17678
hgpu.org » Android

How to distribute most efficiently a computation intensive calculation on an Android device to external compute units with an Android API

Lander Beckers, Henning Lakiere
View View   Download Download (PDF)   

Tags: , , , , , , ,

October 21, 2017 by hgpu

ART vs. NDK vs. GPU acceleration: A study of performance of image processing algorithms on Android

Andreas Palsson
View View   Download Download (PDF)   

Tags: , , , , , ,

June 25, 2017 by hgpu

GPU-Accelerated SVM Training Algorithm Based on PC and Mobile Device

Yi-Yan Nan, Quan-Zhe Li, Jin-Chun Piao, Shin-Dug Kim
View View   Download Download (PDF)   

Tags: , , , , , , , ,

February 10, 2017 by hgpu

Viability of Feature Detection on Sony Xperia Z3 using OpenCL

Max Danielsson, Thomas Sievert
View View   Download Download (PDF)   Source codes Source codes

Tags: , , , , , , , ,

August 24, 2015 by hgpu

Portable parallelized blowfish via RenderScript

Spencer Davis, Brandon Jones, Hai Jiang
View View   Download Download (PDF)   

Tags: , , , , ,

August 11, 2015 by hgpu

OpenCL-Z Android Released on Google Play

Robert Wang
View View   Download Download (PDF)   

Tags: ,

April 14, 2015 by lanshan317

Recent source codes

OCLADock - OpenCL Accelerated Molecular Docking

OCLADock - OpenCL Accelerated Molecular Docking

A Case Study in Using OpenCL on FPGAs: Creating an Open-Source Accelerator of the AutoDock Molecular Docking Software
sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification

sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Parallax: A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments

Parallax: A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments

Parallax: Automatic Data-Parallel Training of Deep Neural Networks
OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image processing and Reconstruction on heterogeneous Devices

OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image processing and Reconstruction on heterogeneous Devices

OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices
Spatial: Specify Parameterized Accelerators Through Inordinately Abstract Language

Spatial: Specify Parameterized Accelerators Through Inordinately Abstract Language

Spatial: A Language and Compiler for Application Accelerators
cuPentBatch: A batched pentadiagonal solver for NVIDIA GPUs

cuPentBatch: A batched pentadiagonal solver for NVIDIA GPUs

cuPentBatch – A batched pentadiagonal solver for NVIDIA GPUs
LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
CloudCL: Single-Paradigm Distributed Heterogeneous Computing for Cloud Infrastructures

CloudCL: Single-Paradigm Distributed Heterogeneous Computing for Cloud Infrastructures

CloudCL: Single-Paradigm Distributed Heterogeneous Computing for Cloud Infrastructures
Calamari: OCR Engine based on OCRopy and Kraken

Calamari: OCR Engine based on OCRopy and Kraken

Calamari – A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition
FluidFFT: efficient and easy Fast Fourier Transform for Python

FluidFFT: efficient and easy Fast Fourier Transform for Python

FluidFFT: common API (C++ and Python) for Fast Fourier Transform HPC libraries
See all packages

* * *

* * *

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: