Comparative study of page-based and segment-based software DSM through compiler optimization
Proceedings of the 14th international conference on Supercomputing
Evaluation of Compiler-Assisted Software DSM Schemes for a Workstation Cluster
IWIA '99 Proceedings of the 1999 International Workshop on Innovative Architecture
Compiler optimization techniques for OpenMP programs
Scientific Programming
An efficient software shared virtual memory for the single-chip cloud computer
Proceedings of the Second Asia-Pacific Workshop on Systems
Compiler-Assisted software DSM on a WAN cluster
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
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To execute a shared memory program efficiently, we have to manage memory consistency with low overheads, and have to utilize communication bandwidth of the platform as much as possible. A software distributed shared memory (DSM) can solve these problems via proper support by an optimizing compiler. The optimizing compiler can detect shared write operations, using interprocedural points-to analysis. It also coalesces shared write commitments onto contiguous regions, and removes redundant write commitments, using interprocedural redundancy elimination. A page-based target software DSM system can utilize communication bandwidth, owing to coalescing optimization. We have implemented the above optimizing compiler and a runtime software DSM on AP1000+. We have obtained a high speed-up ratio with the SPLASH-2 benchmark suite. The result shows that using an optimizing compiler to assist a software DSM is a promising approach to obtain a good performance. It also shows that the appropriate protocol selection at a write commitment is an effective optimization.