From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators

This book focuses on computing devices and their design at various levels to combat variability. The authors provide a review of key concepts with particular emphasis on timing errors caused by various variability sources. They discuss methods to predict and prevent, detect and correct, and finally...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rahimi, Abbas (Συγγραφέας), Benini, Luca (Συγγραφέας), Gupta, Rajesh K. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Part 1. Predicting and Preventing Errors
  • Instruction-Level Tolerance
  • Sequence-Level Tolerance
  • Procedure-Level Tolerance
  • Kernel-Level Tolerance
  • Hierarchically Focused Guardbanding
  • Part 2. Detecting and Correcting Errors
  • Work-Unit Tolerance
  • Memristive-Based Associative Memory for Error Recovery
  • Part 3. Accepting Errors
  • Accuracy-Configurable OpenMP
  • An Approximation Workflow for Exploiting Data-Level Parallelism in FPGA Acceleration
  • Memristive-Based Associative Memory for Approximate Computational Reuse
  • Spatial and Temporal Memoization
  • Outlook.