DocumentCode
1783285
Title
Mitigating the Mismatch between the Coherence Protocol and Conflict Detection in Hardware Transactional Memory
Author
Lihang Zhao ; Lizhong Chen ; Draper, J.
fYear
2014
fDate
19-23 May 2014
Firstpage
605
Lastpage
614
Abstract
Hardware Transactional Memory (HTM) usually piggybacks onto the cache coherence protocol to detect data access conflicts between transactions. We identify an intrinsic mismatch between the typical coherence scheme and transaction execution, which causes a sizable amount of unnecessary transaction aborts. This pathological behavior is called false aborting and increases the amount of wasted computation and on-chip communication. For the TM applications we studied, 41% of the transactional write requests incur false aborting. To combat false aborting, we propose Predictive Unicast and Notification (PUNO), a novel hardware mechanism to 1) replace the inefficient coherence multicast with a unicast scheme to prevent transactions from being disrupted unnecessarily and 2) restrain transaction polling through proactive notification. PUNO reduces transaction aborts by 61% and network traffic by 32% in workloads representative of future TM applications with a VLSI implementation area overhead of 0.41%.
Keywords
cache storage; protocols; shared memory systems; HTM; PUNO; VLSI; cache coherence protocol; coherence scheme; data access conflict detection; false aborting; hardware transactional memory; inefficient coherence multicast; intrinsic mismatch identification; network traffic; on-chip communication; pathological behavior; predictive unicast and notification scheme; restrain transaction polling; transaction execution; transactional write requests; Benchmark testing; Coherence; Hardware; Protocols; Radiation detectors; System-on-chip; Unicast; Chip Multiprocessor; HTM; PUNO; Transactional Memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2014 IEEE 28th International
Conference_Location
Phoenix, AZ
ISSN
1530-2075
Print_ISBN
978-1-4799-3799-8
Type
conf
DOI
10.1109/IPDPS.2014.69
Filename
6877293
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