Amanote Research

Amanote Research

    RegisterSign In

Exploring Functional Acceleration of OpenCL on FPGAs and GPUs Through Platform-Independent Optimizations

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-319-78890-6_44
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2018

Authors
Umar Ibrahim MinhasRoger WoodsGeorgios Karakonstantis
Publisher

Springer International Publishing


Related search

Exploring the Acceleration of the Met Office NERC Cloud Model Using FPGAs

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2019English

IA Algorithm Acceleration Using GPUs

English

Multidimensional Costas Arrays and Their Enumeration Using GPUs and FPGAs

International Journal of Reconfigurable Computing
HardwareArchitecture
2012English

Dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2017English

Compiler Generated Systolic Arrays for Wavefront Algorithm Acceleration on FPGAs

2008English

Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study With OpenDwarfs

2016English

Exploring the Limits of GPUs With Parallel Graph Algorithms

English

Improving Storage Performance Through Layout Optimizations

English

Spiking Neurons on GPUs

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy