| 1. |
- Eslami Kiasari, Abbas, et al.
(författare)
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A Heuristic Framework for Designing and Exploring Deterministic Routing Algorithm for NoCs
- 2013
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Ingår i: Algorithms in Networks-on-Chip. - New York, NY : Springer. - 9781461482734 ; , s. 21-39
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Bokkapitel (refereegranskat)abstract
- In this chapter, we present a system-level framework for designing minimal deterministic routing algorithms for Networks-on-Chip (NoCs) that are customized for a set of applications. To this end, we first formulate an optimization problem of minimizing average packet latency in the network and then use the simulated annealing heuristic to solve this problem. To estimate the average packet latency we use a queueing-based analytical model which can capture the burstiness of the traffic. The proposed framework does not require virtual channels to guarantee deadlock freedom since routes are extracted from an acyclic channel dependency graph. Experiments with both synthetic and realistic workloads show the effectiveness of the approach. Results show that maximum sustainable throughput of the network is improved for different applications and architectures.
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| 2. |
- Jantsch, Axel, et al.
(författare)
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Memory Architecture and Management in an NoC Platform
- 2011. - 1
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Ingår i: Scalable Multi-core Architectures. - New York, NY : Springer. - 9781441967770 ; , s. 3-28
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Bokkapitel (refereegranskat)abstract
- The memory organization and the management of the memory space is a critical part of every NoC based platform design. We propose a Data Management Engine (DME), that is a block of programmable hardware and part of every processing element. It off-loads the processing element (CPU, DSP, etc.) by managing the memory space, memory access and the communication over the on-chip network. The DME’s main functions are virtual address translation, private and shared memory management, cache coherence protocol, support for memory consistency models, synchronization and protection mechanisms for shared memory communication. The DME is fully programmable and configurable thus allowing for customized support for high level data management functions such as dynamic memory allocation and abstract data types. This chapter describes the main concepts, design and functionality of the DME and presents case studies illustrating its usage and performance.
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