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Author:

Liu, Yi (Liu, Yi.) | Su, Yangming (Su, Yangming.) | Zhang, Cui (Zhang, Cui.) | Wu, Mingyu (Wu, Mingyu.) | Zhang, Xin (Zhang, Xin.) | Li, He (Li, He.) | Qian, Depei (Qian, Depei.)

Indexed by:

CPCI-S Scopus EI

Abstract:

Efficient transaction nesting is one of the ongoing challenges for hardware transactional memory. To increase efficiency of closed nesting, this paper proposes a conditional partial rollback (CPR) scheme which supports conditional partial rollback without increasing hardware complexities significantly. In stead of rolling back to the outermost transaction as in commonly-used flattening model, the CPR scheme just rolls back to the conflicted transaction itself or one of its outer-level transactions if given conditions are satisfied. By recording access status of each nested transaction, the scheme uses one global data set for all of the nested transactions rather than independent data set for each nested transaction. Hardware transactional memory architecture with Hie support of CPR scheme is also proposed based on multi-core processor and current cache coherence mechanism. Time system is implemented by simulation, and evaluated using seven benchmark applications. Evaluation results show that the CPR scheme achieves better performance and scalability than the flattening model which is commonly-used in hardware transactional memory.

Keyword:

multi-core processor programmability programming model transactional memory transaction nesting

Author Community:

  • [ 1 ] [Liu, Yi; Su, Yangming; Zhang, Cui; Wu, Mingyu; Qian, Depei] Beihang Univ, Sinogerman Joint Software Inst, Beijing 100191, Peoples R China
  • [ 2 ] [Zhang, Xin; Li, He; Qian, Depei] Xi An Jiao Tong Univ, Dept Comp, Xian 710049, Peoples R China

Reprint Author's Address:

  • Beihang Univ, Sinogerman Joint Software Inst, Beijing 100191, Peoples R China.

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Source :

ARCHITECTURE OF COMPUTING SYSTEMS - ARCS 2010, PROCEEDINGS

ISSN: 0302-9743

Year: 2010

Volume: 5974

Page: 138-+

Language: English

0 . 4 0 2

JCR@2005

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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