An Improved Approach to Tag Reduction on Low Power CMP with Trade-Off of Energy and Performance

2009 ◽  
Author(s):  
Long Zheng ◽  
Mianxiong Dong ◽  
Hai Jin ◽  
Minyi Guo ◽  
Li Li
Keyword(s):  
Low Power ◽  
Trade Off ◽  
And Performance

scholarly journals GRAM

2021 ◽  
Vol 18 (2) ◽  
pp. 1-24
Author(s):  
Nhut-Minh Ho ◽  
Himeshi De silva ◽  
Weng-Fai Wong
Keyword(s):  
Performance Improvement ◽  
Trade Off ◽  
Accuracy Requirement ◽  
Output Error ◽  
Fine Grain ◽  
Mixed Precision ◽  
And Performance ◽  
Effective Use

This article presents GRAM (<underline>G</underline>PU-based <underline>R</underline>untime <underline>A</underline>daption for <underline>M</underline>ixed-precision) a framework for the effective use of mixed precision arithmetic for CUDA programs. Our method provides a fine-grain tradeoff between output error and performance. It can create many variants that satisfy different accuracy requirements by assigning different groups of threads to different precision levels adaptively at runtime . To widen the range of applications that can benefit from its approximation, GRAM comes with an optional half-precision approximate math library. Using GRAM, we can trade off precision for any performance improvement of up to 540%, depending on the application and accuracy requirement.

Selecting packaging material for dry food products by trade‐off of sustainability and performance: A case study on cookies and milk powder

2021 ◽  
Vol 34 (5) ◽  
pp. 303-318
Author(s):  
Maarten Baele ◽  
An Vermeulen ◽  
Dimitri Adons ◽  
Roos Peeters ◽  
Angelique Vandemoortele ◽  
...  
Keyword(s):  
Milk Powder ◽  
Food Products ◽  
Packaging Material ◽  
Trade Off ◽  
Dry Food ◽  
And Performance

Age and Performance Under Pressure

2012 ◽  
pp. 134-152 ◽  
Author(s):  
Harold O. Fried ◽  
Loren W. Tauer
Keyword(s):  
Correlation Coefficient ◽  
High Performance ◽  
Age Distribution ◽  
Mental Ability ◽  
Trade Off ◽  
Athletic Ability ◽  
Front End ◽  
Ladies Professional Golf Association ◽  
And Performance ◽  
Performance Under Pressure

This article explores how well an individual manages his or her own talent to achieve high performance in an individual sport. Its setting is the Ladies Professional Golf Association (LPGA). The order-m approach is explained. Additionally, the data and the empirical findings are presented. The inputs measure fundamental golfing athletic ability. The output measures success on the LPGA tour. The correlation coefficient between earnings per event and the ability to perform under pressure is 0.48. The careers of golfers occur on the front end of the age distribution. There is a classic trade-off between the inevitable deterioration in the mental ability to handle the pressure and experience gained with time. The ability to perform under pressure peaks at age 37.

scholarly journals A Simple Microstrip Phase Shifter

1992 ◽  
Vol 45 (1) ◽  
pp. 105 ◽  
Author(s):  
SW Amy ◽  
MI Large
Keyword(s):  
Low Power ◽  
Phase Shifter ◽  
Narrow Band ◽  
Phase Shifters ◽  
Performance Data ◽  
Frequency Range ◽  
Design Chart ◽  
Binary Phase ◽  
Gain Variation ◽  
And Performance

A novel, inexpensive, series-connected loaded-line (SCOLL) phase shifter has been developed for the Molonglo Observatory Synthesis Telescope. The phase shifter, which operates at 0�843 GHz, consists of a ",3&gt;'/8 length of microstrip with series connected varactors at each end. Although designed as a binary phase shifter, the insertion phase varies almost linearly with varactor reactance, with very little gain variation for phase ranges up to 90�. Thus, driven by a digital-to-analogue (D/ A) converter, a SCOLL becomes a programmable phase shifter of any desired resolution. The same technique would be suitable for narrow-band low power applications in the frequency range 0�1 to 10 GHz. This paper gives the basic theory of SCOLL phase shifters, a design chart, construction details and performance data.

scholarly journals Principal-principal conflicts leading to activism of a large government-owned investor in Brazil

2021 ◽  
Vol 5 (1) ◽  
pp. 15-21
Author(s):  
Bruno Elmôr Duarte ◽  
Ricardo Pereira Câmara Leal
Keyword(s):  
Corporate Governance ◽  
Government Policy ◽  
Poor Performance ◽  
Ownership Concentration ◽  
Minority Shareholders ◽  
Trade Off ◽  
Legal Proceedings ◽  
Brazilian Government ◽  
And Performance

This article analyzes conflicts between principals that led to activism by one large Brazilian government-owned investor as a minority shareholder and verifies the antecedents, means employed, apparent motivations, and effectiveness of its reactions (Goranova & Ryan, 2014). It examines the cases of three large high ownership concentration listed companies using solely public sources. Poor performance was a frequent conflict antecedent. No evident trade-off between activism and corporate governance (CG) practices emerged. High ownership concentration influenced the way the investor reacted and its success because opposition through internal CG mechanisms was usually not successful and led to legal proceedings. The limitations of the regulatory framework became evident from the mixed outcomes of these proceedings. The investor was not exclusively financially motivated and it occasionally opposed the interests of other minority shareholders to follow government policy. These findings illustrated how high ownership concentration rendered difficult the mitigation of principal-principal conflicts even for a large government-owned investor and help explain the failure of previous econometric studies to relate activism, quality of CG practices and performance (Young, Peng, Ahlstrom, Bruton, & Jiang, 2008)

scholarly journals Carrier Transport in High-Mobility III–V Quantum-Well Transistors and Performance Impact for High-Speed Low-Power Logic Applications

2008 ◽  
Vol 29 (10) ◽  
pp. 1094-1097 ◽  
Author(s):  
G. Dewey ◽  
M.K. Hudait ◽  
Kangho Lee ◽  
R. Pillarisetty ◽  
W. Rachmady ◽  
...  
Keyword(s):  
Quantum Well ◽  
Low Power ◽  
High Speed ◽  
Carrier Transport ◽  
High Mobility ◽  
Performance Impact ◽  
And Performance ◽  
Low Power Logic
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