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Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

Daniel P. Campbell, Daniel A. Cook

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Tags: CUDA, Image reconstruction, nVidia, Physics, Tesla S1070

February 16, 2011 by hgpu

An experimental study on performance portability of OpenCL kernels

Sean Rul, Hans Vandierendonck, Joris D'Haene and Koen De Bosschere

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Tags: ATI, ATI FirePro V8700, Cell processor, Computer science, nVidia, OpenCL, Performance, Playstation, Tesla C1060

February 16, 2011 by hgpu

Multi-agent traffic simulation with CUDA

D. Strippgen, K. Nagel

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Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280

February 16, 2011 by hgpu

MuMax: a new high-performance micromagnetic simulation tool

Arne Vansteenkiste, Ben Van de Wiele

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Tags: Computational Physics, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Package, Physics

February 16, 2011 by hgpu

Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed-Precision Multigrid

Dominik Goeddeke and Robert Strzodka

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Tags: Computer science, CUDA, Finite element method, Mixed precision, nVidia, nVidia GeForce GTX 280

February 15, 2011 by hgpu

Accelerating Cosmological Data Analysis with Graphics Processors

Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner

Tags: Astrophysics, Cosmology, CUDA, GPU cluster, MPI, nVidia, Physics, Programming techniques

February 15, 2011 by hgpu

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

February 15, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

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high performance computing on graphics processing units: hgpu.org

Applications

Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

An experimental study on performance portability of OpenCL kernels

Multi-agent traffic simulation with CUDA

MuMax: a new high-performance micromagnetic simulation tool

Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed-Precision Multigrid

Accelerating Cosmological Data Analysis with Graphics Processors

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

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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