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GPU-based timetable generation

Ricardo Filipe Pereira Neves

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Tags: Computer science, CUDA, Genetic algorithm, nVidia, nVidia GeForce GTX 770, Thesis

September 30, 2016 by hgpu

The Genetic Convolutional Neural Network Model Based on Random Sample

You Zhining, Pu Yunming

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Tags: Algorithms, CNN, Computer science, CUDA, Deep learning, Genetic algorithm, Neural networks, nVidia, nVidia GeForce GTX 770

December 4, 2015 by hgpu

Parallel Genetic Algorithms on a GPU to Solve the Travelling Salesman Problem

Leopoldo Noel Gaxiola Sanchez, Juan Jose Tapia Armenta, Victor Hugo Diaz Ramirez

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Tags: Algorithms, Computer science, CUDA, Genetic algorithm, nVidia, nVidia GeForce GTX 780, Path problems

April 27, 2015 by hgpu

Performance Comparison of GPUs with a Genetic Algorithm based on CUDA

Jae-Hyun Seo, Eun-Sol Ko, Yong-Hyuk Kim

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Tags: Algorithms, Computer science, CUDA, Genetic algorithm, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 260, nVidia GeForce GTX 760, nVidia GeForce GTX 770

December 15, 2014 by hgpu

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TorchOpt: an efficient library for differentiable optimization built upon PyTorch

TorchOpt: An Efficient Library for Differentiable Optimization

NaturalCC: An Open-Source Toolkit for Code Intelligence

A Study on Neural-based Code Summarization in Low-resource Settings

mt4g: Memory Topology for GPUs

Capturing the Memory Topology of GPUs

iGniter: an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

pyGSL: A Scalable Library for Graph Structure Learning

pyGSL: A Graph Structure Learning Toolkit

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU-based timetable generation

The Genetic Convolutional Neural Network Model Based on Random Sample

Parallel Genetic Algorithms on a GPU to Solve the Travelling Salesman Problem

Performance Comparison of GPUs with a Genetic Algorithm based on CUDA

Recent source codes

SYCL-DNN: a library implementing neural network algorithms written using SYCL

SW#SYCL

StateMover: a checkpoint-based debugging framework for FPGAs

Flink-TornadoVM-Artifact

Kernel Tuner

TorchOpt: an efficient library for differentiable optimization built upon PyTorch

NaturalCC: An Open-Source Toolkit for Code Intelligence

mt4g: Memory Topology for GPUs

iGniter: an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud

pyGSL: A Scalable Library for Graph Structure Learning

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