Asynchronous parallel MPSoC simulation on the Single-Chip Cloud Computer

The growing complexity of embedded applications currently causes a trend towards multi-core processors in the embedded domain. Time-consuming detailed simulations make the design of such systems increasingly sophisticated. In this work, applicability of Parallel Discrete Event Simulation (PDES) in t...

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Published in:2012 International Symposium on System on Chip (SoC) pp. 1 - 8
Main Authors: Roth, C., Reder, S., Erdogan, G., Sander, O., Almeida, G. M., Bucher, H., Becker, J.
Format: Conference Proceeding
Language:English
Published: IEEE 01-10-2012
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Abstract The growing complexity of embedded applications currently causes a trend towards multi-core processors in the embedded domain. Time-consuming detailed simulations make the design of such systems increasingly sophisticated. In this work, applicability of Parallel Discrete Event Simulation (PDES) in the context of cycle-accurate Multi-Processor System-on-Chip (MPSoC) simulation is investigated on the Single-chip Cloud Computer (SCC) from Intel. The presented strategy targets asynchronous parallel model execution where only adjacent model partitions need to synchronize with each other in order to advance in simulation time. Performance of the approach is evaluated by means of a scalable cycle-accurate MPSoC model called HeMPS. For a 8×8 RTL model measurements reveal a speedup versus sequential RTL simulation of 25.3×. When exchanging RTL processing elements by cycle-accurate simulators a speedup of 56.3× versus sequential RTL simulation is obtained. These results promise good suitability of the asynchronous strategy for detailed parallel MPSoC simulation on an architecture like the SCC.
AbstractList The growing complexity of embedded applications currently causes a trend towards multi-core processors in the embedded domain. Time-consuming detailed simulations make the design of such systems increasingly sophisticated. In this work, applicability of Parallel Discrete Event Simulation (PDES) in the context of cycle-accurate Multi-Processor System-on-Chip (MPSoC) simulation is investigated on the Single-chip Cloud Computer (SCC) from Intel. The presented strategy targets asynchronous parallel model execution where only adjacent model partitions need to synchronize with each other in order to advance in simulation time. Performance of the approach is evaluated by means of a scalable cycle-accurate MPSoC model called HeMPS. For a 8×8 RTL model measurements reveal a speedup versus sequential RTL simulation of 25.3×. When exchanging RTL processing elements by cycle-accurate simulators a speedup of 56.3× versus sequential RTL simulation is obtained. These results promise good suitability of the asynchronous strategy for detailed parallel MPSoC simulation on an architecture like the SCC.
Author Becker, J.
Roth, C.
Sander, O.
Erdogan, G.
Reder, S.
Bucher, H.
Almeida, G. M.
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  surname: Roth
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  givenname: J.
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  fullname: Becker, J.
  email: becker@kit.edu
  organization: Inst. for Inf. Process. Technol. (ITIV), Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
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Computer architecture
Computers
Kernel
Receivers
Synchronization
Tiles
Title Asynchronous parallel MPSoC simulation on the Single-Chip Cloud Computer
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