Parallel Static Learning Toward Heterogeneous Computing Architectures
文献类型：期刊论文
| 作者 | Lin, Xiaoze1,2,3,4; Lai, Liyang1; Li, Huawei3,4 |
| 刊名 | IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 43期号:3页码:983-993 |
| 关键词 | Automatic test pattern generation (ATPG) graphics processing unit (GPU) multicore CPU parallel acceleration static learning |
| ISSN号 | 0278-0070 |
| DOI | 10.1109/TCAD.2023.3324271 |
| 英文摘要 | Static learning is a learning algorithm for finding additional implicit implications between gates in a netlist. In automatic test pattern generation (ATPG) the learned implications help recognize conflicts and redundancies early, and thus greatly improve the performance of ATPG. Though ATPG can further benefit from multiple runs of incremental or dynamic learning, it is only feasible when the learning process is fast enough. In this article, we study the performance optimization of static learning through parallelization on heterogeneous computing architectures, which includes multicore microprocessors (CPUs), and graphics processing units (GPUs). We discuss the advantages and limitations of each of these architectures. With their specific features in mind, we propose two different parallelization strategies that are tailored to multicore CPUs and GPUs. Speedup and performance scalability of the two proposed parallel algorithms are analyzed. It is demonstrated that for million-gate designs, close to linear performance gain is achieved on multicore CPUs, and up to 260x speedup over a commercial tool can be obtained on a single graphic card. |
| 资助项目 | NSFC Fund |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001170495100012 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/39649]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Lai, Liyang |
| 作者单位 | 1.Shantou Univ, Dept Elect Engn, Shantou 515063, Guangdong, Peoples R China 2.Pengcheng Lab, Dept Strateg & Adv Interdisciplinary Res, Shenzhen 518000, Guangdong, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Dept Comp Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Xiaoze,Lai, Liyang,Li, Huawei. Parallel Static Learning Toward Heterogeneous Computing Architectures[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2024,43(3):983-993. |
| APA | Lin, Xiaoze,Lai, Liyang,&Li, Huawei.(2024).Parallel Static Learning Toward Heterogeneous Computing Architectures.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,43(3),983-993. |
| MLA | Lin, Xiaoze,et al."Parallel Static Learning Toward Heterogeneous Computing Architectures".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 43.3(2024):983-993. |
入库方式： OAI收割
来源：计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。