ANDROMEDA: An FPGA Based RISC-V MPSoC Exploration Framework

TL;DR

ANDROMEDA is an FPGA-based framework for exploring and optimizing RISC-V MPSoC configurations, enabling rapid performance evaluation to balance cores, memory, and network parameters for diverse applications.

Contribution

It introduces a novel FPGA-based exploration framework for RISC-V MPSoC configurations, facilitating quick performance analysis and optimization.

Findings

Effective configuration exploration for MPSoC on FPGA

Demonstrated performance insights with benchmarks

Rapid identification of optimal parameters

Abstract

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.