Towards Transparently Tackling Functionality and Performance Issues across Different OpenCL Platforms
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7051717/7051844/07052172.pdf?arnumber=7052172
Cited by 8 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. Accelerating Automotive Analytics: The M2DC Appliance Approach;Lecture Notes in Computer Science;2019
2. Exploring manycore architectures for next-generation HPC systems through the MANGO approach;Microprocessors and Microsystems;2018-09
3. OpenCL HLS Based Design of FPGA Accelerators for Cryptographic Primitives;2018 International Conference on High Performance Computing & Simulation (HPCS);2018-07
4. Design Space Pruning and Computational Workload Splitting for Autotuning OpenCL Applications;Proceedings of the Rapido'18 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools - RAPIDO '18;2018
5. MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems;2017 Euromicro Conference on Digital System Design (DSD);2017-08
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