The formal semantics of programming languages: an introduction
The formal semantics of programming languages: an introduction
An efficiency preorder for processes
Acta Informatica
The Stanford FLASH multiprocessor
ISCA '94 Proceedings of the 21st annual international symposium on Computer architecture
Communication and Concurrency
Relating Processes With Respect to Speed
CONCUR '91 Proceedings of the 2nd International Conference on Concurrency Theory
A complexity effective communication model for behavioral modeling of signal processing applications
Proceedings of the 40th annual Design Automation Conference
FORTE'05 Proceedings of the 25th IFIP WG 6.1 international conference on Formal Techniques for Networked and Distributed Systems
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Shared Messaging Communication (SMC) has been introduced in [Satya Kiran M.N.V., Jayram M.N., Pradeep Rao, and S.K. Nandy. A complexity effective communication model for behavioral modeling of signal processing applications. In Proceedings of 40th Design Automation Conference, 2003] as a model of communication which reduces communication costs (both in terms of communication latency and memory usage) by allowing tasks to communicate data through special shared memory regions. Sending a reference to an otherwise inaccessible memory regions rather than the data itself, the model combines the advantages of message passing and shared memories. Experimental results have shown that SMC in case of large data payloads clearly outperforms the classical message passing. In this paper we give a formal operational semantics to SMC exhibiting unambiguously the effect of executing an SMC command on local and shared memories. Based on this semantics we show that any program using message passing can be proved to be weakly bisimilar to one based on SMC and that with respect to communication costs the latter is amortised cheaper, [A. Kiehn and S. Arun-Kumar. Amortised bisimulations. In Proceedings of FORTE 2005, number 3731 in Lecture Notes in Computer Science, pages 320-334. Springer-Verlag, 2005].