Abstract

mainly because the cost of interprocessor communication is too great compared to computation and local memory accesses [74, 77]. To achieve high performance, COSMIC will perform communicationanalysis and apply optimizations for locality, synchronization, communication, and memory system effects. COSMIC follows two basic guidelines. First, it uses compilation techniques for message-passing machines to retain most of the benefits of explicit messages. Second, it exploits architectural and operating system support available in shared-memory multiprocessors to improve flexibility and performance. A novel characteristic of COSMIC will be its ability to take advantage of the multiple coherence protocols and hybrid message-passing support found in software Distributed-Shared-Memory (DSM) systems and Flexible-Shared-Memory (FSM) machines. To evaluate the impact on the performance on scientific applications, I will test COSM

Citations