Download Fault Tolerant Computer Architecture (Synthesis Lectures on by Daniel J. Sorin PDF

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By Daniel J. Sorin

For a few years, such a lot desktop architects have pursued one basic objective: functionality. Architects have translated the ever-increasing abundance of ever-faster transistors supplied by way of Moore's legislations into awesome raises in functionality. lately, despite the fact that, the bounty supplied via Moore's legislation has been followed by means of numerous demanding situations that experience arisen as units became smaller, together with a reduce in dependability as a result of actual faults. during this publication, we concentrate on the dependability problem and the fault tolerance suggestions that architects are constructing to beat it. the 2 major reasons of this e-book are to discover the foremost rules in fault-tolerant machine structure and to give the present state of the art - over nearly the previous 10 years - in academia and undefined. desk of Contents: advent / mistakes Detection / blunders restoration / prognosis / Self-Repair / the longer term

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11: High-level illustration of system with watchdog processor. 40 fault tolerant computer architecture violations of false invariants. Just because profiling shows that the integer is always less than five does not guarantee that some future program input could not cause it to be greater than five. Racunas et al. [58] explored several data value anomaly detectors, including those that check data value ranges, data bit invariants, and whether a data value matches one of a set of recent values. Pattabiraman et al.

Thus, if the R-thread detects that its instruction has a result different from that of the A-thread, it triggers an error and both threads recover to the most recently committed state of the R-thread. When the delay buffer is full, the A-thread cannot complete more instructions; when the delay buffer is empty, the R-thread cannot commit more instructions. By allowing the A-thread to commit instructions before the comparison, AR-SMT avoids some performance penalties. Go- error detection 31 maa et al.

Pattabiraman et al. [57] used profiling to identify likely value invariants, and they synthesize hardware that can efficiently detect violations of these value invariants at runtime. Microarchitectural Behavior Anomalies. Data value anomalies represent one possible type of anomaly to detect, and they are still fairly low-level anomalies. At a higher level, one can detect microarchitectural behaviors that are anomalous. Wang and Patel’s ReStore [89] architecture detects transient errors by detecting microarchitectural behaviors that, although possible in an error-free execution, are rare enough to be suspicious.

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