high performance computing on graphics processing units: hgpu.org

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Parallel Breadth First Search on GPU Clusters

Zhisong Fu, Harish Kumar Dasari, Martin Berzins, Bryan Thompson

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Graph theory, Network communications, nVidia, Package, Tesla K20

August 11, 2014 by hgpu

Optimising Purely Functional GPU Programs (Thesis)

Trevor L. McDonell

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Tags: Code generation, Computer science, CUDA, nVidia, Package, Performance, Tesla T10, Thesis

August 10, 2014 by hgpu

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Mehran Maghoumi

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Tags: Computer science, Computer vision, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660, Package, Thesis

August 9, 2014 by hgpu

Optimizing memory management on heterogeneous systems using polyhedral, compile-time techniques

Vassilis Vassiliadis

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Tags: Computer science, Heterogeneous systems, Memory model, OpenCL, Package, Thesis

August 7, 2014 by hgpu

Dense Arithmetic over Finite Fields with the CUMODP Library

Sardar Anisul Haquen, Xin Li, Farnam Mansouri, Marc Moreno Maza, Wei Pan, Ning Xie

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Tags: Algorithms, Computer science, CUDA, FFT, Linear Algebra, Mathematics, nVidia, Package, Tesla C2050

August 7, 2014 by hgpu

GIS Polygon Overlay Processing: New Parallel Algorithm and System Prototype

Satish Puri, Sushil K. Prasad

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 780, Package

August 5, 2014 by hgpu

Scalable and High Performance Betweenness Centrality on the GPU

Adam McLaughlin, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Graph theory, Numerical simulation, nVidia, nVidia GeForce GTX Titan, Package, Tesla M2090

August 1, 2014 by hgpu

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

D. C. Price, M. A. Clark, B. R. Barsdell, R. Babich, L. J. Greenhill

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Tags: Astrophysics, CUDA, Energy-efficient computing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 780, Package, Performance, Signal processing, Tesla K20

August 1, 2014 by hgpu

A CUDA-Based Real Parameter Optimization Benchmark

Ke Ding, Ying Tan

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package

July 30, 2014 by hgpu

Bayesian model comparison via sequential Monte Carlo

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematics, nVidia, nVidia Quadro 2000, OpenCL, Package, Statistics, Thesis

July 28, 2014 by hgpu

Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

Esin Yavuz, James Turner, Thomas Nowotny

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Tags: Bioinformatics, Biology, Code generation, CUDA, Neural networks, Neuroscience, nVidia, Package, Tesla C2070

July 28, 2014 by hgpu

Parallel kinetic Monte Carlo simulation of Coulomb glasses

Ezequiel E. Ferrero, Alejandro B. Kolton, Matteo Palassini

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Tags: Algorithms, Condensed matter, CUDA, Disordered Systems and Neural Networks, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Package, Tesla C2075, Tesla K20

July 24, 2014 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Breadth First Search on GPU Clusters

Optimising Purely Functional GPU Programs (Thesis)

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Optimizing memory management on heterogeneous systems using polyhedral, compile-time techniques

Dense Arithmetic over Finite Fields with the CUMODP Library

GIS Polygon Overlay Processing: New Parallel Algorithm and System Prototype

Scalable and High Performance Betweenness Centrality on the GPU

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

A CUDA-Based Real Parameter Optimization Benchmark

Bayesian model comparison via sequential Monte Carlo

Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

Parallel kinetic Monte Carlo simulation of Coulomb glasses

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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