With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor System-On-Chip (MPSoC) architectures have become widespread. These new systems are very complex to design as they must execute multiple complex real-time applications (e.g. video processing, or videogames), while meeting several additional design constraints (e.g. energy consumption or time-to-market). Therefore, mechanisms to efficiently explore the different possible HW-SW design interactions in complete MPSoC systems are in great need. In this paper, we present a new FPGA-based emulation framework that allows designers to rapidly explore a large range of MPSoC design alternatives at the cycle-accurate level. Our results show that the proposed framework is able to extract a number of critical statistics from processing cores, memory and interconnection systems, with a speed-up of three orders of magnitude compared to cycleaccurate MPSoC simulators.
P.G. Del Valle, D. Atienza, I. Magan, J.G. Flores, E.A. Perez, J.M. Mendias, et al. (2006). A Complete Multi-Processor System-on-Chip FPGA-Based Emulation Framework. s.l : s.n.
A Complete Multi-Processor System-on-Chip FPGA-Based Emulation Framework
BENINI, LUCA;
2006
Abstract
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor System-On-Chip (MPSoC) architectures have become widespread. These new systems are very complex to design as they must execute multiple complex real-time applications (e.g. video processing, or videogames), while meeting several additional design constraints (e.g. energy consumption or time-to-market). Therefore, mechanisms to efficiently explore the different possible HW-SW design interactions in complete MPSoC systems are in great need. In this paper, we present a new FPGA-based emulation framework that allows designers to rapidly explore a large range of MPSoC design alternatives at the cycle-accurate level. Our results show that the proposed framework is able to extract a number of critical statistics from processing cores, memory and interconnection systems, with a speed-up of three orders of magnitude compared to cycleaccurate MPSoC simulators.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.