Conference paper
A Synthesizable Multicore Platform for Microwave Imaging
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.
Language: | English |
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Publisher: | Springer |
Year: | 2014 |
Pages: | 197-204 |
Proceedings: | 10th International Symposium on Reconfigurable Computing |
Series: | Lecture Notes in Computer Science |
ISBN: | 3319059599 , 3319059602 , 9783319059594 and 9783319059600 |
ISSN: | 03029743 |
Types: | Conference paper |
DOI: | 10.1007/978-3-319-05960-0_18 |
ORCIDs: | Karlsson, Sven |