Title :
Argus: Low-Cost, Comprehensive Error Detection in Simple Cores
Author :
Meixner, Albert ; Bauer, Michael E. ; Sorin, Daniel J.
Author_Institution :
Duke Univ., Durham
Abstract :
We have developed Argus, a novel approach for providing low-cost, comprehensive error detection for simple cores. The key to Argus is that the operation of a von Neumann core consists of four fundamental tasks - control flow, dataflow, computation, and memory access - that can be checked separately. We prove that Argus can detect any error by observing whether any of these tasks are performed incorrectly. We describe a prototype implementation, Argus-1, based on a single-issue, 4-stage, in-order processor to illustrate the potential of our approach. Experiments show that Argus-1 detects transient and permanent errors in simple cores with much lower impact on performance (<4% average overhead) and chip area (<17% overhead) than previous techniques.
Keywords :
cores; error detection; Argus; comprehensive error detection; computation; control flow; dataflow; low cost error detection; memory access; simple cores; von Neumann core; Computer errors; Computer science; Control systems; Costs; Data flow computing; Energy consumption; Error correction; Hardware; Microarchitecture; Runtime;
Conference_Titel :
Microarchitecture, 2007. MICRO 2007. 40th Annual IEEE/ACM International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-0-7695-3047-5
Electronic_ISBN :
1072-4451
DOI :
10.1109/MICRO.2007.18