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H. 264 Parallel Optimization on Graphics Processors

Elias Baaklini, Hassan Sbeity, Smail Niar

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Compression, Computational Complexity, H.264/AVC, Image processing, OpenCL

April 27, 2013 by hgpu

Using High Performance Computing for Optimizing Credit Risk Calculation

Mark Joselli, Jose Ricardo Silva Junior, Marcelo Zamith, Esteban Clua, Eduardo Soluri

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Tags: Computational finance, CUDA, Finance, nVidia, nVidia GeForce GTX 580

April 26, 2013 by hgpu

A method for speeding up beam-tracing simulation using thread-level parallelization

Marjan Sikora, Ivo Mateljan

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Tags: Acoustics, Algorithms, CAD, Computer science

April 26, 2013 by hgpu

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Congying Han, Tingting Feng, Guoping He, Tiande Guo

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Tags: Algorithms, Computer science, CUDA, nVidia

April 26, 2013 by hgpu

Design and Performance Analysis of Parallel Processing of SRTP Packets

Jan Wozniak

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Tags: Computer science, Intel, OpenCL, Security

April 26, 2013 by hgpu

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Anuj Varghese Prakash

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Tags: Biochemistry, Chemistry, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Thesis

April 26, 2013 by hgpu

Numerical Modeling of Atmospheric Vortices

Sudeep Dasari, David Murphy, Colin Redman

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Tags: CUDA, Differential equations, Earth and Space Sciences, nVidia, ODEs, Ordinary differential equations

April 25, 2013 by hgpu

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Boris Galvan

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Tags: CUDA, Diffusion equation, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 590, Thesis

April 25, 2013 by hgpu

High Performance Computing with GPUs

Nikita Vakulin, Riley Shaw, Timothy Livingston

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Tags: Computer science, CUDA, Differential equations, Finite element method, nVidia, Package

April 25, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

Faster Upper Body Pose Estimation and Recognition Using CUDA

Dane L. Brown, Mehrdad Ghaziasgar, James Connan

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 580

April 25, 2013 by hgpu

Reduce, Reuse, Recycle (R^3): a Design Methodology for Sparse Matrix Vector Multiplication on Reconfigurable Platforms

Kevin Townsend, Joseph Zambreno

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla M2090, Tesla S1070

April 23, 2013 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

H. 264 Parallel Optimization on Graphics Processors

Using High Performance Computing for Optimizing Credit Risk Calculation

A method for speeding up beam-tracing simulation using thread-level parallelization

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Design and Performance Analysis of Parallel Processing of SRTP Packets

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Numerical Modeling of Atmospheric Vortices

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

High Performance Computing with GPUs

Directive-based Approach to Heterogeneous Computing

Faster Upper Body Pose Estimation and Recognition Using CUDA

Reduce, Reuse, Recycle (R^3): a Design Methodology for Sparse Matrix Vector Multiplication on Reconfigurable Platforms

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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