high performance computing on graphics processing units: hgpu.org

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Two-fluid compressible simulations on GPU cluster

Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 320 M, OpenCL

March 15, 2014 by hgpu

Making the case of GPUs in courses on computational physics

Knut Skogstrand Gjerden

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Tags: Computational Physics, CUBLAS, CUDA, Education, FFT, Mathematical Software, nVidia, nVidia GeForce GTX 320 M, Physics, Tesla C2050

May 17, 2013 by hgpu

Numerical resolution of conservation laws with OpenCL

Anais Crestetto, Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, Mathematics, Maxwell's equations, Numerical simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 320 M, nVidia GeForce GTX 470, OpenCL, Particle-in-cell methods

December 2, 2012 by hgpu

OpenCL Numerical Simulations of Two-Fluid Compressible Flows With a 2D Random Choice Method

Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 320 M, OpenCL

December 1, 2012 by hgpu

Real-Time Hair Simulation and Rendering with OpenCL and OpenGL

Mathieu Le Muzic

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 320 M, OpenCL, OpenGL, Rendering

November 18, 2012 by hgpu

Algorithms acceleration of pattern-matching in multi-core architectures

David Rodenas Pico

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GT 430, nVidia GeForce GTX 320 M, Thesis

December 16, 2011 by hgpu

Fast TV-L1 Optical Flow for Interactivity

Emmanuel d'Angelo, Johan Paratte, Gilles Puy, Pierre Vandergheynst

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 320 M, OpenCL, Optical flow, Optimization, Package

November 7, 2011 by hgpu

A portable implementation of the radix sort algorithm in OpenCL

Philippe Helluy

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Tags: Algorithms, ATI, ATI Radeon HD 5850, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 470, OpenCL, Package, Particle-in-cell methods, Physics, Plasma physics, Sorting

September 24, 2011 by hgpu

Obsidian: GPU Kernel Programming in Haskell (thesis)

Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 480, Package, Thesis

March 13, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Two-fluid compressible simulations on GPU cluster

Making the case of GPUs in courses on computational physics

Numerical resolution of conservation laws with OpenCL

OpenCL Numerical Simulations of Two-Fluid Compressible Flows With a 2D Random Choice Method

Real-Time Hair Simulation and Rendering with OpenCL and OpenGL

Algorithms acceleration of pattern-matching in multi-core architectures

Fast TV-L1 Optical Flow for Interactivity

A portable implementation of the radix sort algorithm in OpenCL

Obsidian: GPU Kernel Programming in Haskell (thesis)

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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