Hardware Transactional Memory Exploration in Coherence-Free Many-Core Architectures

• Published in: International journal of parallel programming Vol. 46; no. 6; pp. 1304 - 1328
• Main Authors: Papagiannopoulou, Dimitra, Marongiu, Andrea, Moreshet, Tali, Benini, Luca, Herlihy, Maurice, Bahar, R. Iris
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2018; Springer Nature B.V
• Subjects: Clusters; Coherence; Computer memory; Computer programming; Computer Science; Embedded systems; Hardware; Parallel processing; Processor Architectures; Servers; Software Engineering/Programming and Operating Systems; Synchronism; Theory of Computation; Coherence-free memory architectures; Parallel processing; Embedded systems; Transactional memory
• ISSN: 0885-7458; 1573-7640
• DOI: 10.1007/s10766-018-0569-7

High-end embedded systems, like their general-purpose counterparts, are turning to many-core cluster-based shared-memory architectures that provide a shared memory abstraction subject to non-uniform memory access costs. In order to keep the cores and memory hierarchy simple, many-core embedded systems tend to employ simple, scratchpad-like memories, rather than hardware managed caches that require some form of cache coherence management. These “coherence-free” systems still require some means to synchronize memory accesses and guarantee memory consistency. Conventional lock-based approaches may be employed to accomplish the synchronization, but may lead to both usability and performance issues. Instead, speculative synchronization, such as hardware transactional memory, may be a more attractive approach. However, hardware speculative techniques traditionally rely on the underlying cache-coherence protocol to synchronize memory accesses among the cores. The lack of a cache-coherence protocol adds new challenges in the design of hardware speculative support. In this article, we present a new scheme for hardware transactional memory (HTM) support within a cluster-based, many-core embedded system that lacks an underlying cache-coherence protocol. We propose two alternative data versioning implementations for the HTM support, Full-Mirroring and Distributed Logging and we conduct a performance comparison between them. To the best of our knowledge, these are the first designs for speculative synchronization for this type of architecture. Through a set of benchmark experiments using our simulation platform, we show that our designs can achieve significant performance improvements over traditional lock-based schemes.