high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Interactive machinability analysis of free-form surfaces using multiple-view image space techniques on the GPU

Mikola Lysenko, Roshan M. DSouza

Tags: Algorithms, CAD, Machinability

November 5, 2010 by hgpu

An experimental approach to performance measurement of heterogeneous parallel applications using CUDA

Allen D. Malony,Scott Biersdorff,Wyatt Spear,Shangkar Mayanglambam

Tags: Computer science, CUDA, nVidia, Performance

November 5, 2010 by hgpu

Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

E. Z. Zhang, Y. Jiang, G. Ziyu, X. Shen

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060

November 5, 2010 by hgpu

GPU-Accelerated Nearest Neighbor Search for 3D Registration

Deyuan Qiu,Stefan May,Andreas Nuchter

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Tags: Computer science, Computer vision, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295

November 5, 2010 by hgpu

Debugging GPU stream programs through automatic dataflow recording and visualization

Qiming Hou,Kun Zhou,Baining Guo

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

November 5, 2010 by hgpu

GPU for Parallel On-Board Hyperspectral Image Processing

J. Setoain, M. Prieto, C. Tenllado, F. Tirado

Tags: Algorithms, Image processing

November 5, 2010 by hgpu

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liyanage, Lin Cao, Jacob Staples, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenCL, RV870

November 5, 2010 by hgpu

Accelerating advanced MRI reconstructions on GPUs

Samuel S. Stone, Justin P. Haldar, Stephanie C. Tsao, Wen-Mei W. Hwu, Zhi-Pei Liang, Bradley P. Sutton

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5600

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

Iterative induced dipoles computation for molecular mechanics on GPUs

Frederico Pratas,Ricardo A. Mata,Leonel Sousa

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Tags: Chemistry, Computational chemistry, Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285

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

Designing efficient sorting algorithms for manycore GPUs

Nadathur Satish,Mark Harris,Michael Garland

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra, Sorting

November 5, 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

Programming

Interactive machinability analysis of free-form surfaces using multiple-view image space techniques on the GPU

An experimental approach to performance measurement of heterogeneous parallel applications using CUDA

Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

GPU-Accelerated Nearest Neighbor Search for 3D Registration

Debugging GPU stream programs through automatic dataflow recording and visualization

GPU for Parallel On-Board Hyperspectral Image Processing

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Accelerating advanced MRI reconstructions on GPUs

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

Iterative induced dipoles computation for molecular mechanics on GPUs

The Scalable Heterogeneous Computing (SHOC) benchmark suite

Designing efficient sorting algorithms for manycore GPUs

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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