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Real-Time Exact Graph Matching with Application in Human Action Recognition

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, Pattern recognition

August 13, 2012 by hgpu

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Snejana Pleshkova

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280

August 13, 2012 by hgpu

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Yukihiro Komura, Yutaka Okabe

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2050

August 13, 2012 by hgpu

Real-Time Implementation of Remotely Sensed Hyperspectral Image Unmixing on GPUs

Sergio Sanchez, Rui Ramalho, Leonel Sousa, Antonio Plaza

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Sensing

August 11, 2012 by hgpu

Designing OP2 for GPU architectures

M.B. Giles, G.R. Mudalige, B. Spencer, C. Bertolli, I. Reguly

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Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package, Performance, Tesla C2070

August 11, 2012 by hgpu

Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs

C. Bertolli, A. Betts, N. Loriant, G. R. Mudalige, D. Radford, M. B. Giles, P. H.J. Kelly

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Tags: CUDA, Fluid dynamics, nVidia, Tesla C2070

August 11, 2012 by hgpu

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

G.R. Mudalige, M.B. Giles, I. Reguly, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050, Tesla C2070

August 11, 2012 by hgpu

Large Scale Monte Carlo Tree Search on GPU

Kamil Marek Rocki

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Games, nVidia, Optimization, Search, Tesla C2050, Thesis

August 11, 2012 by hgpu

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Hartwig Anzt, Stanimire Tomov, Jack Dongarra, Vincent Heuveline

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

August 10, 2012 by hgpu

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Ahmad Abdelfattah, Jack Dongarra, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, nVidia, Optimization, Package, Tesla C2070

August 10, 2012 by hgpu

Fine-Granular Parallel EBCOT and Optimization with CUDA for Digital Cinema Image Compression

Fang Wei, Qiu Cui, Ye Li

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Tags: Algorithms, Compression, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce GT 240, Optimization

August 10, 2012 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

Real-Time Exact Graph Matching with Application in Human Action Recognition

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Real-Time Implementation of Remotely Sensed Hyperspectral Image Unmixing on GPUs

Designing OP2 for GPU architectures

Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

Large Scale Monte Carlo Tree Search on GPU

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Fine-Granular Parallel EBCOT and Optimization with CUDA for Digital Cinema Image Compression

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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