high performance computing on graphics processing units: hgpu.org

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High-Speed Object Detection: Design, Study and Implementation of a Detection Framework using Channel Features and Boosting

Tom Runia

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Tags: ATI, ATI Radeon HD 6450, Computer science, Computer vision, Image processing, Machine learning, nVidia, nVidia Jetson TK1, nVidia Tegra, OpenCL, OpenCV, Thesis

August 28, 2015 by hgpu

Mobile GPU Computing Based Filter Bank Convolution for Three-dimensional Wavelet Transform

Di Zhao

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Tags: CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia Jetson TK1, nVidia Tegra

November 13, 2014 by hgpu

Programming Frameworks for Distributed Smartphone Computing

Roelof Kemp

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Tegra, Thesis

March 18, 2014 by hgpu

XSD: Accelerating MapReduce by Harnessing the GPU inside an SSD

Benjamin Y. Cho, Won Seob Jeong, Doohwan Oh, Won Woo Ro

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Tags: Computer science, GPGPU-sim, MapReduce, nVidia, nVidia GeForce GTX 580, nVidia Tegra

December 20, 2013 by hgpu

Performance Optimization of Vision Apps on Mobile Application Processor

Kwang-Ting (Tim) Cheng, Xin Yang and Yi-Chu Wang

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Tags: Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia Tegra, OpenGL

August 24, 2013 by hgpu

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Roelof Kemp, Nicholas Palmer, Thilo Kielmann, Henri Bal, Bastiaan Aarts, Anwar Ghuloum

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Tegra

June 4, 2013 by hgpu

A Fast and Efficient SIFT Detector Using the Mobile GPU

Blaine Rister, Guohui Wang, Michael Wu, Joseph R. Cavallaro

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Tags: Computer science, Computer vision, nVidia, nVidia Tegra, OpenGL

February 28, 2013 by hgpu

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

Kwang-Ting (Tim) Cheng, Yi-Chu Wang

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Tags: ARM, Computer science, Computer vision, FFT, Image recognition, nVidia, nVidia Tegra

November 20, 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

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high performance computing on graphics processing units: hgpu.org

High-Speed Object Detection: Design, Study and Implementation of a Detection Framework using Channel Features and Boosting

Mobile GPU Computing Based Filter Bank Convolution for Three-dimensional Wavelet Transform

Programming Frameworks for Distributed Smartphone Computing

XSD: Accelerating MapReduce by Harnessing the GPU inside an SSD

Performance Optimization of Vision Apps on Mobile Application Processor

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

A Fast and Efficient SIFT Detector Using the Mobile GPU

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

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)