scholarly journals Power-Aware Fault-Tolerance for Embedded Systems

2020 ◽  
pp. 565-588
Author(s):  
Mohammad Salehi ◽  
Florian Kriebel ◽  
Semeen Rehman ◽  
Muhammad Shafique
Keyword(s):  
Fault Tolerance ◽  
Performance Management ◽  
Performance Level ◽  
System Level ◽  
Dark Silicon ◽  
Silicon Chips ◽  
Power Reliability ◽  
And Performance ◽  
Reliability Performance ◽  
Many Core

AbstractPower-constrained fault-tolerance has emerged as a key challenge in the deep sub-micron technology. Multi-/many-core chips can support different hardening modes considering variants of redundant multithreading (RMT). In dark silicon chips, the maximum number of cores that can simultaneously be powered-on (at the full performance level) is constrained by the thermal design power (TDP). The rest of the cores have to be power-gated (i.e., stay “dark”), or the cores have to operate at a lower performance level. It has been predicted that about 25–50% of a many-core chip can potentially be “dark.” In this chapter, a system-level power–reliability management technique is presented. The technique jointly considers multiple hardening modes at the software and hardware levels, each offering distinct power, reliability, and performance properties. Also, a framework for the system-level optimization is introduced which considers different power–reliability–performance management problems for many-core processors depending upon the target system and user constraints.

Performance Measurement using Balance Score Card and its Applications: A Review

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Shradha Gawankar ◽  
Sachin S. Kamble ◽  
Rakesh Raut
Keyword(s):  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Management ◽  
Balanced Scorecard ◽  
Strategic Change ◽  
The Balanced Scorecard ◽  
Balance Score Card ◽  
Measurement Framework ◽  
Score Card ◽  
And Performance

This paper aims to propose the idea of briefly explaining the balance scorecard by highlighting its use, application in depth. A critical enabler in achieving desired performance goals is the ability to measure performance. Despite the importance of accurately measuring organizational performance in most areas of academic research, there have been very few studies that have directly addressed the question of how overall organizational performance is or should be measured. Perhaps more importantly, none of these studies seems to have significantly influenced how overall organizational performance is actually measured in most of the empirical research that uses this construct as a dependent measure. The most popular of the performance measurement framework has been the balanced scorecard abbreviated as BSC. The BSC is widely acknowledged to have moved beyond the original ideology. It has now become a strategic change management and performance management process. The approach used in this paper is the combination of literature review on evolution of balance score card and its applications in various sectors/organizations/ areas. This paper identify that the balanced scorecard is a powerful but simple strategic tool and the simplicity of the scorecard is in its design. By encompassing four primary perspectives, the tool allows an organization to turn its attention to external concerns, such as the financial outcomes and its customers expectations, and internal areas, which include its internal processes to meet external requirements and its integration of learning and growth, to successfully meet its strategic expectations. This paper provides a comprehensive overview of the balanced scorecard combined with application and strategy, which are now in a better position to begin to recognize managements expectations and to discover new ways to build value for workplace learning and performance within organization.

scholarly journals Even Pacing Is Associated with Faster Finishing Times in Ultramarathon Distance Trail Running—The “Ultra-Trail du Mont Blanc” 2008–2019

2020 ◽  
Vol 17 (19) ◽  
pp. 7074 ◽  
Author(s):  
Daniel Suter ◽  
Caio Victor Sousa ◽  
Lee Hill ◽  
Volker Scheer ◽  
Pantelis Theo Nikolaidis ◽  
...  
Keyword(s):  
General Linear Model ◽  
Performance Level ◽  
Age Group ◽  
Younger Age ◽  
Pacing Strategies ◽  
And Performance ◽  
Group Sex ◽  
The Impact ◽  
Trail Running ◽  
One Way Anova

In recent years, there has been an increasing number of investigations analyzing the effects of sex, performance level, and age on pacing in various running disciplines. However, little is known about the impact of those factors on pacing strategies in ultramarathon trail running. This study investigated the effects of age, sex, and performance level on pacing in the UTMB® (Ultra-trail du Mont Blanc) and aimed to verify previous findings obtained in the research on other running disciplines and other ultramarathon races. Data from the UTMB® from 2008 to 2019 for 13,829 race results (12,681 men and 1148 women) were analyzed. A general linear model (two-way analysis of variance (ANOVA)) was applied to identify a sex, age group, and interaction effect in pace average and pace variation. A univariate model (one-way ANOVA) was used to identify a sex effect for age, pace average, and pace variation for the fastest men and women. In our study, pace average and a steadier pace were positively correlated. Even pacing throughout the UTMB® correlated with faster finishing times. The average pace depended significantly on sex and age group. When considering the top five athletes in each age group, sex and age group also had significant effects on pace variation. The fastest women were older than the fastest men, and the fastest men were faster than the fastest women. Women had a higher pace variation than men. In male competitors, younger age may be advantageous for a successful finish of the UTMB®. Faster male runners seemed to be younger in ultramarathon trail running with large changes in altitude when compared to other distances and terrains.

scholarly journals Pacing in Time-Limited Ultramarathons from 6 to 24 Hours—The Aspects of Age, Sex and Performance Level

2021 ◽  
Vol 13 (5) ◽  
pp. 2705
Author(s):  
Hagen Deusch ◽  
Pantelis T. Nikolaidis ◽  
José Ramón Alvero-Cruz ◽  
Thomas Rosemann ◽  
Beat Knechtle
Keyword(s):  
Analysis Of Variance ◽  
Coefficient Of Variation ◽  
Training Programs ◽  
Performance Level ◽  
Running Speed ◽  
And Performance ◽  
Main Effects ◽  
And Training ◽  
Age And Sex

(1) Background: Compared with marathon races, pacing in time-limited ultramarathons has only been poorly discussed in the literature. The aim of the present study was to analyze the interaction of performance level, age and sex with pacing during 6 h, 12 h or 24 h time-limited ultramarathons. (2) Methods: Participants (n = 937, age 48.62 ± 11.80 years) were the finishers in 6 h (n = 40, 17 women and 23 men), 12 h (n = 232, 77 women and 155 men) and 24 h (n = 665, 166 women and 409 men) ultramarathons. The coefficient of variation (CV), calculated as SD/mean, was used to described pacing. Low scores of CV denoted a more even pacing, and vice versa. A two-way analysis of variance examined the main effects and interactions of sex and race duration on age, race speed and pacing. (3) Results: More men participated in the longer race distances than in the shorter ones and men were older and faster than women. Comparing the 6 h, 12 h and 24 h races, the finishers in the 6 h were the fastest, the finishers in the 12 h were the oldest and the finishers in the 24 h showed the most variable pacing. Furthermore, the faster running speed in the 12 h (women, r = −0.64; men, r = −0.49, p < 0.001) and the 24 h (r = −0.47 in women and men, p < 0.001) was related to less variable pacing. (4) Conclusions: These data might help runners and coaches to choose the the proper duration of a race and training programs for their athletes.

Game variables that predict success and performance level in elite men’s volleyball

2021 ◽  
pp. 1-13
Author(s):  
Sotirios Drikos ◽  
Karolina Barzouka ◽  
Maria-Elissavet Nikolaidou ◽  
Konstantinos Sotiropoulos
Keyword(s):  
Performance Level ◽  
And Performance

Examining frustration and performance when priming user expectations and providing a technology malfunction

2020 ◽  
Vol 64 (1) ◽  
pp. 1846-1850
Author(s):  
Nina Ferreri ◽  
Christopher B. Mayhorn
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Digital Technology ◽  
Mobile App ◽  
Performance Level ◽  
Qr Code ◽  
Attitudes And Behaviors ◽  
Main Effect ◽  
User Expectations ◽  
And Performance

As digital technology develops, users create expectations for performance that may be violated when malfunctions occur. This project examined how priming expectations of technology performance (high v. low v. no) and experiences of technology malfunction (present v. not present) can influence feelings of frustration and performance on a task. A preliminary sample of 42 undergraduate participants completed a QR code scavenger hunt using the augmented reality mobile app, ARIS. Following the task, participants reported what they found for each scavenger hunt clue, their responses to failures in digital technology, and technology acceptance attitudes. Several factorial ANOVAs revealed a main effect for expectation on adaptive items of the RFDT scale and a main effect for malfunction on performance level. This suggests a potential contradiction between attitudes and behaviors when considering a common scenario involving technology.

The Importance of Oversight and Agency Capacity in Enhancing Performance in Public Service Delivery

2020 ◽  
Author(s):  
Cody A Drolc ◽  
Lael R Keiser
Keyword(s):  
Service Delivery ◽  
Performance Management ◽  
Fixed Effects ◽  
Poor Performance ◽  
Central Component ◽  
State Agencies ◽  
Public Programs ◽  
And Performance ◽  
Fixed Effects Regression ◽  
Social Security Disability

Abstract Government agencies often encounter problems in service delivery when implementing public programs. This undermines effectiveness and raise questions about accountability. A central component of responsiveness and performance management is that agencies correct course when problems are identified. However, public agencies have an uneven record in responding to problems. In this paper we investigate whether, and to what extent, capacity both within the agency and within institutions performing oversight, improves agency responsiveness to poor performance indicators. Using panel data on eligibility determinations in the Social Security Disability program from U.S. state agencies from 1991-2015 and fixed effects regression, we find that indicators of agency and oversight capacity moderate the relationship between poor performance and improvement. Our results suggest that investments in building capacity not only within agencies, but also within elected institutions, are important for successful policy implementation. However, we find evidence that while agency capacity alone can improve responsiveness to poor performance, the effect of oversight capacity on improving performance requires high agency capacity.

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