loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 International Conference on Parallel Processing
Bank-aware Dynamic Cache Partitioning for Multicore Architectures
Vienna, Austria
September 22-September 25
ISBN: 978-0-7695-3802-0
As Chip-Multiprocessor systems (CMP) have become the predominant topology for leading microprocessors, critical components of the system are now integrated on a single chip. This enables sharing of computation resources that was not previously possible. In addition, the virtualization of these computational resources exposes the system to a mix of diverse and competing workloads. Cache is a resource of primary concern as it can be dominant in controlling overall throughput. In order to prevent destructive interference between divergent workloads, the last level of cache must be partitioned. In the past, many solutions have been proposed but most of them are assuming either simplified cache hierarchies with no realistic restrictions or complex cache schemes that are difficult to integrate in a real design. To address this problem, we propose a dynamic partitioning strategy based on realistic last level cache designs of CMP processors. We used a cycle accurate, full system simulator based on Simics and Gems to evaluate our partitioning scheme on an 8-core DNUCA CMP system. Results for an 8-core system show that our proposed scheme provides on average a 70% reduction in misses compared to non-partitioned shared caches, and a 25% misses reduction compared to static equally partitioned (private) caches.
Index Terms:
CMP, Multicore, Last-level Cache, Cache partitioning, NUCA, DNUCA
Citation:
Dimitris Kaseridis, Jeffrey Stuecheli, Lizy K. John, "Bank-aware Dynamic Cache Partitioning for Multicore Architectures," icpp, pp.18-25, 2009 International Conference on Parallel Processing, 2009
Usage of this product signifies your acceptance of the Terms of Use.