A Synthesizable Multicore Platform for Microwave Imaging

Pascal Schleuniger, Sven Karlsson

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Active microwave imaging techniques such as radar and tomography are used in a wide range of medical, industrial, scientific, and military applications. Microwave imaging devices emit radio waves and process their reflections to reconstruct an image. However, data processing remains a challenge as image reconstruction algorithms are computationally expensive and many applications come with strictly constrained mechanical or power requirements. We developed Tinuso, a multicore architecture optimized for performance when implemented on an FPGA. Tinuso’s architecture is well suited to run highly parallel image reconstruction applications at a low power budget. In this paper, we describe the design and the implementation of Tinuso’s communication structures, which include a generic 2D mesh on-chip interconnect and a network interface to the processor pipeline. We optimize the network for a latency of one cycle per network hop and attain a high clock frequency by pipelining the feedback loop to manage contention. We implement a multicore configuration with 48 cores and achieve a clock frequency as high as 300 MHz with a peak switching data rate of 9.6 Gbits/s per link on state-of-the-art FPGAs.
Original languageEnglish
Title of host publicationReconfigurable Computing: Architectures, Tools, and Applications. Proceedings
Publication date2014
ISBN (Print)978-3-319-05959-4
ISBN (Electronic) 978-3-319-05960-0
Publication statusPublished - 2014
Event10th International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications - Vilamoura, Algarve, Portugal
Duration: 14 Apr 201416 Apr 2014
Conference number: 10


Conference10th International Symposium on Reconfigurable Computing
Internet address
SeriesLecture Notes in Computer Science


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