high performance computing on graphics processing units: hgpu.org

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Exploiting Unexploited Computing Resources for Computational Logics

Alessandro Dal Palu, Agostino Dovier, Andrea Formisano, Enrico Pontelli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 560, SAT, Tesla C2075

June 14, 2012 by hgpu

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

Federico Raimondo, Juan Kamienkowski, Mariano Sigman, Diego Fernandez Slezak

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Source codes

Tags: Algorithms, Biology, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, Neuroscience, nVidia, nVidia GeForce GTX 560, Package, Tesla C2070

June 11, 2012 by hgpu

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Enrico Gobbetti, Jose Antonio Iglesias Guitian, Fabio Marton

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Tags: 3D Graphics and Realism, Algorithms, Compression, Computer science, Filtering, Image generation, nVidia, nVidia GeForce GTX 560, OpenGL, Rendering

May 29, 2012 by hgpu

Molecular Distance Geometry Optimization Using Geometric Build-up and Evolutionary Techniques on GPU

Levente Fabry-Asztalos, Istvan Lorentz, Razvan Andonie

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Tags: Chemistry, Molecular modeling, nVidia, nVidia GeForce GTX 560, OpenCL, Optimization

May 23, 2012 by hgpu

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Jean-Patrick Roccia, Mathias Paulin, Christophe Coustet

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 560, Raytracing

April 27, 2012 by hgpu

Design of high-performance parallelized gene predictors in MATLAB

Sylvain Robert Rivard, Jean-Gabriel Mailloux, Rachid Beguenane, Hung Tien Bui,

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Tags: Algorithms, Bioinformatics, Biology, CUDA, FFT, Genetics, nVidia, nVidia GeForce GTX 560

April 13, 2012 by hgpu

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

Mehrzad Samadi, Amir Hormati, Janghaeng Lee, Scott Mahlke

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Optimization, Programming techniques

March 8, 2012 by hgpu

Computing the Mertens function on a GPU

Eugene Kuznetsov

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Tags: Mathematics, Number Theory, nVidia, nVidia GeForce GTX 560

August 2, 2011 by hgpu

nVidia GeForce GTX 560

Tags: nVidia, nVidia GeForce 5xx, nVidia GeForce GTX 560

May 19, 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

Exploiting Unexploited Computing Resources for Computational Logics

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Molecular Distance Geometry Optimization Using Geometric Build-up and Evolutionary Techniques on GPU

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Design of high-performance parallelized gene predictors in MATLAB

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

Computing the Mertens function on a GPU

nVidia GeForce GTX 560

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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