Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
ReStore: Symptom-based soft error detection in microprocessors
Nicholas J. Wang,
Sanjay J. Patel
Electrical and Computer Engineering
Information Trust Institute
Coordinated Science Lab
European Union Center
Office of the Provost
Siebel School of Computing and Data Science
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'ReStore: Symptom-based soft error detection in microprocessors'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Microprocessor
100%
Soft Error
100%
Symptom-based
100%
Soft Error Detection
100%
Caching
33%
Mean Time to Failure
33%
Error Coverage
33%
Performance Enhancement
16%
Large-scale Integration
16%
Control Flow
16%
Error Detection
16%
Performance Overhead
16%
Checkpointing
16%
Failure Rate
16%
Device Scaling
16%
Hardware Overhead
16%
Pipeline Structure
16%
Error Event
16%
Minimal Hardware
16%
Translation Lookaside Buffer
16%
Computer Science
Error Detection
100%
Soft Error
100%
Mean Time between Failure
25%
Error Coverage
25%
Control Flow
12%
Checkpointing
12%
Application Processor
12%
Translation Lookaside Buffer
12%
Full Replication
12%
Scale Integration
12%