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NOCA - A Notification-Oriented Computer Architecture: Prototype and Simulator

delete2020-01-01
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R
Robson R. Linhares *
L
Leonardo Faix Pordeus
J
Jean Marcelo Simão
P
Paulo Cézar Stadzisz
DOI:10.1109/ACCESS.2020.2975360delete
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摘要

摘要

En 中文
The Notification Oriented Paradigm (NOP) introduced a new organization of software and hardware logic based on notifications among computational entities. This NOP new organization avoids processing redundancy and allows processing unit decoupling, therefore permitting proper processing performance and processing parallelism/distribution. Thus, the NOP provides means to make efficient use of the parallel execution capabilities of modern computing systems. However, as expected, the execution dynamics of NOP, based on notifications, is not efficiently performed by the hardware of most current computing systems. This paper presents a new solution called Notification-Oriented Computer Architecture (NOCA), which is suitable for the execution of software developed according to the NOP computing model. The NOCA was designed according to principles of generality and scalability, which allow it to execute NOP software of any size by fetching the application from memory. The proposed architecture is organized as a fine-grained multiprocessor that hierarchically executes instructions through sets of specialized processing cores. Preliminary experiments performed on prototypal FPGA implementation of the NOCA showed the expected behavior of executing NOP applications according to its theoretical computing model. This paper also presents experiments performed on a NOCA simulator extending the scale of parallelization of applications. Results show improvements in maximizing the speedups at higher scales of parallelization, as well as minimizing the effects of processor-to-memory communication bottlenecks by reducing the number of required memory accesses during execution.
Keyword:
Computer architecture
notification-oriented paradigm
parallel computer architecture
computing paradigm
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IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

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universidade tecnologica federal do parana
学者数:
4.9K
论文数: 3.4K
被引数: 1
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