Abstract
Two major trends in high-performance computing, namely, larger numbers of cores and the growing size of on-chip cache memory, are creating significant challenges for evaluating the design space of future processor architectures. Fast and scalable simulations are therefore needed to allow for sufficient exploration of large multi-core systems within a limited simulation time budget. By bringing together accurate high-abstraction analytical models with fast parallel simulation, architects can trade off accuracy with simulation speed to allow for longer application runs, covering a larger portion of the hardware design space. Interval simulation provides this balance between detailed cycle-accurate simulation and…
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820
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- 29.62
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Authors
3Topics & keywords
Topics
Keywords
- Computer science
- Scalability
- Multi-core processor
- Abstraction
- Parallel computing
- Design space exploration
- Cache
- Embedded system
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