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Workload Characterization and Locality Management for Coarse-Grain Multiprocessors (1994)
| Content Provider | CiteSeerX |
|---|---|
| Author | Connelly, Christopher Ellis, Carla Schlatter |
| Abstract | Scalable shared memory multiprocessors commonly employ replication and the associated coherency maintenance of memory blocks, but differ in the granularity from fine-grain (cache-coherent multiprocessors) to coarse-grain (page-based distributed shared memory systems). Regardless of the size of coherency blocks, attaining good performance may depend on the number of copies staying small. Previous workload characterization studies of fine-grain systems have shown sharing patterns that tend toward small worker sets (set of processors sharing a block). Coarse-grain architectures offer scalability advantages unless the sharing patterns for larger coherency blocks are considerably less favorable. This is the question we address in this paper. Our results are encouraging in that, despite the coarse granularity, worker sets scale reasonably. |
| File Format | |
| Language | English |
| Publisher Date | 1994-01-01 |
| Access Restriction | Open |
| Subject Keyword | Coarse-grain Multiprocessor Locality Management Workload Characterization Coherency Block Shared Memory System Coarse Granularity Cache-coherent Multiprocessor Worker Set Associated Coherency Maintenance Memory Block Good Performance Fine-grain System Sharing Pattern Small Worker Set Previous Workload Characterization Study Scalability Advantage Memory Multiprocessor Coarse-grain Architecture |
| Content Type | Text |
| Resource Type | Technical Report |
