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Direct Self-Consistent Field Computations on GPU Clusters

Guochun Shi, V. Kindratenko, I. Ufimtsev, T. Martinez

Tags: Chemistry, CUDA, GPU cluster, Molecular modeling, nVidia

February 15, 2011 by hgpu

Generation of Kernels for Calculating Electron Repulsion Integrals of High Angular Momentum Functions on GPUs – Preliminary Results

Alexey V. Titov, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martinez

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Tags: Chemistry, CUDA, Molecular modeling, nVidia

February 15, 2011 by hgpu

Accelerating Quantum Chromodynamics Calculations with GPUs

Guochun Shi, Steven Gottlieb, Aaron Torok, Volodymyr Kindratenko

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Source codes

Tags: Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Package, Physics, QCD

February 15, 2011 by hgpu

PRNG Random Numbers on GPU

W. B. Langdon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Pseudo-random number generators, RapidMind

February 15, 2011 by hgpu

A Fast High Quality Pseudo Random Number Generator for Graphics Processing Units

W. B. Langdon

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Pseudo-random number generators, RapidMind

February 15, 2011 by hgpu

A CUDA SIMT Interpreter for Genetic Programming

W. B. Langdon

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Source codes

Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

February 15, 2011 by hgpu

Evolving gzip matches Kernel from an nVidia CUDA Template

W. B. Langdon and M. Harman

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

February 15, 2011 by hgpu

Graphics Processing Units and Genetic Programming: An overview

W. B. Langdon

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Tags: Bioinformatics, Computer science, CUDA, Genetic programming, nVidia, Review

February 15, 2011 by hgpu

Numerical Simulation of the Complex Ginzburg-Landau Equation on GPUs with CUDA

K.A. Hawick and D.P. Playne

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Tags: CUDA, Finite difference, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

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

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

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

* * *

high performance computing on graphics processing units: hgpu.org

Direct Self-Consistent Field Computations on GPU Clusters

Generation of Kernels for Calculating Electron Repulsion Integrals of High Angular Momentum Functions on GPUs – Preliminary Results

Accelerating Quantum Chromodynamics Calculations with GPUs

PRNG Random Numbers on GPU

A Fast High Quality Pseudo Random Number Generator for Graphics Processing Units

A CUDA SIMT Interpreter for Genetic Programming

Evolving gzip matches Kernel from an nVidia CUDA Template

Graphics Processing Units and Genetic Programming: An overview

Numerical Simulation of the Complex Ginzburg-Landau Equation on GPUs with CUDA

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

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

Mixing Multi-Core CPUs and GPUs for Scientific Simulation Software

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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