Exploiting Software Information for an Efficient Memory Hierarchy
EXPLOITING SOFTWARE INFORMATION FOR AN EFFICIENT MEMORY HIERARCHY BY RAKESH KOMURAVELLI DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate College of the University of Illinois at Urbana-Champaign, 2014 Urbana, Illinois Doctoral Committee: Professor Sarita V. Adve, Director of Research Professor Marc Snir, Chair Professor Vikram S. Adve Professor Wen-mei W. Hwu Dr. Ravi Iyer, Intel Labs Dr. Gilles Pokam, Intel Labs Dr. Pablo Montesinos, Qualcomm Research ABSTRACT Power consumption is one of the most important factors in the design of today’s processor chips. Multicore and heterogeneous systems have emerged to address the rising power concerns. Since the memory hierarchy is becoming one of the major consumers of the on-chip power budget in these systems [73], designing an efficient memory hierarchy is critical to future systems. We identify three sources of inefficiencies in memory hierarchies of today’s systems: (a) coherence, (b) data communication, and (c) data storage. This thesis takes the stand that many of these inefficiencies are a result of today’s software-agnostic hardware design. There is a lot of information in the software that can be exploited to build an efficient memory hierarchy. This thesis focuses on identifying some of the inefficiencies related to each of the above three sources, and proposing various techniques to mitigate them by exploiting information from the software. First, we focus on inefficiencies related to coherence and communication. Today’s hardware based direc- tory coherence protocols are extremely complex and incur unnecessary overheads for sending invalidation messages and maintaining sharer lists.
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