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Approche efficace pour la conception des architectures multiprocesseurs sur puceélectronique
| Content Provider | Semantic Scholar |
|---|---|
| Author | Elie, Etienne |
| Copyright Year | 2011 |
| Abstract | On-Chip Multiprocessor (OCM) systems are considered to be the best structures to occupy the abundant space available on today integrated circuits (IC). In our thesis, we are interested on an architectural model, called Isometric on-Chip Multiprocessor Architecture (ICMA), that optimizes the OCM systems by focusing on an effective organization of cores (processors and memories) and on methodologies that optimize the use of these architectures. In the first part of this work, we study the topology of ICMA and propose an architecture that enables efficient and massive use of on-chip memories. ICMA organizes processors and memories in an isometric structure with the objective to get processed data close to the processors that use them rather than to optimize transfers between processors and memories, arranged in a conventional manner. ICMA is a mesh model in three dimensions. The organization of our architecture is inspired by the crystal structure of sodium chloride (NaCl), where each processor can access six different memories and where each memory can communicate with six processors at once. In the second part of our work, we focus on a methodology of decomposition. This methodology is used to find the optimal number of nodes for a given application or specification. The approach we use is to transform an application or a specification into an incidence matrix, where the entries of this matrix are the interactions between processors and memories as entries. In other words, knowing that the performance of a model depends on the intensity of the data flow exchanged between its units, namely their number, we aim to guarantee a good computing performance by finding the optimal number of processors and memories that are suitable for the application computation. We also consider the load balancing of the units of ICMA during the specification phase of the design. Our proposed decomposition is on three points: the transformation of the specification or application into an incidence matrix, a new methodology based on the Cell Formation Problem (CFP), and load balancing processes in the processors and data in memories. In the third part, we focus on the allocation of processor and memory by a two-step |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://papyrus.bib.umontreal.ca/xmlui/bitstream/handle/1866/6841/Elie_Etienne_2010_these.pdf;jsessionid=ECEA27CF32958281F4F2E6022D88186F?sequence=4 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
