Effective Cache Apportioning for Performance Isolation Under Compiler Guidance Bodhisatwa Chatterjee Sharjeel Khan Georgia Institute of Technology Georgia Institute of Technology Atlanta, USA Atlanta, USA
[email protected] [email protected] Santosh Pande Georgia Institute of Technology Atlanta, USA
[email protected] Abstract cache partitioning to divide the LLC among the co-executing With a growing number of cores per socket in modern data- applications in the system. Ideally, a cache partitioning centers where multi-tenancy of a diverse set of applications scheme obtains overall gains in system performance by pro- must be efficiently supported, effective sharing of the last viding a dedicated region of cache memory to high-priority level cache is a very important problem. This is challenging cache-intensive applications and ensures security against because modern workloads exhibit dynamic phase behaviour cache-sharing attacks by the notion of isolated execution in - their cache requirements & sensitivity vary across different an otherwise shared LLC. Apart from achieving superior execution points. To tackle this problem, we propose Com- application performance and improving system throughput CAS, a compiler guided cache apportioning system that pro- [7, 20, 31], cache partitioning can also serve a variety of pur- vides smart cache allocation to co-executing applications in a poses - improving system power and energy consumption system. The front-end of Com-CAS is primarily a compiler- [6, 23], ensuring fairness in resource allocation [26, 36] and framework equipped with learning mechanisms to predict even enabling worst case execution-time analysis of real-time cache requirements, while the backend consists of allocation systems [18].