Title :
Cache coherence using local knowledge
Author :
Darnell, Ervan ; Kennedy, Ken
Author_Institution :
Dept. Comput. Sci., Rice Univ., TX, USA
Abstract :
Typically, commercially available shared memory machines have addressed the cache coherence problem with hardware strategies based on global inter-cache communication. However, global communication limits scalability and efficiency. "Local knowledge" coherence strategies, which avoid global communication at run-time, offer better scalability, at the cost of some additional cache misses. The most effective local knowledge strategies described in the literature are those based on generation time-stamps (TS). The authors propose a new strategy, TS1, that requires less extra storage than TS, only one extra bit per cache line, and can produce more cache hits by exploiting sophisticated compiler analysis. TS1 handles common synchronization paradigms including DOALL, DOACROSS, and critical sections. Early results show TS1 is, worst case, slightly slower than TS. Best case, TS1\´s flexibility allows for significant improvements.
Keywords :
cache storage; program compilers; shared memory systems; synchronisation; DOACROSS; DOALL; TS1; cache coherence; cache hits; cache misses; common synchronization paradigms; compiler analysis; critical sections; efficiency; extra storage; generation time-stamps; global inter-cache communication; hardware strategies; local knowledge; scalability; shared memory machines; Cache storage; Computer science; Condition monitoring; Contracts; Costs; Global communication; Hardware; Large-scale systems; Runtime; Scalability;
Conference_Titel :
Supercomputing '93. Proceedings
Print_ISBN :
0-8186-4340-4
DOI :
10.1109/SUPERC.1993.1263526