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A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Robert Halstead, Walid Najjar

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Sparse matrix

April 8, 2013 by hgpu

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Michael Boyer, Kevin Skadron, Shuai Che, Nuwan Jayasena

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6670, Computer science, Heterogeneous systems, OpenCL, Performance, Task scheduling

April 8, 2013 by hgpu

Development of methods for the processing of mining images using genetic algorithms

Lacezar Licev, Marek Babiuch, Tomas Fabian, Radim Farana

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

April 8, 2013 by hgpu

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Mickael Gastineau, Jacques Laskar

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Tags: Algorithms, Computer science, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, nVidia, Symbolic Computation, Tesla S2050

April 8, 2013 by hgpu

Atomic-free Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Tesla K20

April 7, 2013 by hgpu

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

A. Yu. Polyakov, S. Denisov, P. Hanggi

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Tags: CUDA, Differential equations, nVidia, Physics, Quantum Physics, Tesla M2050

April 7, 2013 by hgpu

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Hovhannes Bantikyan

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

April 7, 2013 by hgpu

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Steven Dalton, Nathan Bell, Luke N. Olson

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Sorting, Sparse matrix, Tesla C2075

April 7, 2013 by hgpu

A new CUDA-based GPU implementation of the two-dimensional Athena code

A. Wasiljew, K. Murawski

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Tags: CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460

April 7, 2013 by hgpu

OpenCL C++

Benedict R. Gaster, Lee Howes

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Tags: Computer science, Heterogeneous systems, OpenCL

April 6, 2013 by hgpu

A Performance Study of Zero Crossing Rate (ZCR) on Graphics Processors (GPUs) Using CUDA

Nydruva Biligere Priyadarshi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

April 6, 2013 by hgpu

Improving GPU Performance Prediction with Data Transfer Modeling

Michael Boyer, Jiayuan Meng, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance

April 6, 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

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Development of methods for the processing of mining images using genetic algorithms

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Atomic-free Irregular Computations on GPUs

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

A new CUDA-based GPU implementation of the two-dimensional Athena code

OpenCL C++

A Performance Study of Zero Crossing Rate (ZCR) on Graphics Processors (GPUs) Using CUDA

Improving GPU Performance Prediction with Data Transfer Modeling

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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