high performance computing on graphics processing units: hgpu.org

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Parallel multi-level analytical global placement on graphics processing units

Jason Cong, Yi Zou

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, Performance, Tesla C1060

June 9, 2011 by hgpu

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Lifan Xu, Michela Taufer, Stuart Collins, Dionisios G. Vlachos

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Tags: Chemistry, CUDA, Data parallelism, GPU cluster, Monte Carlo simulation, nVidia, Physics, Tesla S1070

June 9, 2011 by hgpu

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Andrew Janowczyk, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Particle filtering, Pseudo-random number generators

June 7, 2011 by hgpu

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

Satish Chikkagoudar, Kai Wang, Mingyao Li

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Tags: Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 1800, Package, Tesla C1060

June 7, 2011 by hgpu

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Weihang Zhu, Ashraf Yaseen, Yaohang Li

Tags: Computer science, CUDA, Differential evolution, Monte Carlo simulation, nVidia, Optimization

June 7, 2011 by hgpu

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

M. Schonherr, K. Kucher, M. Geier, M. Stiebler, S. Freudiger, M. Krafczyk

Tags: CUDA, Lattice Boltzmann model, Mathematics, nVidia

June 7, 2011 by hgpu

Massively Parallel Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao, Mea Wang

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260

June 6, 2011 by hgpu

Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Evdokimos I. Konstantinidis, Christos A. Frantzidis, Lazaros Tzimkas, Costas Pappas, Panagiotis D. Bamidis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, Signal processing

June 6, 2011 by hgpu

Exploiting Computing Power on Graphics Processing Unit

Ziyi Liu, Wenjing Ma

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Performance

June 5, 2011 by hgpu

Large neighborhood local search optimization on graphics processing units

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 280, Search

June 5, 2011 by hgpu

Interective Point Clouds Fairing on Many-Core System

Tang Jie, Wu Gangshan, Xu Bo, Gong Zhongliang

Tags: Computer science, CUDA, Nearest neighbour, nVidia

June 5, 2011 by hgpu

Implementation of association rule mining using CUDA

S.H. Adil, S. Qamar

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 200

June 5, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Parallel multi-level analytical global placement on graphics processing units

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

Massively Parallel Network Coding on GPUs

Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Exploiting Computing Power on Graphics Processing Unit

Large neighborhood local search optimization on graphics processing units

Interective Point Clouds Fairing on Many-Core System

Implementation of association rule mining using CUDA

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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