high performance computing on graphics processing units: hgpu.org

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Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

Stephan C. Kramer, Johannes Hagemann, D. Russell Luke

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Tags: Biology, CUDA, Mathematics, Neurons and Cognition, nVidia, Optimization, Tesla C2070

February 5, 2013 by hgpu

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 2013 by hgpu

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Trong-Tuan Vu, Bilel Derbel, Nouredine Melab

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Performance, Tesla T10

January 14, 2013 by hgpu

Graphic-Processing-Units Based Adaptive Parameter Estimation of a Visual Psychophysical Model

Hairong Gu

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050, Thesis

January 4, 2013 by hgpu

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

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Tags: ATI, ATI Radeon HD 6870, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 540 M, OpenCL, Optimization

December 23, 2012 by hgpu

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Adam Dziekonski, Piotr Sypek, Adam Lamecki, Michal Mrozowski

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Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, Optimization, Tesla C2075

December 16, 2012 by hgpu

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Amik Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

December 16, 2012 by hgpu

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Dinesh Majeti, Aditya Prakash, S. Balasubramanian, PK Baruah

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Tags: Clustering, CUDA, CULA, Image processing, nVidia, Optimization, Tesla S2050

December 5, 2012 by hgpu

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Brice Videau, Vania Marangozova-Martin, Luigi Genovese, Thierry Deutsch

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, OpenCL, Optimization, Tesla C2070, Wavelet

November 27, 2012 by hgpu

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

Cy P Chan

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Tags: Algorithms, Code generation, Computer science, nVidia, nVidia GeForce GTX 280, Optimization, Thesis

November 23, 2012 by hgpu

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 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

Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Graphic-Processing-Units Based Adaptive Parameter Estimation of a Visual Psychophysical Model

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

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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