Supporting Task Migration in Multi-Processor Systems-on-Chip: A Feasibility Study

Task migration has a great consideration is MPSoC design and implementation of embedded systems in order to improve performance related to optimizing execution time or reducing energy consumption. Multi-Processor Systems-on-Chip (MPSoC) are now the leading hardware platform featured in embedded systems. This chapter deals with the impact of task migration as an alternative to meet performance constraints in the design flow. The authors explain the different levels of the design process and propose a methodology to master the migration process at transaction level. This methodology uses some open source tools like SDF3 modified to provide performance estimation at transaction level. These results help the designer to choose the best hardware model in replacement of the previous software implementation of the task object of migration. Using the SDF3 tool, the authors model a multimedia application using SDF graphs. Secondly, they target an MPSoC platform. The authors take a performance constraint to achieve 25 frames per second.

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MiGra: A Task Migration Algorithm for Reducing Temperature Gradient in Multiprocessor Systems on Chip

2007 International Symposium on System-on-Chip ◽

10.1109/issoc.2007.4427441 ◽

2007 ◽

Cited By ~ 2

Author(s):

Salvatore Carta ◽

Fabio Mereu ◽

Andrea Acquaviva ◽

Giovanni de Micheli

Keyword(s):

Temperature Gradient ◽

Multiprocessor Systems ◽

Task Migration ◽

Systems On Chip ◽

On Chip

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Effective Memory Architectures of Multi-Processor Systems-on-Chip

Recent Patents on Electrical Engineering ◽

10.2174/1874476111003030218 ◽

2010 ◽

Vol 3 (3) ◽

pp. 218-231

Author(s):

Ni Zhou ◽

Fei Qiao ◽

Huazhong Yang ◽

Hui Wang

Keyword(s):

Systems On Chip ◽

On Chip ◽

Memory Architectures

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МЕТОДЫ ДОСТИЖЕНИЯ МАКСИМАЛЬНОЙ ЭФФЕКТИВНОСТИ ПЛАТФОРМЫ ПРОТОТИПИРОВАНИЯ ВЫСОКОПРОИЗВОДИТЕЛЬНЫХ СИСТЕМ НА КРИСТАЛЛЕ НА ЗАДАЧАХ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

Nanoindustry Russia ◽

10.22184/1993-8578.2020.13.3s.585.588 ◽

2020 ◽

Vol 96 (3s) ◽

pp. 585-588

Author(s):

С.Е. Фролова ◽

Е.С. Янакова

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Computer Vision ◽

High Performance ◽

Systems On Chip ◽

High Performance Systems ◽

On Chip ◽

Network Technologies ◽

Neural Network Technologies

Предлагаются методы построения платформ прототипирования высокопроизводительных систем на кристалле для задач искусственного интеллекта. Изложены требования к платформам подобного класса и принципы изменения проекта СнК для имплементации в прототип. Рассматриваются методы отладки проектов на платформе прототипирования. Приведены результаты работ алгоритмов компьютерного зрения с использованием нейросетевых технологий на FPGA-прототипе семантических ядер ELcore. Methods have been proposed for building prototyping platforms for high-performance systems-on-chip for artificial intelligence tasks. The requirements for platforms of this class and the principles for changing the design of the SoC for implementation in the prototype have been described as well as methods of debugging projects on the prototyping platform. The results of the work of computer vision algorithms using neural network technologies on the FPGA prototype of the ELcore semantic cores have been presented.

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A Survey of Software-Defined Networks-on-Chip: Motivations, Challenges and Opportunities

Micromachines ◽

10.3390/mi12020183 ◽

2021 ◽

Vol 12 (2) ◽

pp. 183

Author(s):

Jose Ricardo Gomez-Rodriguez ◽

Remberto Sandoval-Arechiga ◽

Salvador Ibarra-Delgado ◽

Viktor Ivan Rodriguez-Abdala ◽

Jose Luis Vazquez-Avila ◽

...

Keyword(s):

Single Chip ◽

Synthesis Time ◽

Networks On Chip ◽

Data Dependencies ◽

Layered Architecture ◽

Systems On Chip ◽

Challenges And Opportunities ◽

Computing Platforms ◽

On Chip ◽

Many Core

Current computing platforms encourage the integration of thousands of processing cores, and their interconnections, into a single chip. Mobile smartphones, IoT, embedded devices, desktops, and data centers use Many-Core Systems-on-Chip (SoCs) to exploit their compute power and parallelism to meet the dynamic workload requirements. Networks-on-Chip (NoCs) lead to scalable connectivity for diverse applications with distinct traffic patterns and data dependencies. However, when the system executes various applications in traditional NoCs—optimized and fixed at synthesis time—the interconnection nonconformity with the different applications’ requirements generates limitations in the performance. In the literature, NoC designs embraced the Software-Defined Networking (SDN) strategy to evolve into an adaptable interconnection solution for future chips. However, the works surveyed implement a partial Software-Defined Network-on-Chip (SDNoC) approach, leaving aside the SDN layered architecture that brings interoperability in conventional networking. This paper explores the SDNoC literature and classifies it regarding the desired SDN features that each work presents. Then, we described the challenges and opportunities detected from the literature survey. Moreover, we explain the motivation for an SDNoC approach, and we expose both SDN and SDNoC concepts and architectures. We observe that works in the literature employed an uncomplete layered SDNoC approach. This fact creates various fertile areas in the SDNoC architecture where researchers may contribute to Many-Core SoCs designs.

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