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IEEE Transactions on Computers
Article . 2021 . Peer-reviewed
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OmpSs@FPGA framework for high performance FPGA computing

Authors: Haro Ruiz, Juan Miguel de; Bosch Pons, Jaume; Filgueras Izquierdo, Antonio; Vidal, Miquel; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier; +2 Authors

OmpSs@FPGA framework for high performance FPGA computing

Abstract

This paper presents the new features of the OmpSs@FPGA framework. OmpSs is a data-flow programming model that supports task nesting and dependencies to target asynchronous parallelism and heterogeneity. OmpSs@FPGA is the extension of the programming model addressed specifically to FPGAs. OmpSs environment is built on top of Mercurium source to source compiler and Nanos++ runtime system. To address FPGA specifics Mercurium compiler implements several FPGA related features as local variable caching, wide memory accesses or accelerator replication. In addition, part of the Nanos++ runtime has been ported to hardware. Driven by the compiler this new hardware runtime adds new features to FPGA codes, such as task creation and dependence management, providing both performance increases and ease of programming. To demonstrate these new capabilities, different high performance benchmarks have been evaluated over different FPGA platforms using the OmpSs programming model. The results demonstrate that programs that use the OmpSs programming model achieve very competitive performance with low to moderate porting effort compared to other FPGA implementations. This work has received funding from EuroEXA project (European Union’s Horizon 2020 Research and Innovation Programme, under grant agreement No 754337), from Spanish Government (projects PID2019-107255GB and SEV-2015- 0493, grant BES-2016-078046), and Generalitat de Catalunya (contracts 2017-SGR-1414 and 2017-SGR-1328). Peer Reviewed

Country
Spain
Keywords

Matrius de portes programables per l'usuari, Parallel processing (Electronic computers), Task-based programming models, Processament en paral·lel (Ordinadors), Compiladors (Programes d'ordinador), Field programmable gate arrays, Reconfigurable hardware, Parallel architectures, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, High-level synthesis, :Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC], FPGA, Compilers (Computer programs)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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11
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