high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Computing Performance Benchmarks among CPU, GPU, and FPGA

Christopher Robert Cullinan, Timothy Richard Frattesi, Christopher Michael Wyant

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Tags: Algorithms, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 460, Performance

April 21, 2012 by hgpu

Fast Universal Background Model (UBM) Training on GPUs using Compute Unified Device Architecture (CUDA)

M. Azhari, C. Ergun

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 570

April 21, 2012 by hgpu

An On-Demand Fast Parallel Pseudo Random Number Generator with Applications

Dip Sankar Banerjee, Aman Kumar Bahl, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, List ranking, Monte Carlo simulation, nVidia, Pseudo-random number generators, Tesla C1060

April 21, 2012 by hgpu

Fast Collision Culling in Large-Scale Environments Using GPU Mapping Function

Quentin Avril, Valerie Gouranton, Bruno Arnaldi

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 3600 M

April 21, 2012 by hgpu

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Philippe Tillet, Karl Rupp, Siegfried Selberherr

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Source codes

Tags: Algorithms, Code generation, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL, Package

April 21, 2012 by hgpu

Priority-Based Task Management in a GPGPU Megakernel

Bernhard Kerbl

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Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Raytracing, Rendering, Sorting

April 21, 2012 by hgpu

Multicore Processing for Classification and Clustering Algorithms

V. Vaitheeshwaran, Kapil Kumar Nagwanshi, T. V. Rao

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Clustering, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, OpenCL

April 21, 2012 by hgpu

Genetic Algorithm Modeling with GPU Parallel Computing Technology

S. Cavuoti, M. Garofalo, M. Brescia, A. Pescape, G. Longo, G. Ventre

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Data mining, Genetic programming, Machine learning, nVidia, nVidia GeForce GT 540 M

April 21, 2012 by hgpu

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

Franz Xaver Bayerl

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Tags: Code generation, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 560 Ti, Performance, Thesis

April 19, 2012 by hgpu

Algorithm Construction for GPGPU

Mattias Svanstrom, Simon Hossjer

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Tags: Algorithms, ATI, ATI Radeon HD 5650, Computer science, Matrix multiplication, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 560 Ti, OpenCL, Sorting

April 19, 2012 by hgpu

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Georg Kunz, Daniel Schemmel, James Gross, Klaus Wehrle

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 470

April 19, 2012 by hgpu

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 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

Applications

Computing Performance Benchmarks among CPU, GPU, and FPGA

Fast Universal Background Model (UBM) Training on GPUs using Compute Unified Device Architecture (CUDA)

Fast Collision Culling in Large-Scale Environments Using GPU Mapping Function

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Priority-Based Task Management in a GPGPU Megakernel

Multicore Processing for Classification and Clustering Algorithms

Genetic Algorithm Modeling with GPU Parallel Computing Technology

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

Algorithm Construction for GPGPU

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

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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