Compiler-assisted test acceleration on GPUs for embedded software-Reference-Cited by-同舟云学术

Compiler-assisted test acceleration on GPUs for embedded software

Published:2017-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis
language:
Short-container-title:

Author:

Yaneva Vanya¹,Rajan Ajitha¹,Dubach Christophe¹

Affiliation:

1. University of Edinburgh, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3092703.3092720

Reference33 articles.

1. Samer Al-Kiswany etal 2008. StoreGPU: exploiting graphics processing units to accelerate distributed storage systems. In HPDC. ACM. 10.1145/1383422.1383443 Samer Al-Kiswany et al. 2008. StoreGPU: exploiting graphics processing units to accelerate distributed storage systems. In HPDC. ACM. 10.1145/1383422.1383443

2. E Andersen. 2004. uClibc website. (2004). E Andersen. 2004. uClibc website. (2004).

3. Engineering a Static Verification Tool for GPU Kernels

4. Muthu Manikandan Baskaran J. Ramanujam and P. Sadayappan. 2010. Automatic C-to-CUDA code generation for affine programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6011 LNCS. Springer Berlin Heidelberg 244–263. https:// 10.1007/978-3-642-11970-5_14 Muthu Manikandan Baskaran J. Ramanujam and P. Sadayappan. 2010. Automatic C-to-CUDA code generation for affine programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6011 LNCS. Springer Berlin Heidelberg 244–263. https:// 10.1007/978-3-642-11970-5_14

Cited by 12 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. DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models;2023 IEEE International Conference on Software Maintenance and Evolution (ICSME);2023-10-01

2. Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

3. Reducing branch divergence to speed up parallel execution of unit testing on GPUs;The Journal of Supercomputing;2023-05-13

4. BenchPress;Proceedings of the International Conference on Parallel Architectures and Compilation Techniques;2022-10-08

5. Programming and execution models for parallel bounded exhaustive testing;Proceedings of the ACM on Programming Languages;2021-10-20