Energy and buffer aware application mapping for networks on chip

---

Tezin Türü: Doktora

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2013

Öğrenci: COŞKUN ÇELİK

Danışman: CÜNEYT FEHMİ BAZLAMAÇCI

Özet:

Network-on-Chip (NoC) is a developing and promising on-chip communication paradigm that improves scalability and performance of System-on-Chips. NoC design flow contains many problems from different areas, for example networking, embedded design and computer architecture. Application mapping is one of these problems, which is generally considered as a communication energy minimization problem. This dissertation approaches to this problem from a networking point of view and tries to find a mapping solution which improves the network performance in terms of the number of packets in the buffers while still minimizing the total communication energy consumption. For this purpose an on-chip network traffic model is required. Self similarity is a traffic model that is used to characterize Ethernet and/or wide area network traffic, as well as most of on-chip network traffic. In this thesis, by using an on-chip traffic characterization that contains self similarity, an application mapping problem definition that contains both energy and buffer utilization concerns is proposed. In order to solve this intractable problem a genetic algorithm based model is implemented. Execution of the algorithm on different test cases has proved that such a mapping formulation avoids high buffer utilizations while still keeping the communication energy low.