Please use this identifier to cite or link to this item: http://drsr.daiict.ac.in//handle/123456789/1062
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorBhatt, Amit
dc.contributor.advisorParekh, Rutu
dc.contributor.authorGaurav, Tanya
dc.date.accessioned2022-05-06T13:11:15Z
dc.date.available2023-02-27T13:11:15Z
dc.date.issued2021
dc.identifier.citationGaurav, Tanya (2021). Design and Implementation of Low Power RISC V ISA based Processor and Coprocessor design for Matrix Multiplication. Dhirubhai Ambani Institute of Information and Communication Technology. viii, 45 p. (Acc.No: T00966)
dc.identifier.urihttp://drsr.daiict.ac.in//handle/123456789/1062
dc.description.abstractRISC V is an open-source ISA that is used to design the processor and the coprocessor architecture. For fulfilling the requirement of matrix multiplication, a low power and high-performance multiply and accumulate unit has been designed using modified booth multiplier and carry look-ahead adder. MAC coprocessors are commonly used in all AI/Machine learning, neural network and DSP applications. Development of the low power devices is another challenge. Leakage power plays a significant amount to power dissipation in the CMOS circuits. Power gating methodologies like level shifter cells, isolation cells etc. are applied to the logical circuit to reduce the leakage power of the device. The complete architecture is verified for the functionality as well as for the ASIC flow synthesis has been done for different library files. The low power analysis of design is performed through unified power format (UPF) file. The dynamic power reduces by 85.5% after using clock gating whereas the reduction in leakage power is observed to be 40 % .
dc.subjectMatrix multiplication
dc.subjectProcessor architecture
dc.subjectASIC flow synthesis
dc.subjectUnified power format
dc.subjectPower dissipation
dc.classification.ddc004.0151 GAU
dc.titleDesign and Implementation of Low Power RISC V ISA based Processor and Coprocessor design for Matrix Multiplication
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201911039
dc.accession.numberT00966
Appears in Collections:M Tech Dissertations

Files in This Item:
File Description SizeFormat 
201911039_Tanya Gaurav - Amit Bhatt.pdf
  Restricted Access
1.25 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.