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Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Astrophysics, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, Physics, Tesla M2050

January 8, 2012 by hgpu

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Cristobal A. Navarro, Nancy Hitschfeld-Kahler, Eliana Scheihing

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenGL, Triangular meshes

January 8, 2012 by hgpu

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, Physics

January 8, 2012 by hgpu

Massively Parallel Sequential Monte Carlo for Bayesian Inference

John Geweke, Garland Durham

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Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

January 8, 2012 by hgpu

Some Graph Algorithms And Related Primitives For The GPU

Jyothish Soman

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060, Thesis

January 8, 2012 by hgpu

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

Will W. Martin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, KD-tree, nVidia, Performance, Raytracing

January 8, 2012 by hgpu

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

Liu Li, Liu Li, Yang Guangwen

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, Sparse matrix, Tesla C1060

January 8, 2012 by hgpu

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Alex Biryukov and Johann Grossschadl

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Tags: AES, Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 8, 2012 by hgpu

Report on the Feasibility of Implementing PIC Codes on a GPU

Joshua Payne

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Source codes

Tags: CUDA, nVidia, nVidia GeForce GTX 470, Package, Physics, Plasma physics

January 7, 2012 by hgpu

Fat versus Thin Threading Approach on GPUs: Application to Stochastic Simulation of Chemical Reactions

Guido Klingbeil, Radek Erban, Mike Giles, Philip K. Maini

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce GTX 260, Stochastic simulation

January 7, 2012 by hgpu

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

Sungpack Hong, Tayo Oguntebi, Kunle Olukotun

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 275, Tesla C2050

January 7, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Massively Parallel Sequential Monte Carlo for Bayesian Inference

Some Graph Algorithms And Related Primitives For The GPU

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Report on the Feasibility of Implementing PIC Codes on a GPU

Fat versus Thin Threading Approach on GPUs: Application to Stochastic Simulation of Chemical Reactions

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

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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