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Lookup NU author(s): Dr Farhad Merchant
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With the growing demands of consumer electronic products, the computational requirements are increasing exponentially. Due to the applications' computational needs, the computer architects are trying to pack as many cores as possible on a single die for accelerated execution of the application program codes. In a multiprocessor system-on-chip (MPSoC), striking a balance among the number of cores, memory subsystems, and network-on-chip parameters is essential to attain the desired performance. In this paper, we present ANDROMEDA, a RISC-V based framework that allows us to explore the different configurations of an MPSoC and observe the performance penalties and gains. We emulate the various configurations of MPSoC on the Synopsys HAPS-80D Dual FPGA platform. Using STREAM, matrix multiply, and N-body simulations as benchmarks, we demonstrate our framework's efficacy in quickly identifying the right parameters for efficient execution of these benchmarks.
Author(s): Merchant F, Sisejkovic D, Reimann LM, Yasotharan K, Grass T, Leupers R
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 34th International Conference on VLSI Design and 20th International Conference on Embedded Systems (VLSID 2021)
Year of Conference: 2021
Online publication date: 26/04/2021
Acceptance date: 01/09/2020
ISSN: 2380-6923
Publisher: IEEE
URL: https://doi.org/10.1109/VLSID51830.2021.00051
DOI: 10.1109/VLSID51830.2021.00051
Library holdings: Search Newcastle University Library for this item
ISBN: 9781665440875