Title: Tackling Diversity and Heterogeneity by Vertical Memory Management,
Abstract: Existing memory management mechanisms used in commodity computing machines
typically adopt hardware based address interleaving and OS directed random
memory allocation to service generic application requests. These conventional
memory management mechanisms are challenged by contention at multiple memory
levels, a daunting variety of workload behaviors, and an increasingly
complicated memory hierarchy. Our ISCA-41 paper proposes vertical partitioning
to eliminate shared resource contention at multiple levels in the memory
hierarchy. Combined with horizontal memory management policies, our framework
supports a flexible policy space for tackling diverse application needs in
production environment and is suitable for future heterogeneous memory systems.