基于多芯片的多核系统任务映射优化芯片间和芯片内通信

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Computers Pub Date : 2024-11-18 DOI:10.1109/TC.2024.3500354
Xiaohang Wang;Yifan Wang;Yingtao Jiang;Amit Kumar Singh;Mei Yang
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引用次数: 0

摘要

通过将多个芯片集成到单个封装中,多芯片系统设计已成为后摩尔时代的一种有前途的范例。本文介绍了一种新的基于多芯片的多核系统任务映射算法,解决了在功率和热约束下芯片内和芯片间通信所带来的独特挑战。传统的任务映射算法无法考虑到这些通信之间的延迟和带宽差异,导致多芯片系统的性能不理想。我们提出的算法采用两步过程:(1)利用完全单模约束矩阵,使用二进制线性规划对小芯片进行任务分配;(2)在考虑热约束和功率约束的同时,将通信延迟降至最低的芯片内映射。该方法战略性地将具有广泛芯片间通信的任务定位在接口节点附近,并将具有优势芯片内通信的任务集中。实验结果表明,该算法的执行时间分别缩短了37.5%和24.7%,优于现有算法(DAR和IOA)。与DAR和IOA相比,通信延迟也减少了43.2%和32.9%。这些结果证实了所提出的任务映射算法与基于多芯片的多核系统的特点非常吻合,从而提高了最优性能。
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On Task Mapping in Multi-chiplet Based Many-Core Systems to Optimize Inter- and Intra-chiplet Communications
Multi-chiplet system design, by integrating multiple chiplets/dielets within a single package, has emerged as a promising paradigm in the post-Moore era. This paper introduces a novel task mapping algorithm for multi-chiplet based many-core systems, addressing the unique challenges posed by intra- and inter-chiplet communications under power and thermal constraints. Traditional task mapping algorithms fail to account for the latency and bandwidth differences between these communications, leading to sub-optimal performance in multi-chiplet systems. Our proposed algorithm employs a two-step process: (1) task assignment to chiplets using binary linear programming, leveraging a totally unimodular constraint matrix, and (2) intra-chiplet mapping that minimizes communication latency while considering both thermal and power constraints. This method strategically positions tasks with extensive inter-chiplet communication near interface nodes and centralizes those with predominant intra-chiplet communication. Experimental results demonstrate that the proposed algorithm outperforms existing methods (DAR and IOA) with a 37.5% and 24.7% reduction in execution time, respectively. Communication latency is also reduced by up to 43.2% and 32.9%, compared to DAR and IOA. These findings affirm that the proposed task mapping algorithm aligns well with the characteristics of multi-chiplet based many-core systems, and thus improves optimal performance.
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来源期刊
IEEE Transactions on Computers
IEEE Transactions on Computers 工程技术-工程:电子与电气
CiteScore
6.60
自引率
5.40%
发文量
199
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.
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