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Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Signal processing

June 3, 2014 by hgpu

Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics

Adam McLaughlin, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 560, Tesla C2075

June 3, 2014 by hgpu

Visualization Tool for GPGPU Programming

Peter J. Zeno

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Visualization

June 3, 2014 by hgpu

Cofactorization on Graphics Processing Units

Andrea Miele, Joppe W. Bos, Thorsten Kleinjung, Arjen K. Lenstra

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Tags: Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 580, PTX, Security

June 3, 2014 by hgpu

Loo.py: transformation-based code generation for GPUs and CPUs

Andreas Klockner

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Tags: ATI, ATI Radeon HD 7990, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, Programming Languages, PyOpenCL, Python

June 2, 2014 by hgpu

Integrated Modelling of Hydrodynamic Processes, Faecal Indicator Organisms and Related Parameters with Improved Accuracy using Parallel (GPU) Computing

Brian Adjetey Boye

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 590, Tesla K10, Tesla K20, Thesis

June 2, 2014 by hgpu

Accelerating NTRU based Homomorphic Encryption using GPUs

Wei Dai, Yarkin Doroz, Berk Sunar

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Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX 690, Security

June 2, 2014 by hgpu

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Luke Mather, Elisabeth Oswald, Carolyn Whitnall

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Tags: AMD Radeon R9 290, ATI, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Security, Tesla K20

June 2, 2014 by hgpu

Region Templates: Data Representation and Management for Large-Scale Image Analysis

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Scott Klasky, Joel Saltz

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Tags: Computer science, CUDA, Heterogeneous systems, Hybrid computing, Microscopy, nVidia, OpenCV, Tesla M2090

June 2, 2014 by hgpu

Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors

Jose M. Molero, Ester M. Garzon, Inmaculada Garcia, Enrique S. Quintana-Orti, Antonio Plaza

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Tags: Algorithms, CUDA, Data acquisition, Hyperspectral imaging, Image processing, nVidia, Tesla K20

June 1, 2014 by hgpu

A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms

Huda Ibeid, Rio Yokota, David Keyes

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Fast multipole method, Molecular dynamics, N-body simulation, nVidia, Physics, Tesla K20

June 1, 2014 by hgpu

An implementation of a reordering approach for increasing the product of diagonal entries in a sparse matrix

Ang Li, Radu Serban, Dan Negrut

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Sparse matrix

June 1, 2014 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

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics

Visualization Tool for GPGPU Programming

Cofactorization on Graphics Processing Units

Loo.py: transformation-based code generation for GPUs and CPUs

Integrated Modelling of Hydrodynamic Processes, Faecal Indicator Organisms and Related Parameters with Improved Accuracy using Parallel (GPU) Computing

Accelerating NTRU based Homomorphic Encryption using GPUs

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Region Templates: Data Representation and Management for Large-Scale Image Analysis

Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors

A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms

An implementation of a reordering approach for increasing the product of diagonal entries in a sparse matrix

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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