high performance computing on graphics processing units: hgpu.org

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uBench: Performance Impact of CUDA Block Geometry

Yuri Torres, Arturo Gonzalez, Diego R. Llanos

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Performance

January 3, 2013 by hgpu

Fast Retinal Vessel Analysis

Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert

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Tags: Algorithms, CUDA, Image processing, Mathematics, Medicine, nVidia, nVidia GeForce GTX 680, Radon transform

December 29, 2012 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

Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects

Wencheng Wang, Guofu Xie

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering

December 18, 2012 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

Vectorized Higher Order Finite Difference Kernels

Gerhard Zumbusch

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Tags: Algorithms, ATI, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, Finite difference, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20

December 10, 2012 by hgpu

GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling

Chang Cai, Haiqing Chen, Ze Deng, Dan Chen, Samee U. Khan, Ke Zeng, Minxiao Wu

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Tags: CUDA, Earth and Space Sciences, Finite difference, nVidia, nVidia GeForce GTX 680, Seismic modeling, Seismology

December 8, 2012 by hgpu

Hybrid Sample-based Surface Rendering

F. Reichl, M.G. Chajdas, K. Burger, R. Westermann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Rasterization, Rendering

December 3, 2012 by hgpu

Massively parallel Monte Carlo for many-particle simulations on GPUs

Joshua A. Anderson, Eric Jankowski, Thomas L. Grubb, Michael Engel, Sharon C. Glotzer

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Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Particle simulation, Physics

November 8, 2012 by hgpu

Real-Time Use of GPUs in NA62 Experiment

Gianmaria Collazuol, Vincenzo Innocente, Felice Pantaleo, Marco Sozzi

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Tags: CUDA, Data acquisition, nVidia, nVidia GeForce GTX 680, Pattern recognition, Physics, Tesla C2050

October 14, 2012 by hgpu

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Ion Lungu, Dana-Mihaela Petrosanu, Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Optimization, Performance

October 14, 2012 by hgpu

Lattice QCD based on OpenCL

Matthias Bach, Volker Lindenstruth, Owe Philipsen, Christopher Pinke

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Physics, QCD

September 27, 2012 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

uBench: Performance Impact of CUDA Block Geometry

Fast Retinal Vessel Analysis

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Vectorized Higher Order Finite Difference Kernels

GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling

Hybrid Sample-based Surface Rendering

Massively parallel Monte Carlo for many-particle simulations on GPUs

Real-Time Use of GPUs in NA62 Experiment

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Lattice QCD based on OpenCL

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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