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Streaming Matrix Transposition on FPGAs Using Distributed Memories
Linköpings universitet, Institutionen för systemteknik, Datorteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-5697-2122
Linköpings universitet, Institutionen för systemteknik, Datorteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-3470-3911
2023 (Engelska)Ingår i: Proceeding of the IEEE Nordic Circuits and Systems Conference (NorCAS), Aalborg, Denmark: Institute of Electrical and Electronics Engineers (IEEE), 2023Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Matrix transposition, the procedure of swapping rows and columns of a matrix, has applications in various signal processing applications, such as massive multiple-input multiple-output (MIMO) communication systems, data compression, and multidimensional fast Fourier transforms – which are used in MIMO radar systems. In low-latency high-throughput streaming applications, specialized circuits for matrix transposition are needed in order to perform transposition in real-time. This is in contrast to "slower" applications, where transposition can be adequately performed by storing a matrix in a shared memory and afterward reading it back in a transposed order. In this paper, a design procedure for streaming matrix transposition on field-programmable gate arrays (FPGAs) using distributed memories is presented. It is shown that significantly fewer FPGA resources are required for small- to medium-sized streaming matrix transpositions compared to recent related works.

Ort, förlag, år, upplaga, sidor
Aalborg, Denmark: Institute of Electrical and Electronics Engineers (IEEE), 2023.
Nyckelord [en]
streaming data processing, matrix transposition, linear arithmetic, interleaver, FPGA, distributed memories
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Datorteknik
Identifikatorer
URN: urn:nbn:se:liu:diva-199025DOI: 10.1109/NorCAS58970.2023.10305472ISI: 001103249500031ISBN: 9798350337570 (digital)ISBN: 9798350337587 (tryckt)OAI: oai:DiVA.org:liu-199025DiVA, id: diva2:1810365
Konferens
2023 IEEE Nordic Circuits and Systems Conference (NorCAS), Aalborg, Denmark, 31 October - 01 November 2023
Forskningsfinansiär
Stiftelsen för strategisk forskning (SSF)ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Anmärkning

Funding: Swedish Foundation for Strategic Research (SSF) [CHI19-0001]; Excellence Center at Linkoping-Lund in Information Technology (ELLIIT)

Tillgänglig från: 2023-11-07 Skapad: 2023-11-07 Senast uppdaterad: 2024-01-17Bibliografiskt granskad

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Henriksson, MikaelGustafsson, Oscar

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