Web Performance Optimization Framework

2020 ◽  
pp. 49-78
Author(s):  
Shailesh Kumar Shivakumar
Keyword(s):  
Performance Optimization ◽  
Web Performance ◽  
Optimization Framework

scholarly journals Find the Gap: Project MOEEBIUS, a Holistic Energy Performance Optimization Framework

Proceedings ◽  
2017 ◽  
Vol 1 (7) ◽  
pp. 1102
Author(s):  
Rui Martins ◽  
Filipe Silva ◽  
Muriel Iten ◽  
Ricardo Rato
Keyword(s):  
Performance Optimization ◽  
Energy Performance ◽  
Optimization Framework ◽  
Gap Project

Performance Driven Development Framework for Web Applications

2017 ◽  
Vol 9 (1) ◽  
pp. 75
Author(s):  
K. S. Shailesh ◽  
P. V. Suresh
Keyword(s):  
Customer Loyalty ◽  
Performance Optimization ◽  
Web Search ◽  
Web Applications ◽  
State Of The Art ◽  
End User ◽  
Web Performance ◽  
Performance Engineering ◽  
Development Framework ◽  
Performance Patterns

The performance of web applications is of paramount importance as it can impact end-user experience and the business revenue. Web Performance Optimization (WPO) deals with front-end performance engineering. Web performance would impact customer loyalty, SEO, web search ranking, SEO, site traffic, repeat visitors and overall online revenue. In this paper we have conducted the survey of state of the art tools, techniques, methodologies of various aspects of web performance optimization. We have identified key web performance patterns and proposed novel web performance driven development framework. We have elaborated on various techniques related to different phases of web performance driven development framework.

ON VECTORIZATION FOR LATTICE BASED SIMULATIONS

2013 ◽  
Vol 24 (12) ◽  
pp. 1340011 ◽  
Author(s):  
ANIRUDDHA G. SHET ◽  
K. SIDDHARTH ◽  
SHAHAJHAN H. SORATHIYA ◽  
ANAND M. DESHPANDE ◽  
SUNIL D. SHERLEKAR ◽  
...  
Keyword(s):  
Data Structure ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Performance Optimization ◽  
Memory Bandwidth ◽  
Bandwidth Utilization ◽  
Computing Environment ◽  
Optimization Framework ◽  
Boltzmann Method ◽  
Type Lattice

We present a vector-friendly blocked computing strategy for the lattice Boltzmann method (LBM). This strategy, along with a recently developed data structure, Structure of Arrays of Structures (SoAoS), is implemented for multi-relaxation type lattice Boltzmann (LB). The proposed methodology enables optimal memory bandwidth utilization in the advection step and high compute efficiency in the collision step of LB implementation. In a dense computing environment, current performance optimization framework for LBM is able to achieve high single-core efficiency.

scholarly journals Web Performance Optimization Techniques for Biodiversity Resource Portal

2019 ◽  
Vol 1230 ◽  
pp. 012011
Author(s):  
Edy Budiman ◽  
Novianti Puspitasari ◽  
Masna Wati ◽  
Joan Angelina Widians ◽  
Haviluddin
Keyword(s):  
Performance Optimization ◽  
Optimization Techniques ◽  
Web Performance ◽  
Biodiversity Resource
Sign in / Sign up

Export Citation Format

Share Document