Name
Abstract | ||
|---|---|---|
As a consequence of technology scaling, today's complex multi-processor systems have become more and more susceptible to errors. In order to satisfy reliability requirements, such systems require methods to detect and tolerate errors. This entails two major challenges: (a) providing a comprehensive approach that ensures fault-tolerant execution of parallel applications across different types of resources, and (b) optimizing resource usage in the face of dynamic fault probabilities or with varying fault tolerance needs of different applications. In this paper, we present a holistic and adaptive approach to provide fault tolerance on Multi-Processor System-on-a Chip (MPSoC) on demand of an application or environmental needs based on invasive computing. We show how invasive computing may provide adaptive fault tolerance on a heterogeneous MPSoC including hardware accelerators and communication infrastructure such as a Network-on-Chip (NoC). In addition, we present (a) compile-time transformations to automatically adopt well-known redundancy schemes such as Dual Modular Redundancy (DMR) and Triple Modular Redundancy (TMR) for fault-tolerant loop execution on a class of massively parallel arrays of processors called as Tightly Coupled Processor Arrays (TCPAs). Based on timing characteristics derived from our compilation flow, we further develop (b) a reliability analysis guiding the selection of a suitable degree of fault tolerance. Finally, we present (c) a methodology to detect and adaptively mitigate faults in invasive NoCs. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1515/itit-2016-0022 | IT-INFORMATION TECHNOLOGY |
Keywords | Field | DocType |
Heterogeneous MPSoC, adaptive fault tolerance, structural redundancy, network-on-chip, massively parallel processor arrays, resource-aware parallel programming | Computer science,Network on a chip,Fault tolerance,Embedded system,Distributed computing | Journal |
Volume | Issue | ISSN |
58 | 6 | 1611-2776 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vahid Lari | 1 | 97 | 9.25 |
| Andreas Weichslgartner | 2 | 52 | 7.16 |
| Alexandru Tanase | 3 | 75 | 9.31 |
| Michael Witterauf | 4 | 15 | 6.36 |
| Faramarz Khosravi | 5 | 22 | 4.87 |
| Jürgen Teich | 6 | 2886 | 273.54 |
| Jan Heisswolf | 7 | 51 | 5.67 |
| Stephanie Friederich | 8 | 3 | 1.04 |
| Jürgen Becker | 9 | 1894 | 259.42 |