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Extending Temporal-Vector Microarchitectures for Two-Dimensional Computations- [electronic resource]
Extending Temporal-Vector Microarchitectures for Two-Dimensional Computations- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214095853
- ISBN
- 9798380621304
- DDC
- 004
- 저자명
- Schmidt, Colin.
- 서명/저자
- Extending Temporal-Vector Microarchitectures for Two-Dimensional Computations - [electronic resource]
- 발행사항
- [S.l.]: : University of California, Berkeley., 2021
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2021
- 형태사항
- 1 online resource(129 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
- 주기사항
- Advisor: Asanovic, Krste.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Modern computing is shaped by technology trends, like a slowing Moore's law and lack of Dennard scaling, as well as application trends, like mass application of machine learning. Technology has constrained modern computer architectures to focus on energy-efficiency in order to improve, battery life, total cost of ownership, and even performance. Emerging deep-learning applications require computation volumes that increase exponentially and yet change in structure substantially every few years. One solution for both of these problems is specialized programmable architectures, that can adapt to new applications while specializing for the commonalities, and thus improving energy-efficiency.This thesis presents a set of two-dimensional architecture extensions for Hwacha an existing vector-fetch architecture designed to improve energy-efficiency on two-dimensional computation while remaining fully programmable. This thesis discusses the constraints modern CMOS process technologies place on such an architecture, and describes several silicon implementations of similar architectures. Finally, this thesis presents the physical implementation of such extensions and their realized energy-efficiency gains on select applications.
- 일반주제명
- Computer science.
- 일반주제명
- Computer engineering.
- 키워드
- Modern computing
- 기타저자
- University of California, Berkeley Computer Science
- 기본자료저록
- Dissertations Abstracts International. 85-04B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214095853
■006m o d
■007cr#unu||||||||
■020 ▼a9798380621304
■035 ▼a(MiAaPQ)AAI28717624
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aSchmidt, Colin.
■24510▼aExtending Temporal-Vector Microarchitectures for Two-Dimensional Computations▼h[electronic resource]
■260 ▼a[S.l.]:▼bUniversity of California, Berkeley. ▼c2021
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2021
■300 ▼a1 online resource(129 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-04, Section: B.
■500 ▼aAdvisor: Asanovic, Krste.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aModern computing is shaped by technology trends, like a slowing Moore's law and lack of Dennard scaling, as well as application trends, like mass application of machine learning. Technology has constrained modern computer architectures to focus on energy-efficiency in order to improve, battery life, total cost of ownership, and even performance. Emerging deep-learning applications require computation volumes that increase exponentially and yet change in structure substantially every few years. One solution for both of these problems is specialized programmable architectures, that can adapt to new applications while specializing for the commonalities, and thus improving energy-efficiency.This thesis presents a set of two-dimensional architecture extensions for Hwacha an existing vector-fetch architecture designed to improve energy-efficiency on two-dimensional computation while remaining fully programmable. This thesis discusses the constraints modern CMOS process technologies place on such an architecture, and describes several silicon implementations of similar architectures. Finally, this thesis presents the physical implementation of such extensions and their realized energy-efficiency gains on select applications.
■590 ▼aSchool code: 0028.
■650 4▼aComputer science.
■650 4▼aComputer engineering.
■653 ▼aModern computing
■653 ▼aEnergy-efficiency
■653 ▼aTwo-dimensional computations
■690 ▼a0984
■690 ▼a0464
■71020▼aUniversity of California, Berkeley▼bComputer Science.
■7730 ▼tDissertations Abstracts International▼g85-04B.
■773 ▼tDissertation Abstract International
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931008▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
