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Design and Implementation of Optimized Register File for Streaming Applications
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems.ORCID iD: 0000-0002-5697-4272
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems, Electronic and embedded systems.ORCID iD: 0000-0003-2396-3590
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2021 (English)In: 2021 25th International Symposium on VLSI Design and Test, VDAT 2021, Institute of Electrical and Electronics Engineers (IEEE) , 2021Conference paper, Published paper (Refereed)
Abstract [en]

The increased demand for energy-efficient solutions compels system architects to explore the opportunities for minimizing area and power in the critical parts of a system. The register file is one such essential and critical component of any processor system that provides local storage for computing hardware such as arithmetic and logical unit. In this paper, we present an optimized design and implementation of a synthesizable register file that reduces the area and power consumption over an existing design. The proposed design is functionally equivalent to the existing design and uses latches in its core as main storage elements as opposed to the flip-flops; thus, reducing the area and power consumption. The proposed design has 10% less area and 23% less leakage power than the existing design when synthesized using a CMOS 45nm process libraries. Furthermore, the back-end implementation results show that the proposed design has 13% less core utilization and 2.3X less power. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021.
Keywords [en]
Hardware Accelerators, Processor Arrays, Reconfigurable Architectures, Register File, Electric power utilization, Energy efficiency, Flip flop circuits, Integrated circuit design, Reconfigurable hardware, Critical component, Design and implementations, Energy efficient, Power, Processor array, Processor systems, Register files, Streaming applications, System architects
National Category
Computer Engineering Psychiatry Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-313208DOI: 10.1109/VDAT53777.2021.9600984Scopus ID: 2-s2.0-85119972772OAI: oai:DiVA.org:kth-313208DiVA, id: diva2:1665885
Conference
25th International Symposium on VLSI Design and Test, VDAT 2021, 16 September 2021 through 18 September 2021
Note

Part of proceedings: ISBN 978-1-6654-1992-5 

QC 20220608

Available from: 2022-06-08 Created: 2022-06-08 Last updated: 2023-01-17Bibliographically approved

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Stathis, DimitriosYang, YuHemani, Ahmed

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