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Software Assists to On-chip Memory Hierarchy of Manycore Embedded Systems

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서명/저자사항Software Assists to On-chip Memory Hierarchy of Manycore Embedded Systems.
개인저자Shoushtari, Abdolmajid Namaki.
단체저자명University of California, Irvine. Computer Science - Ph.D..
발행사항[S.l.]: University of California, Irvine., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항174 p.
기본자료 저록Dissertation Abstracts International 80-01B(E).
Dissertation Abstract International
ISBN9780438294721
학위논문주기Thesis (Ph.D.)--University of California, Irvine, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Nikil D. Dutt.
요약The growing computing demands of emerging application domains such as Recognition/Mining/Synthesis (RMS), visual computing, wearable devices and the Internet of Things (IoT) has driven the move towards manycore architectures to better manage tra
요약The memory hierarchy of manycore architectures has a major impact on their overall performance, energy efficiency and reliability. We identify three major problems that make traditional memory hierarchies unattractive for manycore architectures
요약This thesis argues that many of these inefficiencies are the result of software-agnostic hardware-managed memory hierarchies. Application semantics and behavior captured in software can be exploited to more efficiently manage the memory hierarch
요약We first present the required hardware and software support for a software-assisted memory hierarchy that is composed of distributed memories which can be partitioned between caches and software-programmable memories (SPMs) at runtime. This memo
요약Next, we augment caches and SPMs in this hierarchy with approximation support in order to improve the energy efficiency of the memory subsystem when running approximate programs. We present approximation techniques for major building blocks of o
요약We implemented all software and hardware components of the proposed software-assisted memory hierarchy in the gem5 architectural simulator. Our simulations on a mix of RMS and microbenchmarks show that our proposed techniques achieve better perf
일반주제명Computer science.
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