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Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Xiao-Long Wu, Nady Obeid, Wen-Mei Hwu

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization

January 24, 2011 by hgpu

Multi-GPU Implementation for Iterative MR Image Reconstruction with Field Correction

Y. Zhuo, X-L. Wu, J. P. Haldar, W-M. W. Hwu, Z-P. Liang, and B. P. Sutton

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Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, Tesla S1070

January 24, 2011 by hgpu

Accelerating iterative field-compensated MR image reconstruction on GPUs

Yue Zhuo, Xiao-Long Wu, Justin P. Haldar, Wen-mei Hwu, Zhi-pei Liang, Bradley P. Sutton

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Tags: Conjugate gradient solver, CUDA, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Data Layout Transformation for Structured-Grid Codes on GPU

I-Jui Sung, Wen-Mei Hwu

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Efficient Parallel Scan Algorithms for GPUs

Shubhabrata Sengupta, Mark Harris, Michael Garland

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package

January 24, 2011 by hgpu

Efficient Sparse Matrix-Vector Multiplication on CUDA

Nathan Bell and Michael Garland

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Parallel Genetic Algorithms on Programmable Graphics Hardware

Qizhi Yu, Chongcheng Chen and Zhigeng Pan

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Tags: Algorithms, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 GT

January 23, 2011 by hgpu

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Tien-Tsin Wong and Man Leung Wong

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming

January 23, 2011 by hgpu

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Man-Leung Wong, Tien-Tsin Wong

Tags: Algorithms, Computer science, Genetic programming

January 23, 2011 by hgpu

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Zhongwen Luo, Hongzhi Liu

Tags: Algorithms, Computer science, Genetic programming, SAT

January 23, 2011 by hgpu

Fast Genetic Programming and Artificial Developmental Systems on GPUs

Simon Harding and Wolfgang Banzhaf

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 7300 GO, Shaders

January 23, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Multi-GPU Implementation for Iterative MR Image Reconstruction with Field Correction

Accelerating iterative field-compensated MR image reconstruction on GPUs

Data Layout Transformation for Structured-Grid Codes on GPU

Program Optimization Strategies for Data-Parallel Many-Core Processors

Efficient Parallel Scan Algorithms for GPUs

Efficient Sparse Matrix-Vector Multiplication on CUDA

Parallel Genetic Algorithms on Programmable Graphics Hardware

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Fast Genetic Programming and Artificial Developmental Systems on GPUs

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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