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Although multiple processors are theoretically faster than a single core, writing software that takes advantage of many processors a task called parallel programming is extremely difficult.
IBM expects hot water cooling to be central to future supercomputers, including three-dimensional chip architectures where multiple processors are stacked on top of each other.
This chapter focuses on systems in which multiple processors are used for distributed control of real-time events.
First, as its capability to be processed block by block means that it is suitable for parallel processing, improving the speed when multiple processors are used.
Performance results of the modified code on single and multiple processors are presented and compared with those provided by the original solver.
Indeed, as transistors have continued to shrink, rather than continuing to innovate, computer designers have simply adopted a so-called "multicore" approach, where multiple processors are added as more chip real estate became available.
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An important feature affecting the performance and characteristics of the architecture with an interconnection of multiple processors is its configuration design and scalability of the system.
In order to speed up the computation, an algorithmic framework for parallel SMC-PHD filtering based on multiple processors is proposed.
As a case study, a video codec application on multiple processors is modeled, evaluated, and explored.
With spikes in topics lasting in the order of minutes, the run time of an algorithm should be reduced as much as possible and the ability of the algorithm to utilize the hardware of multiple processors is highly desirable.
The speed-up, defined as the clock time for a run with one processor divided by the clock time for the same run on multiple processors, is shown in Figure 10(A).
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