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Multi Agent Navigation on the GPU

Avi Bleiweiss

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Tags: Artificial intelligence, Computer science, CUDA, Games, Hashing, nVidia, nVidia GeForce GTX 280, Search strategies

March 11, 2011 by hgpu

Real-time human detection using histograms of oriented gradients on a GPU

Kirt Lillywhite, Dah-Jye Lee, Dong Zhang

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 11, 2011 by hgpu

Tabu Search with two approaches to parallel flowshop evaluation on CUDA platform

Michal Czapinski, Stuart Barnes

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia

March 10, 2011 by hgpu

Skeletal rigid skinning with blending patches on the GPU

Andreas Vasilakis, Ioannis Fudos

Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Real-time graphics

March 10, 2011 by hgpu

Implementing Ultrasound Beamforming on the GPU using CUDA

Lars Gronvold

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Tags: Computer science, CUDA, nVidia, Tesla C870, Thesis, Ultrasound

March 10, 2011 by hgpu

Real-Time Crowd Rendering and Interactions on GPU

Zhang Yong, Yin Bao-Cai, Kong De-Hui, Yang Guang-Wei

Tags: 3D Graphics and Realism, Computer science, Rendering, Virtual reality

March 10, 2011 by hgpu

A GPU-enhanced cluster for accelerated FMS

Dan M Davis, Robert F Lucas, Gene Wagenbreth, John J Tran, James R Moore

Tags: 3D Graphics and Realism, Algorithms, Computer science

March 10, 2011 by hgpu

Realtime phase-based optical flow on the GPU

K Pauwels, M M Van Hulle

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, Optical flow

March 10, 2011 by hgpu

An Efficient SAR Processor Based on GPU via CUDA

Bin Liu, Kaizhi Wang, Xingzhao Liu, Wenxian Yu

Tags: CUDA, nVidia, Signal processing

March 10, 2011 by hgpu

Using a GPU to accelerate die and mold fabrication

Masatomo Inui, Atsushi Ohta

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Tags: Algorithms, CAD, Computer science

March 10, 2011 by hgpu

A Predictive Shutdown Technique for GPU Shader Processors

Po-Han Wang, Yen-Ming Chen, Chia-Lin Yang, Yu-Jung Cheng

Tags: Computer science, Energy-efficient computing, Hardware Architecture

March 10, 2011 by hgpu

Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA

J. Habich, T. Zeiser, G. Hager, G. Wellein

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia

March 10, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

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high performance computing on graphics processing units: hgpu.org

Applications

Multi Agent Navigation on the GPU

Real-time human detection using histograms of oriented gradients on a GPU

Tabu Search with two approaches to parallel flowshop evaluation on CUDA platform

Skeletal rigid skinning with blending patches on the GPU

Implementing Ultrasound Beamforming on the GPU using CUDA

Real-Time Crowd Rendering and Interactions on GPU

A GPU-enhanced cluster for accelerated FMS

Realtime phase-based optical flow on the GPU

An Efficient SAR Processor Based on GPU via CUDA

Using a GPU to accelerate die and mold fabrication

A Predictive Shutdown Technique for GPU Shader Processors

Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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