high performance computing on graphics processing units: hgpu.org

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High Performance Computing for Large Graphs of Internet Applications using GPU

Jia Uddin, Emmanuel Oyekanlu, Cheol-Hong Kim, Jong-Myon Kim

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GT 630 M, Software router

April 6, 2014 by hgpu

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Kazumasa Ikeuchi, Janaka Wijekoon, Shinichi Ishida, Hiroaki Nishi

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, Software router, String matching

December 4, 2013 by hgpu

Fast and Flexible: Parallel Packet Processing with GPUs and Click

Weibin Sun, Robert Ricci

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Software router, String matching

August 18, 2013 by hgpu

A Dynamic IP Lookup Architecture using Parallel Multiple Hash in GPU-based Software Router

Xin Yao, Yaping Lin, Gang Wang, Guoliang Hu

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 580, Software router

March 24, 2013 by hgpu

Hermes: an integrated CPU/GPU microarchitecture for IP routing

Yuhao Zhu, Yangdong Deng, Yubei Chen

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software router

September 20, 2011 by hgpu

Scalable packet classification via GPU metaprogramming

Kang Kang, Yangdong Steve Deng

Tags: Computer science, Network communications, Software router

May 22, 2011 by hgpu

Fast forwarding table lookup exploiting GPU memory architecture

Youngjun Lee, Minseon Jeong, Sanghwan Lee, Eun-Jin Im

Tags: Computer science, Information Retrieval, Network communications, Software router

March 25, 2011 by hgpu

IP routing processing with graphic processors

Shuai Mu, Xinya Zhang, Nairen Zhang, Jiaxin Lu, Yangdong Steve Deng, Shu Zhang

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Tags: Bloom filter, Computer science, CUDA, Network communications, Networks, nVidia, nVidia GeForce GTX 280, Software router

March 7, 2011 by hgpu

PacketShader: a GPU-accelerated software router

Sangjin Han, Keon Jang, KyoungSoo Park, Sue Moon

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Software router

November 6, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

High Performance Computing for Large Graphs of Internet Applications using GPU

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Fast and Flexible: Parallel Packet Processing with GPUs and Click

A Dynamic IP Lookup Architecture using Parallel Multiple Hash in GPU-based Software Router

Hermes: an integrated CPU/GPU microarchitecture for IP routing

Scalable packet classification via GPU metaprogramming

Fast forwarding table lookup exploiting GPU memory architecture

IP routing processing with graphic processors

PacketShader: a GPU-accelerated software router

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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