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An efficient diagnosis is very important for a multiprocessor system.
For a multiprocessor system, diagnosability is critical to measure its performance.
The ability of identifying all the faulty devices in a multiprocessor system is known as diagnosability.
In a multiprocessor system there is no question as to which processor is maintaining the simulated clock (and no problem of separately maintained and potentially unsynchronized clocks).
In a multiprocessor system which exhibits interference on access to primary memory, it permits a load-independent measure of cpu usage, for accounting purposes.
This paper presents a new approach of using the field programmable gate array (FPGA) as a multiprocessor system on a chip (MPSoC) to maximize the PV system performance.
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As the impact of the communication architecture on performance grows in a Multiprocessor System-on-Chip (MPSoC) design, the need for performance analysis in the early stage in order to consider various communication architectures is also increasing.
We show that by statically considering statistical effects of random and systematic process variation on performance and power consumption of a Multiprocessor System-on-Chip (MPSoC), significant power improvement can be achieved by static software-level optimizations such as task and communication scheduling.
A multiprocessor systems-on-chip (MPSoC) is a system-on-chip (SoC) that contains multiple instruction-set processors (CPUs).
This case study presents UML-based design and implementation of a wireless video terminal on a multiprocessor system-on-chip (SoC).
This chapter focuses on the optimization of the memory performance of an multiprocessor systems-on-chips MPSoC-based system.
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