As technology scales, Network-on-Chips (NoCs), currently being used for on-chip communication in manycore architectures, face several problems including high network latency, excessive power consumption, and low reliability. Simultaneously addressing these problems is proving to be difficult due to the explosion of the design space and the complexity of handling many trade-offs. In this paper, we propose IntelliNoC, an intelligent NoC design framework which introduces architectural innovations and uses reinforcement learning to manage the design complexity and simultaneously optimize performance, energy-efficiency, and reliability in a holistic manner. IntelliNoC integrates three NoC architectural techniques: (1) multifunction adaptive channels (MFACs) to improve energy-efficiency; (2) adaptive error detection/correction and re-transmission control to enhance reliability; and (3) a stress-relaxing bypass feature which dynamically powers off NoC components to prevent overheating and fatigue. To handle the complex dynamic interactions induced by these techniques, we train a dynamic control policy using Q-learning, with the goal of providing improved fault-tolerance and performance while reducing power consumption and area overhead. Simulation using PARSEC benchmarks shows that our proposed IntelliNoC design improves energy-efficiency by 67% and mean-time-to-failure (MTTF) by 77%, and decreases end-to-end packet latency by 32% and area requirements by 25% over baseline NoC architecture.
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Crosstalk Free Coding Systems to Protect NoC Channels against Crosstalk Faults
Reliability of modern multicore and many-core chips is tightly coupled with the reliability of their on-chip networks. Communication channels in current Network-on-Chips (NoCs) are extremely susceptible to crosstalk faults. In this work, we propose a set of rules for generating classes of crosstalk free coding systems to protect communication channels in NoCs against crosstalk faults. Codewords generated through these rules are free of '101' and '010' bit patterns, which are the main sources of crosstalk faults in NoC communication channels. The proposed rules determine: (1) the weights of different bit positions in a coding system to reach crosstalk free codings, and (2) how the coding might be utilized in an NoC to prevent crosstalk generating bit patterns in NoC channels. Using the proposed set of rules, designers can obtain coding systems which are crosstalk free for any widths of communication channels. Compared to conventional Forbidden Pattern Free (FPF) systems, the proposed methodology is able to provide unique representation to any input values at the lower bound of the codeword lengths. Analyses show that the proposed rules, along with the proposed encoding/decoding mechanisms, are effective in preventing forbidden pattern coding systems for network-on-chips of any arbitrary channel width.
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- Award ID(s):
- 1745808
- PAR ID:
- 10065459
- Date Published:
- Journal Name:
- 2017 IEEE 35th International Conference on Computer Design (ICCD)
- Page Range / eLocation ID:
- 385 to 390
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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