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Aamir Shafi

Researcher at University of the Sciences

Publications -  79
Citations -  503

Aamir Shafi is an academic researcher from University of the Sciences. The author has contributed to research in topics: Computer science & Java. The author has an hindex of 11, co-authored 43 publications receiving 439 citations. Previous affiliations of Aamir Shafi include Ohio State University & University of Dammam.

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Proceedings ArticleDOI

An architectural evaluation of SDN controllers

TL;DR: This paper evaluates the performances of four prominent open-source OpenFlow controllers and identifies key performance bottlenecks and good architectural choices for designing OpenFlow-based SDN controllers to implement an OpenFlow controller which outperforms existing controllers on assorted scalability metrics.
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Nested parallelism for multi-core HPC systems using Java

TL;DR: This paper presents a new Java messaging system called MPJ Express, and introduces nested parallelism in the Java version of the simulation code and is the first time this kind of hybrid parallelism is demonstrated in a high performance Java application.
Journal IssueDOI

A comparative study of Java and C performance in two large-scale parallel applications

TL;DR: This paper evaluates and compares the performance of the Java and C versions of these two scientific applications, and demonstrates that the Java codes can achieve performance comparable with legacy applications written in conventional HPC languages.
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Student Outcomes Assessment Methodology for ABET Accreditation: A Case Study of Computer Science and Computer Information Systems Programs

TL;DR: This paper provides the details of assessment and evaluation strategies for ABET-defined student outcomes (SOs) of computer science and computer information systems programs and acts as a guide for institutes and their management that plan to embark upon the journey of accrediting their computing programs.
Proceedings ArticleDOI

Multicore-enabling the MPJ express messaging library

TL;DR: It is found that MPJ Express performs signicantly better in the multicore mode than in the cluster mode, and performs better in comparison to other Java messaging libraries including mpiJava and MPJ/Ibis when used in the Multicore mode on shared memory or multicore processors.