Applications

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Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

D.P. Playne and K.A. Hawick

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Tags: Alloys, CUDA, Finite difference, nVidia, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

Visualising Interfaces in Scalar and Vector Field-Model Simulations

D.P. Playne and K.A. Hawick

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Tags: Algorithms, Computer science, Visualization

February 14, 2011 by hgpu

Modelling, simulating and visualising the Cahn-Hilliard-Cook field equation

K.A. Hawick and D.P.Playne

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Tags: Algorithms, Alloys, Finite difference, Partial differential equations, PDEs, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

K.A. Hawick and D.P. Playne

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Tags: Code generation, Compilers, Computer science, CUDA, Finite difference, nVidia, Partial differential equations, PDEs

February 14, 2011 by hgpu

Mixing Multi-Core CPUs and GPUs for Scientific Simulation Software

K.A. Hawick, A. Leist, and D.P. Playne

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Tags: Cell processor, Computer science, CUDA, Data parallelism, Finite difference, nVidia, nVidia GeForce GTX 295, OpenCL, Partial differential equations, PDEs, Playstation, Pseudo-random number generators

February 14, 2011 by hgpu

Hypercubic Storage Layout and Transforms in Arbitrary Dimensions using GPUs and CUDA

K.A. Hawick and D.P. Playne

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 295, Storage system

February 14, 2011 by hgpu

Comparing Intra- and Inter-Processor Parallelism on Multi-Core Cell Processors for Scientific Simulations

K.A. Hawick, A. Leist and D.P. Playne and M.J. Johnson

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Tags: Cell processor, Computer science, Playstation, Pseudo-random number generators

February 14, 2011 by hgpu

Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

Rio Yokota, Jaydeep P. Bardhan, Matthew G. Knepley, L. A. Barba, Tsuyoshi Hamada

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Source codes

Tags: Chemical Physics, Computational Physics, Computer science, CUDA, Electrostatics, Fast multipole method, Integral equations, nVidia, nVidia GeForce GTX 295, Package

February 14, 2011 by hgpu

An FPGA-based Torus Communication Network

Marcello Pivanti, Sebastiano Fabio Schifano, Hubert Simma

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Tags: FPGA, High Energy Physics - Lattice, Network communications, Networks, Physics

February 14, 2011 by hgpu

Speed and Portability issues for Random Number Generation on Graphical Processing Units with CUDA and other Processing Accelerators

K.A. Hawick, A. Leist, D.P. Playne, M.J. Johnson

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Tags: Cell processor, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Pseudo-random number generators

February 13, 2011 by hgpu

Cluster and Fast-Update Simulations of Regular and Rewired Lattice Ising Models Using CUDA and Graphical Processing Units

K.A. Hawick, A.Leist and D.P.Playne

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Tags: CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics

February 13, 2011 by hgpu

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

K.A. Hawick and D.P. Playne

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Tags: Code generation, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs

February 13, 2011 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

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high performance computing on graphics processing units: hgpu.org

Applications

Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

Visualising Interfaces in Scalar and Vector Field-Model Simulations

Modelling, simulating and visualising the Cahn-Hilliard-Cook field equation

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

Mixing Multi-Core CPUs and GPUs for Scientific Simulation Software

Hypercubic Storage Layout and Transforms in Arbitrary Dimensions using GPUs and CUDA

Comparing Intra- and Inter-Processor Parallelism on Multi-Core Cell Processors for Scientific Simulations

Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

An FPGA-based Torus Communication Network

Speed and Portability issues for Random Number Generation on Graphical Processing Units with CUDA and other Processing Accelerators

Cluster and Fast-Update Simulations of Regular and Rewired Lattice Ising Models Using CUDA and Graphical Processing Units

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

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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