| 1. |
- Jafri, Syed Mohammad Asad Hassan, et al.
(författare)
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Energy-Aware Fault-Tolerant Network-on-Chips for Addressing Multiple Traffic Classes
- 2012
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Ingår i: Proceedings. - 9781467324984 ; , s. 242-249
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Konferensbidrag (refereegranskat)abstract
- This paper presents an energy efficient architectureto provide on-demand fault tolerance to multiple traffic classes,running simultaneously on single network on chip (NoC) platform.Today, NoCs host multiple traffic classes with potentiallydifferent reliability needs. Providing platform-wide worst-case(maximum) protection to all the classes is neither optimal nordesirable. To reduce the overheads incurred by fault tolerance,various adaptive strategies have been proposed. The proposedtechniques rely on individual packet fields and operating conditionsto adjust the intensity and hence the overhead of faulttolerance. Presence of multiple traffic classes undermines theeffectiveness of these methods. To complement the existing adaptivestrategies, we propose on-demand fault tolerance, capableof providing required reliability, while significantly reducing theenergy overhead. Our solution relies on a hierarchical agentbased control layer and a reconfigurable fault tolerance datapath. The control layer identifies the traffic class and directs thepacket to the path providing the needed reliability. Simulationresults using representative applications (matrix multiplication,FFT, wavefront, and HiperLAN) showed up to 95% decrease inenergy consumption compared to traditional worst case methods.Synthesisresultshave confirmedanegligible additionaloverhead,for providing on-demand protection (up to 5.3% area), comparedto the overall fault tolerance circuitry.
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| 2. |
- Jafri, Syed Mohammad Asad Hassan, et al.
(författare)
-
Energy-aware fault-tolerant network-on-chips for addressing multiple traffic classes
- 2013
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Ingår i: Microprocessors and microsystems. - : Elsevier BV. - 0141-9331 .- 1872-9436. ; 37:8, s. 811-822
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents an energy efficient architecture to provide on-demand fault tolerance to multiple traffic classes, running simultaneously on single network on chip (NoC) platform. Today, NoCs host multiple traffic classes with potentially different reliability needs. Providing platform-wide worst-case (maximum) protection to all the classes is neither optimal nor desirable. To reduce the overheads incurred by fault tolerance, various adaptive strategies have been proposed. The proposed techniques rely on individual packet fields and operating conditions to adjust the intensity and hence the overhead of fault tolerance. Presence of multiple traffic classes undermines the effectiveness of these methods. To complement the existing adaptive strategies, we propose on-demand fault tolerance, capable of providing required reliability, while significantly reducing the energy overhead. Our solution relies on a hierarchical agent based control layer and a reconfigurable fault tolerance data path. The control layer identifies the traffic class and directs the packet to the path providing the needed reliability. Simulation results using representative applications (matrix multiplication, FFT, wavefront, and HiperLAN) showed up to 95% decrease in energy consumption compared to traditional worst case methods. Synthesis results have confirmed a negligible additional overhead, for providing on-demand protection (up to 5.3% area), compared to the overall fault tolerance circuitry.
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| 3. |
- Jafri, Syed Mohammad Asad Hassan, et al.
(författare)
-
Self-Adaptive NoC Power Management with Dual-Level Agents : Architecture and Implementation
- 2012
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Ingår i: PECCS 2012 - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems. - 9789898565006 ; , s. 450-458
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Konferensbidrag (refereegranskat)abstract
- Architecture and Implementation of adaptive NoC to improve performance and power consumption is presented. On platforms hosting multiple applications, hardware variations and unpredictable workloads make static design-time assignments highly sub-optimal e.g. in terms of power and performance. As a solution to this problem, adaptive NoCs are designed, which dynamically adapt towards optimal implementation. This paper addresses the architectural design of adaptive NoC, which is an essential step towards design automation. The architecture involves two levels of agents: a system level agent implemented in software on a dedicated general purpose processor and the local agents implemented as microcontrollers of each network node. The system agent issues specific instructions to perform monitoring and reconfiguration operations, while the local agents operate according to the commands from the system agent. To demonstrate the system architecture, best-effort power management with distributed voltage and frequency scaling is implemented, while meeting run-time execution requirements. Four benchmarks (matrix multiplication, FFT, wavefront, and hiperLAN transmitter) are experimented on a cycle-accurate RTL-level shared-memory NoC simulator. Power analysis with 65nm multi-Vdd library shows a significant reduction in energy consumption (from 21 % to 36 %). The synthesis also shows minimal area overhead (4 %) of the local agent compared to the original NoC switch.
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