high performance computing on graphics processing units: hgpu.org

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Towards a Performance-Portable FFT Library for Heterogeneous Computing

Carlo del Mundo, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, FFT, nVidia, OpenCL, Signal processing, Spectral methods, Tesla C2075, Tesla K20

February 17, 2014 by hgpu

Application of the Characteristic Basis Function Method using CUDA

Juan Ignacio Perez, Eliseo Garcia, Jose A. de Frutos, Felipe Catedra

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Tags: Computer science, CUDA, CULA, nVidia, Tesla C2075

February 16, 2014 by hgpu

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Abu Asaduzzaman, Anindya Maiti, Chok M. Yip

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2075

January 9, 2014 by hgpu

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

E. Garcia, T. Hausotte

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Tags: Algorithms, Bayesian, CUDA, Filtering, nVidia, Package, Particle filtering, Physics, Probability, Tesla C2075

January 6, 2014 by hgpu

Achieving TeraCUPS on Longest Common Subsequence Problem using GPGPUs

Adnan Ozsoy, Arun Chauhan, Martin Swany

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, Sequence alignment, Sequence matching, Tesla C2075, Tesla M2090

January 2, 2014 by hgpu

Optimizing LZSS Compression on GPGPUs

Adnan Ozsoy, Martin Swany, Arun Chauhan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching, Tesla C2075

December 29, 2013 by hgpu

Enabling High Performance Computing in Cloud Infrastructure using Virtualized GPUs

Andrew J. Younge, John Paul Walters, Steve Crago, Geoffrey C. Fox

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Tags: Cloud, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Virtualization

December 23, 2013 by hgpu

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Dario Tamascelli, Francesco S. Dambrosio, Riccardo Conte, Michele Ceotto

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Physics, Tesla C2075, Tesla K20

December 18, 2013 by hgpu

Learning Random Forests on the GPU

Yisheng Liao, Alex Rubinsteyn, Russell Power, Jinyang Li

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX Titan, Package, Tesla C2075

December 11, 2013 by hgpu

GPU-Accelerated Crack Path Computation Based on a Phase Field Approach for Brittle Fracture

Alexander Schluter, Adrian Willenbucher, Charlotte Kuhn

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Tags: Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2075

December 8, 2013 by hgpu

Integrating Multi-GPU Execution in an OpenACC Compiler

Toshiya Komoda, Shinobu Miwa, Hiroshi Nakamura, Naoya Maruyama

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Tags: Compilers, Computer science, CUDA, MPI, nVidia, OpenACC, Tesla C2075, Tesla M2050

November 18, 2013 by hgpu

A finite volume approach for the simulation of nonlinear dissipative acoustic wave propagation

Roberto Velasco-Segura, Pablo L. Rendon

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Tags: CUDA, Finite volume method, Fluid dynamics, nVidia, Physics, Tesla C2075

November 14, 2013 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

Towards a Performance-Portable FFT Library for Heterogeneous Computing

Application of the Characteristic Basis Function Method using CUDA

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

Achieving TeraCUPS on Longest Common Subsequence Problem using GPGPUs

Optimizing LZSS Compression on GPGPUs

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Learning Random Forests on the GPU

GPU-Accelerated Crack Path Computation Based on a Phase Field Approach for Brittle Fracture

Integrating Multi-GPU Execution in an OpenACC Compiler

A finite volume approach for the simulation of nonlinear dissipative acoustic wave propagation

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)