By Antonio Balzanella, Rosanna Verde (auth.), Joanna Kołodziej, Beniamino Di Martino, Domenico Talia, Kaiqi Xiong (eds.)
This quantity set LNCS 8285 and 8286 constitutes the complaints of the thirteenth overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2013, held in Vietri sul Mare, Italy in December 2013. the 1st quantity comprises 10 exceptional and 31 common papers chosen from ninety submissions and protecting subject matters equivalent to giant information, multi-core programming and software program instruments, allotted scheduling and cargo balancing, high-performance medical computing, parallel algorithms, parallel architectures, scalable and disbursed databases, dependability in dispensed and parallel platforms, instant and cellular computing. the second one quantity includes 4 sections together with 35 papers from one symposium and 3 workshops held at the side of ICA3PP 2013 major convention. those are thirteen papers from the 2013 overseas Symposium on Advances of allotted and Parallel Computing (ADPC 2013), five papers of the foreign Workshop on significant facts Computing (BDC 2013), 10 papers of the foreign Workshop on relied on details in large facts (TIBiDa 2013) in addition to 7 papers belonging to Workshop on Cloud-assisted shrewdpermanent Cyber-Physical structures (C-Smart CPS 2013).
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Additional resources for Algorithms and Architectures for Parallel Processing: 13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings, Part I
6548, pp. 31–45. Springer, Heidelberg (2011) 2. : Reducing STM overhead with access permissions. In: International Workshop on Aliasing, Conﬁnement and Ownership in Object-Oriented Programming, IWACO 2009. ACM (2009) 3. : Advanced Java bytecode instrumentation. In: Proceedings of the 5th International Symposium on Principles and Practice of Programming in Java, PPPJ 2007. ACM (2007) 4. : STAMP: Stanford transactional applications for multi-processing. In: IISWC 2008: Proceedings of The IEEE International Symposium on Workload Characterization (2008) 5.
Moreover, given its lightweight nature, it has almost no overhead when the benchmark presents no opportunities for optimizations. In Section 6, we discuss related work on optimization techniques for STMs. Finally, in Section 7, we conclude and discuss some future work. 2 Past Solutions for Compiler Over-Instrumentation A naive STM compiler translates every memory access inside a transaction into a read or a write barrier, which typically require orders of magnitude more machine cycles than a simple memory access.
2). 1). Our implementation uses a new infrastructure of enhancement transformations, Lightweight Identiﬁcation of Captured Memory 17 which is described in Section 4. By providing an implementation of our proposal within Deuce STM, we were able to test it with a variety of baseline STM algorithms, namely, LSA , TL2 , and JVSTM . – We performed extensive experimental tests for a wide variety of benchmarks (Section 5), including real-world–sized benchmarks that are known for being specially challenging for STMs.
Algorithms and Architectures for Parallel Processing: 13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings, Part I by Antonio Balzanella, Rosanna Verde (auth.), Joanna Kołodziej, Beniamino Di Martino, Domenico Talia, Kaiqi Xiong (eds.)