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Application-Specific Software Defined Memory.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application-Specific Software Defined Memory./
Author:	Zhu, Chenzhuo.
Description:	1 online resource (92 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-09, Section: B.
Contained By:	Dissertations Abstracts International84-09B.
Subject:	Software upgrading. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30292290click for full text (PQDT)
ISBN:	9798374426199

Application-Specific Software Defined Memory.
Zhu, Chenzhuo.

Application-Specific Software Defined Memory. - 1 online resource (92 pages)

Source: Dissertations Abstracts International, Volume: 84-09, Section: B.

Thesis (Ph.D.)--Stanford University, 2022.

Includes bibliographical references

In the past three decades, the clock frequency of CPU processors has increased more than 10x. With the multi-core architecture, CPU processors continue to deliver more and more compute power each year. In contrast, the memory speed is limited by physical constraints and increasingly complicated system topology. Non-uniform memory access, or NUMA, in which one or more types of memory devices are distributed in the system, has become a new normal in today's data center.Non-uniform memory access effects often limit the performance of modern NUMA systems. Remote memory accesses have lower bandwidth and can be hundreds of nanoseconds to microseconds slower than local DRAM accesses. While many memory-intensive applications demonstrate diversified access patterns in both time and space, existing memory systems are hardwired and cannot optimize to application-specific memory access patterns.In this thesis, I will propose Software Defined Memory architecture (SDM), a novel memory system that allows the software to define application-specific policies for data placement and coherence for the critical subset of the data in a NUMA system. I will demonstrate the hardware design of SDM, and discuss the policy designs for application-specific data placement, data coherence, and software-defined memory access. The SDM design significantly improves the performance of HPC applications in a NUMA system, by 2.13x on average for investigated HPC applications, and generates 2.6x performance per dollar for critical database applications.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798374426199Subjects--Topical Terms:

3680542
Software upgrading.
Index Terms--Genre/Form:

542853
Electronic books.

Application-Specific Software Defined Memory.
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500 $a Source: Dissertations Abstracts International, Volume: 84-09, Section: B.
500 $a Advisor: Dally, William J.;Horowitz, Mark.
502 $a Thesis (Ph.D.)--Stanford University, 2022.
504 $a Includes bibliographical references
520 $a In the past three decades, the clock frequency of CPU processors has increased more than 10x. With the multi-core architecture, CPU processors continue to deliver more and more compute power each year. In contrast, the memory speed is limited by physical constraints and increasingly complicated system topology. Non-uniform memory access, or NUMA, in which one or more types of memory devices are distributed in the system, has become a new normal in today's data center.Non-uniform memory access effects often limit the performance of modern NUMA systems. Remote memory accesses have lower bandwidth and can be hundreds of nanoseconds to microseconds slower than local DRAM accesses. While many memory-intensive applications demonstrate diversified access patterns in both time and space, existing memory systems are hardwired and cannot optimize to application-specific memory access patterns.In this thesis, I will propose Software Defined Memory architecture (SDM), a novel memory system that allows the software to define application-specific policies for data placement and coherence for the critical subset of the data in a NUMA system. I will demonstrate the hardware design of SDM, and discuss the policy designs for application-specific data placement, data coherence, and software-defined memory access. The SDM design significantly improves the performance of HPC applications in a NUMA system, by 2.13x on average for investigated HPC applications, and generates 2.6x performance per dollar for critical database applications.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
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710 2 $a Stanford University. $3 754827
773 0 $t Dissertations Abstracts International $g 84-09B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30292290 $z click for full text (PQDT)