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GPU Computing in Economics

Eric M. Aldrich

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Tags: CUDA, Finance, nVidia, Package, Review, Tesla C2075

July 20, 2013 by hgpu

Real Time Pixel Art Remasterization on GPUs

Marco A. G. Silva, Anselmo Montenegro, Esteban Clua, Cristina Vasconcelos, Marcos Lage

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Visualization

July 20, 2013 by hgpu

An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2090

July 20, 2013 by hgpu

OpenCL API Extensions to achieve Multi-level Parallelism for Efficient Implementation of Strassen’s Matrix Multiplication on GPUs

Sivaramakrishnan Kasiviswanathan

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Tags: Algorithms, Computer science, Data parallelism, Matrix multiplication, nVidia, OpenCL, Tesla K20

July 19, 2013 by hgpu

HAccRG: Hardware-Accelerated Data Race Detection in GPUs

Anup Holey, Vineeth Mekkat, Antonia Zhai

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia Quadro FX 5800, Performance

July 19, 2013 by hgpu

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

Slo-Li Chu, Chih-Chieh Hsiao

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Tags: ATI, ATI Radeon HD 4670, ATI Radeon HD 5850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 285, OpenCL, Optimization, Playstation

July 19, 2013 by hgpu

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

Renato Farias, Ricardo Farias, Ricardo Marroquim, Esteban Clua

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Tags: Algorithms, Clustering, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 470

July 19, 2013 by hgpu

On Benchmarking the Matrix Multiplication Algorithm using OpenMP, MPI and CUDA Programming Languages

Muhammed Al-Mulhem, Abdulah AlDhamin, Raed Al-Shaikh

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Tags: Algorithms, Benchmarking, Bioinformatics, Computer science, CUDA, Linear Algebra, Matrix multiplication, MPI, nVidia, nVidia GeForce GTX 460

July 19, 2013 by hgpu

A Software-Based Self Test of CUDA Fermi GPUs

Stefano Di Carlo, Giulio Gambardella, Marco Indaco, Ippazio Martella, Paolo Prinetto, Daniele Rolfo, Pascal Trotta

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580

July 17, 2013 by hgpu

Parallelization the Job-shop Problem on Distributed and Shared Memory Architectures

Vu Dinh Trung, Tran Van Lang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 250, Task scheduling

July 17, 2013 by hgpu

Starchart: Hardware and Software Optimization Using Recursive Partitioning Regression Trees

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Design space exploration, nVidia, OpenCL, Tesla C2070

July 17, 2013 by hgpu

Early Experiences With The OpenMP Accelerator Model

Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara Chapman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Package, Tesla K20

July 17, 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

GPU Computing in Economics

Real Time Pixel Art Remasterization on GPUs

An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs

OpenCL API Extensions to achieve Multi-level Parallelism for Efficient Implementation of Strassen’s Matrix Multiplication on GPUs

HAccRG: Hardware-Accelerated Data Race Detection in GPUs

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

On Benchmarking the Matrix Multiplication Algorithm using OpenMP, MPI and CUDA Programming Languages

A Software-Based Self Test of CUDA Fermi GPUs

Parallelization the Job-shop Problem on Distributed and Shared Memory Architectures

Starchart: Hardware and Software Optimization Using Recursive Partitioning Regression Trees

Early Experiences With The OpenMP Accelerator Model

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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