high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Accelerating Scientific Computations with Mixed Precision Algorithms

Marc Baboulin, Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Julie Langou, Julien Langou, Piotr Luszczek, Stanimire Tomov

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Tags: Algorithms, Cell processor, Computer science, FPGA, Linear Algebra, Mathematical Software, Mixed precision

November 9, 2010 by hgpu

Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware

Weihang Zhu

Tags: Computer science, Evolutionary Computations, Pattern Search

November 9, 2010 by hgpu

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Garnett Wilson, Wolfgang Banzhaf

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Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Xbox 360

November 9, 2010 by hgpu

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

Weihang Zhu

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Tags: Computer science, CUDA, Differential evolution, Finance, nVidia, nVidia GeForce GTX 280, Pattern Search

November 9, 2010 by hgpu

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Software Engineering

November 9, 2010 by hgpu

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

Kimikazu Kato, Tikara Hosino

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Tags: Computer science, CUDA, Data Structures and Algorithms, Information Retrieval, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

N-Body Simulations on GPUs

Erich Elsen, V. Vishal, Mike Houston, Vijay Pande, Pat Hanrahan, Eric Darve

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Tags: ATI, ATI Radeon X1900, ATI Stream, Brook, Computational Engineering, Computer science, Molecular dynamics, N-body simulation, Stellar dynamics

November 8, 2010 by hgpu

Caracteristiques arithmetiques des processeurs graphiques

Marc Daumas, Guillaume Da Graca, David Defour

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Tags: ATI, ATI Radeon X1800, Computer science, Mathematical Software, nVidia, nVidia GeForce 7800 GTX, OpenGL

November 8, 2010 by hgpu

Multifold Acceleration of Neural Network Computations Using GPU

Alexander Guzhva, Sergey Dolenko, Igor Persiantsev

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 260

November 8, 2010 by hgpu

An extended GPU radiosity solver

Gunter Wallner

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Tags: Cg, Computer science, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL

November 8, 2010 by hgpu

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Chao-Tung Yang, Chih-Lin Huang, Cheng-Fang Lin

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla C1060, Tesla S1070

November 8, 2010 by hgpu

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

DaQi Ren, Reiji Suda

Tags: Computer science, CUDA, Energy-efficient computing, Matrix multiplication, nVidia

November 8, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating Scientific Computations with Mixed Precision Algorithms

Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

N-Body Simulations on GPUs

Caracteristiques arithmetiques des processeurs graphiques

Multifold Acceleration of Neural Network Computations Using GPU

An extended GPU radiosity solver

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

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

Most viewed papers (last 30 days)