An empirical comparison of the Kendall Square Research KSR-1 and Stanford DASH multiprocessors
- Stanford Univ., CA (United States). Computer Systems Lab.
Two interesting variants of large-scale shared-address-space parallel architectures are cache-coherent non-uniform-memory-access machines (CC-NUMA) and cache-only memory architectures (COMA). Both have distributed main memory and use directory-based cache coherence. While both architectures migrate and replicate data at the cache level automatically under hardware control, COMA machines do this at the main memory level as well. Previous work had discussed the general advantages and disadvantages of the two types of architectures, and presented results comparing the performance of small problems on simulated architectures of the two types. In this paper, the authors compare the parallel performance of a recent realization of each type of architecture-the Stanford DASH multiprocessor (CC-NUMA) and the Kendall Square Research KSR-1 (COMA). Using a suite of important computational kernels and complete scientific applications, they examine performance differences resulting both from the CC-NUMA/ICOMA nature of the machines as well as from specific differences in system implementation.
- OSTI ID:
- 46219
- Report Number(s):
- CONF-931115--
- Country of Publication:
- United States
- Language:
- English
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