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Parallel Computing Experiences with CUDA

M. Garland, S. Le Grand, J. Nickolls, J. Anderson, J. Hardwick, S. Morton, E. Phillips, Yao Zhang, V. Volkov

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Tags: Computer science, CUDA, High-level Languages, nVidia

November 4, 2010 by hgpu

Issues and challenges in compiling for graphics processors

Norm Rubin

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Tags: Computer science, High-level Languages, Presentation, Review

November 4, 2010 by hgpu

GPUCV: A Framework for Image Processing Acceleration with Graphics Processors

Jean-philippe Farrugia, Patrick Horain, Erwan Guehenneux, Yannick Alusse

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Tags: Computer science, Computer vision, GLSL, Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Package

November 4, 2010 by hgpu

GAMER with out-of-core computation

Hsi-Yu Schive, Yu-Chih Tsai, Tzihong Chiueh

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Tesla T10

November 4, 2010 by hgpu

Relational joins on graphics processors

Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander

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Tags: Algorithms, ATI, ATI CAL, ATI R600, ATI Stream, Computer science, CUDA, Join, nVidia, nVidia GeForce 8800 GTX, Sorting

November 4, 2010 by hgpu

Approximate Dynamic Programming and Neural Networks on Game Hardware

R. J. Meuth, D. C. Wunsch

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Tags: Computer science, Neural networks, Review

November 4, 2010 by hgpu

GPU processing of particle system animation

D. Gladkiy, I. Belago, N. Elykov, S. Kuzikowski

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Tags: Optoelectronics, Physics, Signal processing

November 4, 2010 by hgpu

Molecular Simulation of ab Initio Protein Folding for a Millisecond Folder NTL9(1-39)

Vincent A. Voelz, Gregory R. Bowman, Kyle Beauchamp, Vijay S. Pande

Tags: Bioinformatics, Biology, Chemistry, Molecular dynamics

November 4, 2010 by hgpu

High-Level programming of graphics hardware to increase performance of electromagnetics simulation

M. Woolsey, W. E. Hutchcraft, R. K. Gordon

Tags: Electrodynamics, Electromagnetics simulation, Finite element method, Physics

November 4, 2010 by hgpu

Artificial neural network computation on graphic process unit

Zhongwen Luo, Hongzhi Liu, Xincai Wu

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Tags: ATI, ATI Radeon 9550, Computer science, Neural networks, nVidia, nVidia GeForce 6200, nVidia GeForce 6xxx, OpenGL

November 4, 2010 by hgpu

Implementing sparse matrix-vector multiplication on throughput-oriented processors

Nathan Bell, Michael Garland

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, Package, Sparse matrix

November 4, 2010 by hgpu

CuPP – A framework for easy CUDA integration

Jens Breitbart

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

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

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Computing Experiences with CUDA

Issues and challenges in compiling for graphics processors

GPUCV: A Framework for Image Processing Acceleration with Graphics Processors

GAMER with out-of-core computation

Relational joins on graphics processors

Approximate Dynamic Programming and Neural Networks on Game Hardware

GPU processing of particle system animation

Molecular Simulation of ab Initio Protein Folding for a Millisecond Folder NTL9(1-39)

High-Level programming of graphics hardware to increase performance of electromagnetics simulation

Artificial neural network computation on graphic process unit

Implementing sparse matrix-vector multiplication on throughput-oriented processors

CuPP – A framework for easy CUDA integration

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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