Reduced-Precision Acceleration of Radio-Astronomical Imaging on Reconfigurable Hardware

Author:

Corda Stefano1ORCID,Veenboer Bram2ORCID,Awan Ahsan Javed3ORCID,Romein John W.2ORCID,Jordans Roel1,Kumar Akash4ORCID,Boonstra Albert-Jan2,Corporaal Henk1ORCID

Affiliation:

1. Electronic Systems Group, Eindhoven University of Technology, Eindhoven, The Netherlands

2. Netherlands Institute for Radio Astronomy (ASTRON), Dwingeloo, The Netherlands

3. Department of Cloud System and Platforms, Ericsson Research, Stockholm, Sweden

4. Chair of Processor Design, CFAED, Technische Universität (TU) Dresden, Dresden, Germany

Funder

European Commission by the Horizon 2020 Program for the Project “Near-Memory Computing (NeMeCo)” through the Marie Sklodowska-Curie Innovative Training Networks European Industrial Doctorate

Open transPREcision COMPuting (OPRECOMP) Summer of Code 2020

European Network on High Performance and Embedded Architecture and Compilation (HiPEAC) Collaboration Grant

Xilinx Donation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference107 articles.

1. IEEE Standard for Binary Floating-Point Arithmetic

2. Increasing double precision throughput on NVIDIA Maxwell GPUs;polok;Proc 24th High Perform Comput Symp,2016

3. Relaxing the isoplanatism assumption in self-calibration; applications to low-frequency radio interferometry

4. An efficient implementation of the algorithm ‘CLEAN’;clark;Astron Astrophys,1980

5. Aperture synthesis with a non-regular distribution of interferometer baselines;högbom;Astron Astrophys Ser,1974

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