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51.
  • Ejaz, Ahsen, et al. (författare)
  • Costs and benefits of flexibility in spatial division Circuit Switched Networks-on-Chip
  • 2013
  • Ingår i: NoCArc '13 Proceedings of the Sixth International Workshop on Network on Chip Architectures. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450323703 ; , s. 41-46
  • Konferensbidrag (refereegranskat)abstract
    • Although most Network-on-Chip (NoC) designs are based on Packet Switching (PS), the importance of Circuit Switching (CS) should not be underestimated. Many MPSoC executing real-time applications require an underlying communication backbone that can relay messages from one node to another with guaranteed throughput. Compared to PS, CS can provide guaranteed throughput with lower area and power overheads. It is also highly suited for applications where nodes transfer long messages. Spatial Division Multiplexing (SDM) can allow more efficient use of available network resources by dividing them among multiple simultaneous transactions. The network developed by Vali [1] has three design variations based on the number of sub-channels, has a predictable connection setup time, and uses CS to provide guaranteed throughput once a connection is established. In this paper we use this network as a basis to study the effect of flexibility based on SDM, on the performance of a CS networks. A network evaluation platform has been developed to configure and evaluate networks with a maximum of 8 sub-networks, with each sub-network comprising of 1, 2 or 4 sub-channels. We show that under uniform traffic pattern with requests of uniform random bandwidth (BW) requirement, a less flexible network outperforms a network with higher flexibility due to a phenomenon we call 'stray requests'. We conclude this paper by showing that under high network traffic, performance of our flexible networks can be as much as 113% better than HAGAR [2] and Liu's [3] network. Co
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55.
  • Ellervee, Peeter, et al. (författare)
  • Exploring ASIC Design Space at System Level with a Neural Network Estimator
  • 1994
  • Ingår i: Proc. of IEEE ASIC-conference, 1994.
  • Konferensbidrag (refereegranskat)abstract
    • Estimators are critical tools in doing architectural level exploration of the design space. We present a novel approach to estimation based on the multilayer perceptron which builds the estimation function during the learning process and thus allows to describe arbitrary complex functions. We also describe how the control data flow graph is encoded for the neural network input and we present results of the first experiments made with realistic design examples.
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60.
  • Eslami Kiasari, Abbas, et al. (författare)
  • A Framework for Designing Congestion-Aware Deterministic Routing
  • 2010
  • Ingår i: NoCArc '10 Proceedings of the Third International Workshop on Network on Chip Architectures. - New York, NY, USA : ACM. - 9781450303972 ; , s. 45-50
  • Konferensbidrag (refereegranskat)abstract
    • In this paper, we present a system-level Congestion-Aware Routing (CAR) framework for designing minimal deterministic routing algorithms. CAR exploits the peculiarities of the application workload to spread the load evenly across the network. To this end, we first formulate an optimization problem of minimizing the level of congestion in the network and then use the simulated annealing heuristic to solve this problem. The proposed framework assures deadlock-free routing, even in the networks without virtual channels. Experiments with both synthetic and realistic workloads show the effectiveness of the CAR framework. Results show that maximum sustainable throughput of the network is improved by up to 205% for different applications and architectures.
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