high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Caffe: Convolutional Architecture for Fast Feature Embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

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Tags: Cloud, Computer science, CUDA, Neural networks, nVidia, Package, Pattern recognition, Python

August 23, 2014 by hgpu

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Youssef S. G. Nashed

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTS 450, Pattern recognition, Thesis

August 23, 2014 by hgpu

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Alexander Efremov, Eugenya Karepova, Vladimir Shaydurov, Alexander Vyatkin

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Tags: Algorithms, CUDA, Mathematics, nVidia, OpenMP, Tesla C2050

August 21, 2014 by hgpu

Volumetric Rendering Techniques for Scientific Visualization

Erhan Okuyan

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 560, OpenMP, Rendering, Visualization

August 21, 2014 by hgpu

Error Resilience Evaluation on GPGPU Applications

Bo Fang

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Package, Thesis

August 21, 2014 by hgpu

GPU Accelerated Range Trees with Applications

Manoj Maramreddy, Kishore Kothapalli

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce GTX 580, OpenMP

August 19, 2014 by hgpu

Parallel Graph Mining with GPUs

Robest Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed J. Zaki

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Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, Tesla C2075

August 19, 2014 by hgpu

Practical Symbolic Race Checking of GPU Programs

Peng Li, Guodong Li, Ganesh Gopalakrishnan

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Tags: Benchmarking, Computer science, CUDA, nVidia, Package, Performance

August 19, 2014 by hgpu

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, Jeffrey Potoff

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla K40

August 19, 2014 by hgpu

Accelerated composite distribution function methods for computational fluid dynamics using GPU

Matthew R. Smith, Yen-Chih Chen

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Tags: CUDA, Finite volume method, Fluid dynamics, nVidia, nVidia GeForce GTX 670, Tesla C2075

August 19, 2014 by hgpu

High Level High Performance Computing for Multitask Learning of Time-varying Models

Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens

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Tags: Algorithms, Computer science, CUDA, nVidia, Python

August 18, 2014 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

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high performance computing on graphics processing units: hgpu.org

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Volumetric Rendering Techniques for Scientific Visualization

Error Resilience Evaluation on GPGPU Applications

GPU Accelerated Range Trees with Applications

Parallel Graph Mining with GPUs

Practical Symbolic Race Checking of GPU Programs

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Accelerated composite distribution function methods for computational fluid dynamics using GPU

High Level High Performance Computing for Multitask Learning of Time-varying Models

Recent source codes

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

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