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2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (2015)
Vancouver, BC, Canada
May 2, 2015 to May 6, 2015
ISBN: 978-1-4799-9969-9
pp: 96
ABSTRACT
Architectural simulation is a fundamental tool for modern computing system design. Computer architects can choose from a large set of software simulators that provide a robust and efficient platform for design exploration although, if the new architecture incorporates unconventional or novel features not supported by the existing simulators, the designers must develop their own. As reconfigurable hardware platforms grow more computationally capable we observe a move from software simulators towards these hardware platforms. The introduction of high-level HDLs, such as Blue spec System Verilog (BSV), offers improved productivity while still providing a tool flow capable of exploiting reconfigurable platforms. This paper focuses on understanding how to accelerate the simulation of the interconnection network of SpiNNaker [1], a massively-parallel computer for neural simulation. We analysed the modelling choices and trade-offs made during the implementation of the software (SW) model as well as those made when developing a new hardware model (HW) built on a Xilinx FPGA.
INDEX TERMS
Computational modeling, Field programmable gate arrays, Software, Hardware, Load modeling, Analytical models, Accuracy
CITATION
Mohsen Ghasempour, Jonathan Heathcote, Javier Navaridas, Luis A. Plana, Jim Garside, Mikel Lujan, "Accelerating Interconnect Analysis Using High-Level HDLs and FPGA, SpiNNaker as a Case Study", 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), vol. 00, no. , pp. 96, 2015, doi:10.1109/FCCM.2015.47
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