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Synthetic Aperture Radar Processing with GPGPU

Maurizio di Bisceglie, Michele Di Santo, Carmela Galdi, Riccardo Lanari, Nadia Ranaldo

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Tags: CUDA, nVidia, Signal processing, Tesla C1060

January 6, 2011 by hgpu

An asymmetric distributed shared memory model for heterogeneous parallel systems

Isaac Gelado, John E. Stone, Javier Cabezas, Sanjay Patel, Nacho Navarro, Wen-mei W. Hwu

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

January 6, 2011 by hgpu

Efficient gather and scatter operations on graphics processors

Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Search, Sorting, Sparse matrix

January 6, 2011 by hgpu

Data-parallel algorithms and data structures

John Owens

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Tags: Algorithms, Computer science, Data parallelism, Presentation

January 6, 2011 by hgpu

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Ezequiel E. Ferrero, Juan Pablo De Francesco, Nicolas Wolovick, Sergio A. Cannas

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

January 6, 2011 by hgpu

Fully-3D GPU PET reconstruction

J. L. Herrai, S. Espana, J. Cal-Gonzalez, J. J. Vaquero, M. Desco, J. M. Udias

Tags: Computed tomography, CT, Image processing, Image reconstruction, Medicine

January 6, 2011 by hgpu

Speeding Up Homomorpic Hashing Using GPUs

K. Zhao, X. Chu, M. Z. Wang, Y. Jiang

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

January 5, 2011 by hgpu

CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

Naga K. Govindaraju, Stephane Redon, Ming C. Lin, Dinesh Manocha

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Tags: Collision detection, Computer science, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL

January 5, 2011 by hgpu

Parallel evolutionary algorithms on graphics processing unit

Man-Leung Wong, Tien-Tsin Wong, Ka-Ling Fok

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce 6800 Ultra, Optimization, Shaders

January 5, 2011 by hgpu

Data-parallel computing

Chas. Boyd

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Tags: Computer science, Data parallelism, Review

January 5, 2011 by hgpu

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

Tony Cheneau, Aymen Boudguiga, Maryline Laurent

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8600 GTS, Security

January 5, 2011 by hgpu

A design case study: CPU vs. GPGPU vs. FPGA

Daniel L. Rosenband, Till Rosenband

Tags: Computer science, CUDA, FPGA, nVidia

January 5, 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

Synthetic Aperture Radar Processing with GPGPU

An asymmetric distributed shared memory model for heterogeneous parallel systems

Efficient gather and scatter operations on graphics processors

Data-parallel algorithms and data structures

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Fully-3D GPU PET reconstruction

Speeding Up Homomorpic Hashing Using GPUs

CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

Parallel evolutionary algorithms on graphics processing unit

Data-parallel computing

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

A design case study: CPU vs. GPGPU vs. FPGA

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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