high performance computing on graphics processing units: hgpu.org

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Parallel GPU algorithms for alternate-triangular finite difference schemes

V.O. Bohaienko

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Tags: Algorithms, Computer science, Diffusion equation, Finite difference, nVidia, OpenCL, OpenMPI, Tesla M2075

October 24, 2013 by hgpu

SOCL: An OpenCL Implementation with Automatic Multi-Device Adaptation Support

Sylvain Henry, Denis Barthou, Alexandre Denis, Raymond Namyst, Marie-Christine Counilh

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Tags: ATI, ATI Radeon HD 7900, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Tesla M2075

August 24, 2013 by hgpu

Molecular Dynamics Simulation of Multi-Scale Flows on GPUs

S. Mulla, S. Ivekovic, J.M. Reese

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, OpenCL, Tesla M2075

August 12, 2013 by hgpu

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

Adam L. Preuss

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Tags: Algorithms, Fluid dynamics, Laplace and Poisson equation, nVidia, OpenCL, OpenGL, Poisson equation, Tesla M2075, Thesis

August 9, 2013 by hgpu

Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

Takao Tsuchiya, Osamu Yamashita

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, GPU cluster, nVidia, OpenMPI, Rendering, Tesla M2075, Wave equation

August 2, 2013 by hgpu

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Hybrid computing, Numerical simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Phase transition, Physics, Tesla M2075, Tesla M2090

June 19, 2013 by hgpu

Job Parallelism using Graphical Processing Unit individual Multi-Processors and Highly Localised Memory

D. P. Playne, K. A. Hawick

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Tesla M2075

May 29, 2013 by hgpu

Accelerating cellular automata simulations using AVX and CUDA

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Cellular automata, Computational Physics, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, Tesla M2075

August 14, 2012 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

Parallel GPU algorithms for alternate-triangular finite difference schemes

SOCL: An OpenCL Implementation with Automatic Multi-Device Adaptation Support

Molecular Dynamics Simulation of Multi-Scale Flows on GPUs

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

Job Parallelism using Graphical Processing Unit individual Multi-Processors and Highly Localised Memory

Accelerating cellular automata simulations using AVX and 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

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