Faster matrix-vector multiplication on GeForce 8800GTX

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

Benchmarking GPUs to tune dense linear algebra

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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