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Adaptive and Intelligent Memory Systems

Aswinkumar Sridharan 1, 2
1 ALF - Amdahl's Law is Forever
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
2 PACAP - Pushing Architecture and Compilation for Application Performance
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
Abstract : This thesis focuses on addressing interference at the shared memory-hierarchy resources: last level cache and off-chip memory access in the context of large-scale multicore systems. Towards this end, the first work focused on shared last level caches, where the number of applications sharing the cache could exceed the associativity of the cache. To manage caches in such situations, our solution estimates the cache footprint of applications to approximate how well they could utilize the cache. Quantitative estimate of cache utility explicitly allows enforcing different priorities across applications. The second part brings in prefetch awareness in cache management. In particular, we observe prefetched cache blocks to exhibit good reuse behavior in the context of larger caches. Our third work focuses on addressing interference between on-demand and prefetch requests at the shared off-chip memory access. This work is based on two fundamental observations of the fraction of prefetch requests generated and its correlation with prefetch usefulness and prefetcher-caused interference. Altogether, two observations lead to control the flow of prefetch requests between LLC and off-chip memory.
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Submitted on : Friday, January 20, 2017 - 4:07:46 PM
Last modification on : Wednesday, November 3, 2021 - 8:07:54 AM
Long-term archiving on: : Friday, April 21, 2017 - 3:47:52 PM


  • HAL Id : tel-01442465, version 1


Aswinkumar Sridharan. Adaptive and Intelligent Memory Systems. Hardware Architecture [cs.AR]. INRIA Rennes - Bretagne Atlantique and University of Rennes 1, France, 2016. English. ⟨tel-01442465⟩



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