DocumentCode :
188202
Title :
A Hardware MPI Spawn for Distributed Multiprocessing Reconfigurable System on Chip (MP-RSoC)
Author :
Christian, Gamom Ngounou Ewo R. ; Andrea, Pinna ; Bertrand, Granado ; Martin, Mbouenda ; Bertrand, Fotsin H.
Author_Institution :
EEAT, Univ. de Douala, Douala, Cameroon
fYear :
2014
fDate :
11-13 May 2014
Firstpage :
238
Lastpage :
238
Abstract :
This abstract describes MPI-HCL, a hardware middleware for VHDL designers of scalable Multi processing reconfigurable System on Chip (MP-RSoC) using distributed memory paradigm. Some tools, like Planahead or Goahead [1] help to integrate dynamic reconfiguration inside MP-RSoC design but the conception phase of the MP-RSoC is separated from the deployment phase and it is very painful for designers to handle hundreds of hardware tasks and interconnect them properly. Some engineers and researchers proposed hardware operating systems denoted as HW OS [2] to manage deployment of hardware tasks in reconfigurable FPGA but HW-OS requirements adds constraints on hardware tasks. With our platform, heterogenous hardware tasks are modeled as MPI processes, and are compliant with MPI2 standard described in [3]. MPI relies on message passing to exchange data between hardware tasks and this paradigm is known to scale well in multiprocessing architecture.
Keywords :
field programmable gate arrays; hardware description languages; middleware; reconfigurable architectures; system-on-chip; Goahead; HW-OS requirements; MP-RSoC; MPI-HCL; MPI2 standard; Planahead; VHDL designers; distributed memory paradigm; distributed multiprocessing reconfigurable system on chip; dynamic reconfiguration; hardware MPI spawn; hardware middleware; hardware operating systems; heterogenous hardware tasks; reconfigurable FPGA; Abstracts; Computer architecture; Field programmable gate arrays; Hardware; Laboratories; Standards; System-on-chip; FPGA; MP-RSoC; MPI; RMA; Spawn; deployment tool; hardware task;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field-Programmable Custom Computing Machines (FCCM), 2014 IEEE 22nd Annual International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4799-5110-9
Type :
conf
DOI :
10.1109/FCCM.2014.73
Filename :
6861635
Link To Document :
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