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A Framework for Automated Generation of Specialized Function Variants

Nicholas Chaimov

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Tags: Cloud, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Optimization, Tesla C2070, Tesla S1070, Thesis

November 6, 2012 by hgpu

All-Pairs Shortest Path Algorithms Using CUDA

Jeremy Mark Kemp

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 470, Path problems, Thesis

November 6, 2012 by hgpu

Design and Development of an Efficient H. 264 Video Encoder for CPU/GPU using OpenCL

Shaikh Mohd. Laeeq, Gangadhar N. D., Brian Gee Chacko

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Tags: Compression, H.264/AVC, Image processing, OpenCL, Video encoding

November 6, 2012 by hgpu

High-precision Monte Carlo study of the three-dimensional XY model on GPU

Ti-Yen Lan, Yun-Da Hsieh, Ying-Jer Kao

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Tags: Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla M2090

November 6, 2012 by hgpu

CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

Shane Cook

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Tags: Book, Computer science, CUDA, nVidia, Tutorial

November 5, 2012 by hgpu

A survey of GPU-based medical image computing techniques

Lin Shi, Wen Liu, Heye Zhang, Yongming Xie, Defeng Wang

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Tags: Image processing, Image registration, Medicine, Review, Visualization

November 5, 2012 by hgpu

Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures

Claus Braun, Stefan Holst, Hans-Joachim Wunderlich, Juan Manuel Castillo, Joachim Gross

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Tags: CUDA, Hybrid computing, Molecular simulation, nVidia, Physics, Tesla, Thermodynamics

November 5, 2012 by hgpu

Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering

Alexandre Ancel, Jean-Michel Dischler, Catherine Mongenet

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Tags: Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 295, OpenMP, Rendering, Tesla C2050, Visualization

November 5, 2012 by hgpu

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, Brian Vinter

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Source codes

Tags: Computer science, OpenCL, Optimization, Package, Programming Languages, Python

November 5, 2012 by hgpu

Kite: Braided Parallelism for Heterogeneous Systems

J. Garrett Morris, Benedict R. Gaster, Lee Howes

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Tags: Compilers, Computer science, Heterogeneous systems, OpenCL, Programming techniques

November 5, 2012 by hgpu

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

Austen C. Duffy, Dana P. Hammond, Eric J. Nielsen

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480

November 1, 2012 by hgpu

Quantum.Ligand.Dock: protein-ligand docking with quantum entanglement refinement on a GPU system

Alexander A. Kantardjiev

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Tags: Algorithms, Bioinformatics, Biology, OpenCL, Visualization

November 1, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

All-Pairs Shortest Path Algorithms Using CUDA

Design and Development of an Efficient H. 264 Video Encoder for CPU/GPU using OpenCL

High-precision Monte Carlo study of the three-dimensional XY model on GPU

CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

A survey of GPU-based medical image computing techniques

Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures

Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Kite: Braided Parallelism for Heterogeneous Systems

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

Quantum.Ligand.Dock: protein-ligand docking with quantum entanglement refinement on a GPU system

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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