high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Computing Strongly Connected Components in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

December 4, 2011 by hgpu

Multi-Directional Optimisation on the GPU

Niels Stchedroff

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Tags: Algorithms, CUDA, Finance, nVidia, Tesla C1060

December 4, 2011 by hgpu

Programming hybrid systems with implicit memory based synchronization

Jens Breitbart

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Tags: Algorithms, Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 480, Package, Tesla C2050

December 3, 2011 by hgpu

A Multi-View Stereo Implementation on Massively Parallel Hardware

Mate Beljan, Ronny Klowsky, Michael Goesele

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Rendering, Tesla C870

December 3, 2011 by hgpu

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Duhu Man, Kenji Uda, Hironobu Ueyama, Yasuaki Ito, Koji Nakano

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Tags: Algorithms, CUDA, Image processing, Memory model, nVidia, nVidia GeForce GTX 480, Tesla C1060

December 3, 2011 by hgpu

Design and Optimization of Hybrid MD5-Blowfish Encryption on GPUs

Zhu Wang, Josh Graham, Noura Ajam, Hai Jiang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Optimization, Security, Tesla C2070

December 3, 2011 by hgpu

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

Jianwen Chen, Ming Yan, Luminita A. Vese, John Villasenor, Alex Bui, Jason Cong

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, Tesla C1060, Tomography

December 3, 2011 by hgpu

On the design of architecture-aware algorithms for emerging applications

Seunghwa Kang

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Tags: Algorithms, Benchmarking, Biology, Cell processor, Computational biology, CUDA, Image processing, MapReduce, nVidia, Package, Tesla C1060, Thesis

December 2, 2011 by hgpu

Effective GPU Strategies for LU Decomposition

Dinesh Bandara, Nalin Ranasinghe

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Tags: Algorithms, Computer science, CUDA, Matrix decomposition, nVidia, Tesla C1060

December 2, 2011 by hgpu

Efficient Cubic B-spline Image Interpolation on a GPU

Frederic Champagnat, Yves Le Sant

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260 M, Package, Tesla C2050

December 2, 2011 by hgpu

Massively Parallelized Monte Carlo Simulation and its Applications in Finance

Ashkan Ziabakhshdeylami, Lauren Looi

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Tags: Algorithms, Finance, Monte Carlo simulation, nVidia, Risk Management, Tesla C2050

December 2, 2011 by hgpu

Auto-optimization of a Feature Selection Algorithm

Didem Unat, Han Suk Kim, Jurgen P. Schulze, Scott B. Baden

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optimization, Rendering, Tesla C1060, Visualization

December 2, 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

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high performance computing on graphics processing units: hgpu.org

Computing Strongly Connected Components in Parallel on CUDA

Multi-Directional Optimisation on the GPU

Programming hybrid systems with implicit memory based synchronization

A Multi-View Stereo Implementation on Massively Parallel Hardware

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Design and Optimization of Hybrid MD5-Blowfish Encryption on GPUs

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

On the design of architecture-aware algorithms for emerging applications

Effective GPU Strategies for LU Decomposition

Efficient Cubic B-spline Image Interpolation on a GPU

Massively Parallelized Monte Carlo Simulation and its Applications in Finance

Auto-optimization of a Feature Selection Algorithm

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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