Recently, chip multi-processors (CMP) have emerged to fully utilize the increased transistor count within stringent power budgets. Transistor scaling has lead to more error-prone and defective components. Static and run-time induced variations in the circuit lead to reduced yield and reliability. Providing reliability at low overheads specifically in terms of power is a challenging task that requires innovative solutions for building future integrated chips. Static variations have been studied previously. In this proposal, we study the impact of run-time variations on reliability. On-chip interconnection network that forms the communication fabric in the CMP has a crucial role in determining the performance, power consumption and reliability of the system. We manage protecting the data in a network on chip from transient errors induced by voltage fluctuations. Variations in operating conditions result in a significant variation in the reliability of the system, motivating the need to provide tunable levels of data protection. For example, the use of Dynamic Voltage and Frequency Scaling (DVFS) technique used in most CMPs today results in voltage variation across the chip, giving rise to variable error rates across the chip. We investigated the design of a dynamically reconfigurable error protection scheme in a NoC to achieve a desired level of reliability. We protect data at the desired reliability while minimizing the power and performance overhead incurred. We obtain a maximum of 55% savings in the power expended for error protection in the network with our proposed reconfigurable ECC while maintaining constant reliability. Further, 35% reduction in the average message latency in the network is observed, making a case for providing tunability in error protection in the on-chip network fabric.
|Original language||English (US)|
|Title of host publication||Dynamic Reconfigurable Network-on-Chip Design|
|Subtitle of host publication||Innovations for Computational Processing and Communication|
|Number of pages||23|
|State||Published - 2010|
All Science Journal Classification (ASJC) codes
- Computer Science(all)