high performance computing on graphics processing units: hgpu.org

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To GPU Synchronize or Not GPU Synchronize?

Wu-Chun Feng, Shucai Xiao

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques, Synchronization

March 12, 2011 by hgpu

Stereo depth with a Unified Architecture GPU

Joel Gibson, Oge Marques

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

March 11, 2011 by hgpu

GPU-Accelerated Text Mining

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Text mining

March 11, 2011 by hgpu

Interactive SPH Simulation and Rendering on the GPU

Prashant Goswami, Philipp Schlegel, Barbara Solenthaler, Renato Pajarola

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Rendering

March 11, 2011 by hgpu

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

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

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

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

Gyrokinetic Particle-in-Cell Optimization on Emerging Multi- and Manycore Platforms

Kamesh Madduri, Eun-Jin Im, Khaled Z. Ibrahim, Samuel Williams, Stephane Ethier, Leonid Oliker

Tags: CUDA, nVidia, Optimization, Particle-in-cell methods, Plasma physics, Tesla C2050

March 9, 2011 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

To GPU Synchronize or Not GPU Synchronize?

Stereo depth with a Unified Architecture GPU

GPU-Accelerated Text Mining

Interactive SPH Simulation and Rendering on the GPU

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

Implementing Ultrasound Beamforming on the GPU using CUDA

Realtime phase-based optical flow on the GPU

An Efficient SAR Processor Based on GPU via CUDA

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

Gyrokinetic Particle-in-Cell Optimization on Emerging Multi- and Manycore Platforms

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

Most viewed papers (last 30 days)