EEL: machine-independent executable editing
PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
The latency-of-data-access model for analyzing parallel computation
Information Processing Letters - Special issue on parallel models
lmbench: portable tools for performance analysis
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
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Due to the increasing gap between processor speed and memory access time, a large fraction of a program's execution time is spent in accesses to the various levels in the memory hierarchy. Hence, cache-aware programming is of prime importance. For efficiently utilizing the memory subsystem, many architecture-specific characteristics must be taken into account: cache size, replacement strategy, access latency, number of memory levels, etc.In this paper, we present a simulator for the accurate performance prediction of sequential and parallel programs on shared memory systems. It assists the programmer in locating the critical parts of the code that have the greatest impact on the overall performance. Our simulator is based on the Latency-of-Data-Access Model, that focuses on the modeling of the access times to different memory levels.We describe the design of our simulator, its configuration and its usage in an example application.