high performance computing on graphics processing units: hgpu.org

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Scalable Clustering for Vision using GPUs

Wasif Mohiuddin

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Data mining, nVidia, nVidia GeForce 8600, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla T10, Thesis

August 26, 2012 by hgpu

Contributions to Parallel Simulation of Equation-Based Models on Graphics Processing Units

Kristian Stavaker

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 8600, OpenCL, Tesla C1060, Tesla M2050, Thesis

December 9, 2011 by hgpu

A GPU accelerated storage system

Abdullah Gharaibeh, Samer A. Kiswany, Sathish Gopalakrishnan, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, Performance, Storage system

November 1, 2010 by hgpu

pharos: performance monitoring instrumentation for multi-FPGA systems

Performance Monitoring of Multi-FPGA Systems

Efficient Video Compression via Content-Adaptive Super-Resolution

CUDA Modular Polynomial (CUMODP) Library

Parallel Arbitrary-precision Integer Arithmetic

Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters

CUDA Tutorial - Cryptanalysis of Classical Ciphers Using Modern GPUs and CUDA

CUDA Tutorial – Cryptanalysis of Classical Ciphers Using Modern GPUs and CUDA

Ginkgo: a high-performance linear algebra library for manycore systems, with a focus on sparse solution of linear systems

Porting a sparse linear algebra math library to Intel GPUs

Exa.TrkX: Machine Learning for Particle Track Reconstruction

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline

A Compiler Infrastructure for Accelerator Generators

LIKWID: A Lightweight Performance-Oriented Tool Suite

ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX

hls4ml: A package for machine learning inference in FPGAs

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

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Naha, Okinawa, Japan

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

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Shenzhen, China

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Bangkok, Thailand

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high performance computing on graphics processing units: hgpu.org

Scalable Clustering for Vision using GPUs

Contributions to Parallel Simulation of Equation-Based Models on Graphics Processing Units

A GPU accelerated storage system

Recent source codes

pharos: performance monitoring instrumentation for multi-FPGA systems

Efficient Video Compression via Content-Adaptive Super-Resolution

CUDA Modular Polynomial (CUMODP) Library

Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters

CUDA Tutorial - Cryptanalysis of Classical Ciphers Using Modern GPUs and CUDA

Ginkgo: a high-performance linear algebra library for manycore systems, with a focus on sparse solution of linear systems

Exa.TrkX: Machine Learning for Particle Track Reconstruction

A Compiler Infrastructure for Accelerator Generators

LIKWID: A Lightweight Performance-Oriented Tool Suite

hls4ml: A package for machine learning inference in FPGAs

Most viewed papers (last 30 days)

Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020