high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenMP

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Marek Blazewicz, Ian Hinder, David M. Koppelman, Steven R. Brandt, Milosz Ciznicki, Michal Kierzynka, Frank Loffler, Erik Schnetter, Jian Tao

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Tags: Code generation, Computational Physics, CUDA, Differential equations, Finite difference, MPI, nVidia, OpenMP, Partial differential equations, PDEs, Physics, Tesla M2050

July 25, 2013 by hgpu

Comparative study of parallel programming models for multicore computing

Akhtar Ali

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Tags: Benchmarking, Computer science, DSP, Heterogeneous systems, nVidia, OpenCL, OpenMP, Tesla M2050, Thesis

July 7, 2013 by hgpu

Intel Xeon Phi Coprocessor High-Performance Programming

Jim Jeffers, James Jeffers, James Reinders

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Source codes

Tags: Book, Computer science, Intel, Intel Phi, OpenMP, Package, Review

June 30, 2013 by hgpu

Best Practice Guide – Intel Xeon Phi

Michaela Barth, Mikko Byckling, Nevena Ilieva, Sami Saarinen, Michael Schliephake, Volker Weinberg

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Tags: Computer science, Intel, Intel Phi, OpenMP, Review

June 30, 2013 by hgpu

Parallelization of specialized fluid flow simulator based on lattice Boltzmann method on a multi GPU system

Tijana Dukic, Marko Topalovic, Nenad Filipovic

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Tags: CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, OpenMP, Tesla C1060

June 25, 2013 by hgpu

Space Charge Dominated Envelope Dynamics Using GPUs

N. Kulabukhova

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Tags: High Energy Physics - Experiment, nVidia, OpenMP, Physics, Tesla S2050

June 17, 2013 by hgpu

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Altaf Ahmad Huqqani, Erich Schikuta, Sicen Ye, Peng Chen

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, OpenMP, Tesla C1060

June 16, 2013 by hgpu

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Kyung Sang Kim, Young Don Son, Zang Hee Cho, Jong Beom Ra, and Jong Chul Ye

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Tags: CUDA, Image processing, Monte Carlo simulation, nVidia, OpenMP, PET, Tesla C1060

June 14, 2013 by hgpu

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Maida Arnautovic, Maida Curic, Emina Dolamic, Novica Nosovic

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 420 M, OpenMP, Optimization, Path problems

May 30, 2013 by hgpu

Performance Portability in Accelerated Parallel Kernels

John A. Stratton, Hee-Seok Kim, Thoman B. Jablin, Wen-Mei W. Hwu

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Tags: Computer science, Heterogeneous systems, OpenCL, OpenMP, Performance

May 27, 2013 by hgpu

Improving Synchronization and Data Access in Parallel Programming Models

Ettore Speziale

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Tags: Computer science, CUDA, MapReduce, MPI, nVidia, OpenCL, OpenMP, Thesis

May 13, 2013 by hgpu

OpenMP performance analysis for many-core platforms with non-uniform memory access

Pablo Gonzalez de Aledo Marugan, Javier Gonzalez Bayon, Pablo Sanchez Espeso, Juan Casal Martin

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Tags: Computer science, Heterogeneous systems, OpenCL, OpenMP, Performance

May 2, 2013 by hgpu

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

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

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high performance computing on graphics processing units: hgpu.org

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Comparative study of parallel programming models for multicore computing

Intel Xeon Phi Coprocessor High-Performance Programming

Best Practice Guide – Intel Xeon Phi

Parallelization of specialized fluid flow simulator based on lattice Boltzmann method on a multi GPU system

Space Charge Dominated Envelope Dynamics Using GPUs

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Performance Portability in Accelerated Parallel Kernels

Improving Synchronization and Data Access in Parallel Programming Models

OpenMP performance analysis for many-core platforms with non-uniform memory access

Recent source codes

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

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

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