Replicas redistribution in distributed database using creative evolutionary systems approach
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
A high performance simulator system for a multiprocessor system based on a multi-way cluster
ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
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Abstract: This paper proposes a method to reduce the amount of the memory references generated by the front-end of our distributed execution-driven simulator for shared memory multiprocessors named Shaman. The simulator consists of the front-end to execute programs in parallel and the back-end, driven by the memory references from the front-end, to simulate the behavior of the memory system of a target multiprocessor. For high performance simulation, the front-end runs on a PC cluster using software DSM technique and partially simulates the coherent cache of the target system. The key idea of the reference reduction is to use the caches in the front-end as a filter of the references. We prove that the filtering for a memory block is safe if it is accessed in data-race-free manner as the whole. We also show a method to detect racing blocks to inactivate the filtering. The preliminary experiment with SPLASH-2 kernels shows up to 99.6 % of references are filtered out and redundant references are less than 1.4 %.