An Automated Geometric Appraisal Model

2022 ◽  
pp. 222-242
Author(s):  
Hari Govinda Rao Chukka ◽  
Sampath Dakshina Murthy Achanta
Keyword(s):  
Human Resources ◽  
Subject Matter ◽  
Circular Economy ◽  
High Performance ◽  
Performance Outcomes ◽  
Performance Model ◽  
Human Interference ◽  
Policy Model ◽  
Incentive Model ◽  
Source Assessment

The idea of the circular economy is gaining steam in academia through the green economics of human resources policies in Asia. A high performance model delivers superior outcomes but does not deter praiseworthy professors from biased human interference. Using the computerized-based geometric performance base incentive model (CGPBI) is particularly beneficial in encouraging faculty who have achieved superior outcomes in all areas of science, academia, and other contributions. To fill this gap, the author proposed a geometric hybrid reward policy model that includes a number of fictitious variables such as topic tolerance, the effects of subject matter, and the average outcome across all subjects. This model uses Python to construct a standardized framework to gather data on the success of faculty. It provides a robust indication of comparative success and motivates workers to achieve more transparent performance outcomes. The author proposes the use of a multi-source assessment (MSA) to evaluate the faculty's annual results.

https://imsciences.edu.pk/files/journals/vol12_2/New%201%20MA.864.pdf

2020 ◽  
Vol 12 (2) ◽  
pp. 19-50 ◽  
Author(s):  
Muhammad Siddique ◽  
Shandana Shoaib ◽  
Zahoor Jan
Keyword(s):  
Organizational Performance ◽  
Structural Equation ◽  
High Performance ◽  
Service Sector ◽  
Performance Outcomes ◽  
Theory And Practice ◽  
Relational Coordination ◽  
Multiple Sources ◽  
And Performance ◽  
High Level

A key aspect of work processes in service sector firms is the interconnection between tasks and performance. Relational coordination can play an important role in addressing the issues of coordinating organizational activities due to high level of interdependence complexity in service sector firms. Research has primarily supported the aspect that well devised high performance work systems (HPWS) can intensify organizational performance. There is a growing debate, however, with regard to understanding the “mechanism” linking HPWS and performance outcomes. Using relational coordination theory, this study examines a model that examine the effects of subsets of HPWS, such as motivation, skills and opportunity enhancing HR practices on relational coordination among employees working in reciprocal interdependent job settings. Data were gathered from multiple sources including managers and employees at individual, functional and unit levels to know their understanding in relation to HPWS and relational coordination (RC) in 218 bank branches in Pakistan. Data analysis via structural equation modelling, results suggest that HPWS predicted RC among officers at the unit level. The findings of the study have contributions to both, theory and practice.

scholarly journals Compiler-directed scratchpad memory data transfer optimization for multithreaded applications on a heterogeneous many-core architecture

2021 ◽  
Author(s):  
Xiaohan Tao ◽  
Jianmin Pang ◽  
Jinlong Xu ◽  
Yu Zhu
Keyword(s):  
Energy Consumption ◽  
High Performance ◽  
Scientific Computing ◽  
Data Transfer ◽  
Performance Model ◽  
Experimental Result ◽  
Transfer Model ◽  
Scratchpad Memory ◽  
On Chip ◽  
Many Core

AbstractThe heterogeneous many-core architecture plays an important role in the fields of high-performance computing and scientific computing. It uses accelerator cores with on-chip memories to improve performance and reduce energy consumption. Scratchpad memory (SPM) is a kind of fast on-chip memory with lower energy consumption compared with a hardware cache. However, data transfer between SPM and off-chip memory can be managed only by a programmer or compiler. In this paper, we propose a compiler-directed multithreaded SPM data transfer model (MSDTM) to optimize the process of data transfer in a heterogeneous many-core architecture. We use compile-time analysis to classify data accesses, check dependences and determine the allocation of data transfer operations. We further present the data transfer performance model to derive the optimal granularity of data transfer and select the most profitable data transfer strategy. We implement the proposed MSDTM on the GCC complier and evaluate it on Sunway TaihuLight with selected test cases from benchmarks and scientific computing applications. The experimental result shows that the proposed MSDTM improves the application execution time by 5.49$$\times$$ × and achieves an energy saving of 5.16$$\times$$ × on average.

scholarly journals Beyond spatial scalability limitations with a massively parallel method for linear oscillatory problems

2017 ◽  
Vol 32 (6) ◽  
pp. 913-933 ◽  
Author(s):  
Martin Schreiber ◽  
Pedro S Peixoto ◽  
Terry Haut ◽  
Beth Wingate
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Weather Prediction ◽  
Finite Difference Methods ◽  
Scaling Limit ◽  
Performance Model ◽  
Massively Parallel ◽  
Large Set ◽  
Problem Size ◽  
Single Node

This paper presents, discusses and analyses a massively parallel-in-time solver for linear oscillatory partial differential equations, which is a key numerical component for evolving weather, ocean, climate and seismic models. The time parallelization in this solver allows us to significantly exceed the computing resources used by parallelization-in-space methods and results in a correspondingly significantly reduced wall-clock time. One of the major difficulties of achieving Exascale performance for weather prediction is that the strong scaling limit – the parallel performance for a fixed problem size with an increasing number of processors – saturates. A main avenue to circumvent this problem is to introduce new numerical techniques that take advantage of time parallelism. In this paper, we use a time-parallel approximation that retains the frequency information of oscillatory problems. This approximation is based on (a) reformulating the original problem into a large set of independent terms and (b) solving each of these terms independently of each other which can now be accomplished on a large number of high-performance computing resources. Our results are conducted on up to 3586 cores for problem sizes with the parallelization-in-space scalability limited already on a single node. We gain significant reductions in the time-to-solution of 118.3× for spectral methods and 1503.0× for finite-difference methods with the parallelization-in-time approach. A developed and calibrated performance model gives the scalability limitations a priori for this new approach and allows us to extrapolate the performance of the method towards large-scale systems. This work has the potential to contribute as a basic building block of parallelization-in-time approaches, with possible major implications in applied areas modelling oscillatory dominated problems.

Building a High-Performance Model for Sport

2019 ◽  
Vol 41 (2) ◽  
pp. 100-107 ◽  
Author(s):  
Anthony N. Turner ◽  
Chris Bishop ◽  
Jon Cree ◽  
Paul Carr ◽  
Andy McCann ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Model

Human resources flexibility as a mediating mechanism between high-performance work systems and organizational performance: a multilevel quasi-longitudinal study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anastasia A. Katou
Keyword(s):  
Human Resources ◽  
Organizational Performance ◽  
Structural Equation ◽  
High Performance ◽  
Behavioural Flexibility ◽  
Work Systems ◽  
Content Type ◽  
High Performance Work Systems ◽  
Functional Flexibility ◽  
The Impact

PurposeThe purpose of this study is to investigate the impact of high-performance work systems (HPWS) on organizational performance through the mediating role of human resources (HR) flexibility (expressed by functional flexibility, skills malleability and behavioural flexibility).Design/methodology/approachThe study examines theoretical relationships in the Greek context, which reflects changing economic and financial crisis, based on multilevel structural equation modelling estimation, using three waves of sample data collected in years 2014, 2016 and 2018 from organizations operating in the private sector.FindingsThe study finds that although HPWS positively influences all three HR flexibility dimensions, this positive effect is not transferred equally to organizational performance. The dominant effect on organizational performance is attributed to skills malleability, a smaller effect to behavioural flexibility and a negligible effect to functional flexibility.Research limitations/implicationsAlthough the data collected refer to three different years, most of the companies and individuals responded to sampling were different. As such, the study does not allow for dynamic causal inferences due to its quasi-longitudinal nature.Practical implicationsThe findings of this study may influence managerial decisions in developing bundles of HPWS policies and practices in relation to HR flexibility attributes.Originality/valueSince most studies consider HR flexibility as an aggregated construct, this study is possibly one of the very few studies that is examining the differential impact of the HR flexibility dimensions on organizational performance in turbulent times.

Innovative urban climate model PALM-4U as a support tool for municipal climate adaptation strategies.

2021 ◽  
Author(s):  
Antonina Kriuger ◽  
Alexander Reinbold ◽  
Martina Schubert-Frisius ◽  
Jörg Cortekar
Keyword(s):  
Climate Change ◽  
High Performance ◽  
Climate Model ◽  
Urban Climate ◽  
Performance Model ◽  
Practical Implementation ◽  
Adaptation Measures ◽  
Funding Program ◽  
The Impact ◽  
Comfort Indices

<p>Cities are particularly vulnerable to climate change. At the same time, cities change slowly. Accordingly, preparatory measures to adapt to climate change have to be taken urgently. High-performance urban climate models with various applications can form the basis for prospective planning decisions, however, as of today no such model exists that can be easily applied outside of the scientific community. Therefore, the funding program Urban Climate Under Change [UC]<sup>2</sup> aims to further develop the new urban climate model PALM-4U (Parallelized Large-Eddy Simulation Model for Urban Applications) into a practice-oriented and user-friendly product that meets the needs of municipalities and other practical users in addition to scientific research.</p><p>Specifically, the high-performance model PALM-4U allows simulation of entire large cities comprising the area over 1.000 km<sup>2</sup> with a grid size of down to few meters. One of our goals within the project ProPolis is to design and test the practical implementation of PALM-4U in standard and innovative application fields which include thermal comfort (indices like PT, PET, UTCI), cold air balance (source areas, reach and others), local wind comfort (indices derived from medium winds and gusts) as well as dispersion of pollutants.</p><p>In close cooperation with our practice partners, we explore the potential of PALM-4U to support the urban planning processes in each specific application setting. Additionally, with development of the fit for purpose graphic user interface, manuals and trainings we aim to enable practitioners to apply the model for their individual planning questions and adaptation measures.</p><p>In our presentation, we will show an application case of PALM-4U in a major German city. We will investigate the effect of a planned development area on the local climate and the impact of different climate change adaptation measures (such as extensive vs. intensive green roofs). The comparative simulations of the current state and planning scenarios with integrated green and blue infrastructure should provide arguments for the municipal decision making in consideration of climate change aspects in a densely built-up environment, e.g. urban heat stress.</p>

Managing Human Resources in Family Businesses

2014 ◽  
pp. 96-112 ◽  
Author(s):  
Santiago Gutiérrez-Broncano ◽  
Mercedes Rubio-Andrés ◽  
Pedro Jiménez Estévez
Keyword(s):  
Human Capital ◽  
Human Resources ◽  
High Performance ◽  
Negative Impact ◽  
Business Owners ◽  
Family Businesses ◽  
Future Research ◽  
Research Directions ◽  
Positive Effects ◽  
Future Research Directions

Although a lot of research has been carried out in the field of family businesses in recent years, not much of it has focused on human resource management. After compiling the major studies, both negative aspects (e.g. nepotism) and positive ones (e.g. employee commitment) have been identified. Therefore, the authors propose high-performance human resources practices to reduce the negative impact of family in business and boost the positive effects, increase their human capital, and achieve a competitive advantage in this field. Finally, the authors provide key insights for practitioners, family business owners, and managers, and they propose future research directions.

Participatory Poverty Assessment Effort in Food Security and Extension Policy

2020 ◽  
pp. 481-499 ◽  
Author(s):  
Muhamad Rusliyadi ◽  
Azaharaini Bin Hj. Mohd. Jamil
Keyword(s):  
Human Resources ◽  
Program Implementation ◽  
National Level ◽  
Development Program ◽  
Monitoring And Evaluation ◽  
Participatory Approach ◽  
Policy Model ◽  
Poverty Assessment ◽  
Grassroots Level ◽  
The Impact

The impact study assessment aims to evaluate policies and monitor the achievement of targets and the results of a development program such as DMP. The output obtained is information that is an evaluation of how the policy was planned, initiated, and implemented. Participatory monitoring and evaluation analyze the outcome and impact of the DMP Program. PPA seeks to answer the question of whether or not the policy or program is working properly. A participatory approach may improve the outcomes in the form of a new policy model for the future. The output of the PPA process from this study is the agricultural policy formulated in terms of practical ways of approaching poverty problems from a local perspective. The success of alternative policy options applied by local government such as physical, human resources, and institution development at the grassroots level should be adopted at the national level. It should represent the best example of a case of successful program implementation at the grassroots level which can then be used in formulating national policies and strategies.

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