A Comparison of GPGPU Computing Frameworks on Embedded Systems-Reference-Cited by-同舟云学术

A Comparison of GPGPU Computing Frameworks on Embedded Systems

Published:2015 Issue:4 Volume:48 Page:240-245
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Faber Peter,Größlinger Armin

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference14 articles.

1. AMD (2014). Bolt Documentation. Webpage, last visited 2014-08-03. URL http://hsa-libraries.github.io/Bolt/html/.

2. Benedict R. Gaster (2013). The OpenCL C++ Wrapper API. Webpage, last visited on 2014-09-10. URL http://www.khronos.org/registry/cl/specs/opencl-cplusplus-1.2.pdf.

3. Boost Community (2014). Boost libraries. Homepage, last vistied on 2014-05-16. URL http://www.boost.org/.

4. Bozkus, Z. and Fraguela., B. (2012). A portable high- productivity approach to program heterogeneous systems. In 21st International Heterogeneity in Computing Workshop (HCW 2012), in conjunction with IPDPS ’12, Shanghai, China, 163-173.

5. Congatec AG (2014). Webpage, last visited on 2014-09-09. URL http://www.congatec.com/en/products/qseven/conga-qg.html.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Taxonomy of Modern GPGPU Programming Methods: On the Benefits of a Unified Specification;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2021

2. An automatic optimizer for heterogeneous devices;Future Generation Computer Systems;2020-05

3. Heterogeneous distributed computing based on high-level abstractions;Concurrency and Computation: Practice and Experience;2018-08-02

4. Towards a High Level Approach for the Programming of Heterogeneous Clusters;2016 45th International Conference on Parallel Processing Workshops (ICPPW);2016-08