high performance computing on graphics processing units: hgpu.org

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GPU Objects

Sunil Mohan Ranta, Jag Mohan Singh, P. J. Narayanan

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6600 GT, OpenGL

March 13, 2011 by hgpu

GPU for CAD

Thomas R. Kurfess, Thomas M. Tucker, Koushik Aravalli, P. M. Meghashyam

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Tags: CAD, Computer science, nVidia, nVidia Quadro FX 3000, Review, Shaders

March 13, 2011 by hgpu

Improving the Efficiency of GPU Clusters

Bill Mcmillan

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Tags: Computer science, GPU cluster, Review

March 12, 2011 by hgpu

Efficient Spatial Binning on the GPU

Christopher Oat, Joshua Barczak, Jeremy Shopf

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4870, Computer science, DirectX, Nearest neighbour, Sorting

March 12, 2011 by hgpu

GPU Octrees and Optimized Search

Daniel Madeira, Anselmo Montenegro, Esteban Clua, Thomas Lewiner

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 9600 M GT, Search

March 12, 2011 by hgpu

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Naoyuki Ichimura

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 4600

March 12, 2011 by hgpu

GEMM on a GPU

Jonathan Monette

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 5800, Poster

March 12, 2011 by hgpu

To GPU Synchronize or Not GPU Synchronize?

Wu-Chun Feng, Shucai Xiao

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques, Synchronization

March 12, 2011 by hgpu

Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU

Gallagher Pryor, Tauseef U. Rehman, Shawn Lankton, Patricio A. Vela, Allen Tannenbaum

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, Optical flow, Video tracking

March 12, 2011 by hgpu

Stereo depth with a Unified Architecture GPU

Joel Gibson, Oge Marques

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 11, 2011 by hgpu

GPU-Accelerated Text Mining

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Text mining

March 11, 2011 by hgpu

The GPU as a high performance computational resource

Tor Dokken, Trond R Hagen, Jon M Hjelmervik

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Tags: Computer science, Linear Algebra, Mathematical Software, Partial differential equations, PDEs, Review

March 11, 2011 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

GPU Objects

GPU for CAD

Improving the Efficiency of GPU Clusters

Efficient Spatial Binning on the GPU

GPU Octrees and Optimized Search

GPU Computing with Orientation Maps for Extracting Local Invariant Features

GEMM on a GPU

To GPU Synchronize or Not GPU Synchronize?

Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU

Stereo depth with a Unified Architecture GPU

GPU-Accelerated Text Mining

The GPU as a high performance computational resource

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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