Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103095
Title: Architecture and application-aware management of complexity of mapping multiplication to FPGA DSP blocks in high level synthesis
Authors: Sinha, Sharad
Srikanthan, Thambipillai
Keywords: DRNTU::Engineering::Computer science and engineering::Theory of computation
Issue Date: 2014
Source: Sinha, S., & Srikanthan, T. (2014). Architecture and application-aware management of complexity of mapping multiplication to FPGA DSP blocks in high level synthesis. International journal of reconfigurable computing, 2014, 1-14.
Series/Report no.: International journal of reconfigurable computing
Abstract: Multiplication is a common operation in many applications and there exist various types of multiplication operations. Current high level synthesis (HLS) flows generally treat all multiplication operations equally and indistinguishable from each other leading to inefficient mapping to resources. This paper proposes algorithms for automatically identifying the different types of multiplication operations and investigates the ensemble of these different types of multiplication operations. This distinguishes it from previous works where mapping strategies for an individual type of multiplication operation have been investigated and the type of multiplication operation is assumed to be known a priori. A new cost model, independent of device and synthesis tools, for establishing priority among different types of multiplication operations for mapping to on-chip DSP blocks is also proposed. This cost model is used by a proposed analysis and priority ordering based mapping strategy targeted at making efficient use of hard DSP blocks on FPGAs while maximizing the operating frequency of designs. Results show that the proposed methodology could result in designs which were at least 2× faster in performance than those generated by commercial HLS tool: Vivado-HLS.
URI: https://hdl.handle.net/10356/103095
http://hdl.handle.net/10220/24439
DOI: 10.1155/2014/564924
Rights: © 2014 Sharad Sinha and Thambipillai Srikanthan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

Page view(s) 50

312
Updated on May 15, 2021

Download(s) 20

228
Updated on May 15, 2021

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.