Firouzi et al., 2012 - Google Patents
Adaptive fault-tolerant DVFS with dynamic online AVF predictionFirouzi et al., 2012
- Document ID
- 11790757544382090796
- Author
- Firouzi F
- Azarpeyvand A
- Salehi M
- Fakhraie S
- Publication year
- Publication venue
- Microelectronics Reliability
External Links
Snippet
Advances in silicon technology and shrinking the feature size to nanometer levels make random variations and low reliability of nano-devices the most important concern for fault- tolerant design. Design of reliable and fault-tolerant embedded processors is mostly based …
- 230000003044 adaptive 0 title abstract description 10
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power Management, i.e. event-based initiation of power-saving mode
- G06F1/3234—Action, measure or step performed to reduce power consumption
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
- G06F1/04—Generating or distributing clock signals or signals derived directly therefrom
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Vadlamani et al. | Multicore soft error rate stabilization using adaptive dual modular redundancy | |
Li et al. | SoftArch: an architecture-level tool for modeling and analyzing soft errors | |
Zhou et al. | Reliability and temperature constrained task scheduling for makespan minimization on heterogeneous multi-core platforms | |
Chen et al. | In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches | |
US8091050B2 (en) | Modeling system-level effects of soft errors | |
Xie et al. | APOLLO: An automated power modeling framework for runtime power introspection in high-volume commercial microprocessors | |
Das et al. | Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems | |
Rehman et al. | Reliable Software for Unreliable Hardware | |
Sun et al. | Workload assignment considering NBTI degradation in multicore systems | |
Tan et al. | Long-term reliability of nanometer VLSI systems | |
Firouzi et al. | Statistical analysis of BTI in the presence of process-induced voltage and temperature variations | |
Ye et al. | On-chip droop-induced circuit delay prediction based on support-vector machines | |
Kriebel et al. | ageOpt-RMT: Compiler-driven variation-aware aging optimization for redundant multithreading | |
Amrouch et al. | On the efficiency of voltage overscaling under temperature and aging effects | |
Nakhaee et al. | Lifetime improvement by exploiting aggressive voltage scaling during runtime of error-resilient applications | |
Jongerius et al. | Analytic processor model for fast design-space exploration | |
Firouzi et al. | Adaptive fault-tolerant DVFS with dynamic online AVF prediction | |
Gupta et al. | Cross-layer system resilience at affordable power | |
Moghaddasi et al. | Instruction-level NBTI stress estimation and its application in runtime aging prediction for embedded processors | |
Jiao et al. | Exploiting component dependency for accurate and efficient soft error analysis via Probabilistic Graphical Models | |
Kunkel et al. | Understanding hardware and software metrics with respect to power consumption | |
Shabanian et al. | ACE-GPU: Tackling choke point induced performance bottlenecks in a near-threshold computing GPU | |
Rivers et al. | Phaser: Phased methodology for modeling the system-level effects of soft errors | |
Chen et al. | DARP: Dynamically adaptable resilient pipeline design in microprocessors | |
Fu et al. | Soft error vulnerability aware process variation mitigation |