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Collision detection on the GPU

Antti Valli

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, Thesis

May 20, 2013 by hgpu

Exploiting Uniform Vector Instructions for GPGPU Performance, Energy Efficiency, and Opportunistic Reliability Enhancement

Ping Xiang, Yi Yang, Mike Mantor, Norm Rubin, Lisa R. Hsu, Huiyang Zhou

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Tags: Computer science, GPGPU-sim, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

May 19, 2013 by hgpu

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Xiang Ying, Shi-Qing Xin, Ying He

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Tags: Algorithms, Computer science, CUDA, Geodesic Distances, Graphics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 470, nVidia GeForce GTX 580

May 8, 2013 by hgpu

Orchestrated Scheduling and Prefetching for GPGPUs

Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 285, Performance, Prefetch

April 27, 2013 by hgpu

Parallel GPU Architecture Simulation Framework Exploiting Work Allocation Unit Parallelism

Sangpil Lee, Won Woo Ro

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 285

April 17, 2013 by hgpu

A Discussion of Selected Vienna-Libraries for Computational Science

Karl Rupp, Florian Rudolf, Josef Weinbub

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Programming techniques, Review

April 1, 2013 by hgpu

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Boyang Gao, Emmanuel Dellandrea, Liming Chen

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Tags: Clustering, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Signal processing

March 26, 2013 by hgpu

Investigating performance variations of an optimized GPU-ported granulometry algorithm

Vincent Boulos, Vincent Fristot, Dominique Houzet, Luc Salvo, Pierre Lhuissier

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Tags: Algorithm optimization, Algorithms, CUDA, FEM, Finite element method, Image processing, Materials Science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia Quadro FX 4000

February 22, 2013 by hgpu

The Implement of Common Beam Forming Using GPU

Jing-hong Jiang, Qi-xiang Han, Hui-zhi Cai, Wei-min Hou

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Tags: CUDA, nVidia, nVidia GeForce GTX 285, Signal processing

February 12, 2013 by hgpu

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis

Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 GT, nVidia GeForce GTS 360 M, nVidia GeForce GTX 285, nVidia Quadro FX 1800

February 6, 2013 by hgpu

A Comparison of CPU and OpenCL Parallelization Methods for Correlation and Graph Layout Algorithms used in the Network Analysis of High Dimensional Data

Athanasios Theocharidis, Gibran Hemani, Michael Kargas, Tom C. Freeman

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Source codes

Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Biology, Graph layout, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, OpenGL, Package, Visualization

February 5, 2013 by hgpu

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das

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

January 31, 2013 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Collision detection on the GPU

Exploiting Uniform Vector Instructions for GPGPU Performance, Energy Efficiency, and Opportunistic Reliability Enhancement

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Orchestrated Scheduling and Prefetching for GPGPUs

Parallel GPU Architecture Simulation Framework Exploiting Work Allocation Unit Parallelism

A Discussion of Selected Vienna-Libraries for Computational Science

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Investigating performance variations of an optimized GPU-ported granulometry algorithm

The Implement of Common Beam Forming Using GPU

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis

A Comparison of CPU and OpenCL Parallelization Methods for Correlation and Graph Layout Algorithms used in the Network Analysis of High Dimensional Data

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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