Vehicular traffic

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Application of GPU Computing to Some Urban Traffic Problems

Walid Abdala Rfaei Jradi

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Tags: Algorithms, AMD Radeon R9 290X, ATI, Computer science, OpenCL, Thesis, Vehicular traffic

January 16, 2017 by hgpu

GPU-based Pedestrian Detection for Autonomous Driving

Victor Campmany Canes

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 960, nVidia Tegra TX1, Vehicular traffic

May 21, 2016 by hgpu

Layered Interpretation of Street View Images

Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel

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Tags: Algorithms, Computer science, Computer vision, CUDA, Neural networks, nVidia, Robotics, Tesla K40, Vehicular traffic

June 17, 2015 by hgpu

CUDA accelerated large scale vehicular area network simulator

Chok Meng Yip

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Tags: Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Thesis, Vehicular traffic

March 12, 2015 by hgpu

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian

Sankha Baran Dutta

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Tags: Ant colony optimization, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis, Vehicular traffic

December 22, 2014 by hgpu

A Road Marking Extraction Method Using GPGPU

Dajun Ding, Jongsu Yoo, Jekyo Jung, Kwon Soon

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 760, OpenCL, Vehicular traffic

July 4, 2014 by hgpu

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Ugur Cekmez, Mustafa Ozsiginan, Ozgur Koray Sahingoz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 740 M, Path problems, Vehicular traffic

December 20, 2013 by hgpu

Parallel Computing Using GPU for Efficient Traffic Simulation

Sadat Sakif Ahmed

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Thesis, Vehicular traffic

October 4, 2013 by hgpu

Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

Jin Wangy, Norman Rubinz, Haicheng Wuy, Sudhakar Yalamanchiliy

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Tags: Algorithms, ATI, ATI Radeon HD 7660, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Performance, Vehicular traffic

March 5, 2013 by hgpu

Low cost approach to real-time vehicle to vehicle communication using parallel CPU and GPU processing

Goh Chia Chieh, Dino Isa

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 M GTX, Vehicular traffic

January 8, 2013 by hgpu

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

J. Prikryl, J. Kocijan

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Tags: Computer science, CUDA, Monte Carlo simulation, Numerical Analysis, nVidia, nVidia GeForce GTX 275, Vehicular traffic

November 26, 2012 by hgpu

An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

Marcelo Zamith, Mark Joselli, Jose Ricardo Silva Junior, Regina Celia P. Leal-Toledo, Esteban Clua, Eduardo Soluri

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Tags: Cellular automata, Computer science, CUDA, nVidia, Vehicular traffic

October 23, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Application of GPU Computing to Some Urban Traffic Problems

GPU-based Pedestrian Detection for Autonomous Driving

Layered Interpretation of Street View Images

CUDA accelerated large scale vehicular area network simulator

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian

A Road Marking Extraction Method Using GPGPU

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Parallel Computing Using GPU for Efficient Traffic Simulation

Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

Low cost approach to real-time vehicle to vehicle communication using parallel CPU and GPU processing

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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