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  1. Home
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  3. Ayesha Afzal
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Ayesha Afzal

Scientific Researcher
Erlangen National High Performance Computing Center(NHR@FAU)
Country or state 
Germany
Available to 
Global
City 
Erlangen
Fee 
Ask for pricing
Languages 
English
Volunteer
Yes

Personal Details

Bio

Ayesha Afzal is a researcher at the Erlangen National High Performance Computing Center (NHR@FAU), Germany. She holds a Bachelor's degree in Electrical Engineering and a Master's degree in Computational Engineering. Her PhD research lies at the crossroads of analytic first- principles performance models, performance tools and parallel simulation frameworks in high- performance computing. She does research in High-Performance Computing, Multi-Core and Parallel Architectures and Programming Models, Domain-Specific Languages, Modern C++ (C++11/14/17), and Object-Oriented Template Meta-Programming.

Ayesha contributes to significant scientific community events as a chair, vice-chair, program committee member, journal reviewer, panelist and active speaker. She has authored numerous peer-reviewed publications, received Best Short Paper Award in the PMBS'23 workshop at the Supercomputing Conference, and scored First Place in the ISC'21 PhD Forum Award that honors outstanding PhD work. She was named in 100 Top Future Leaders Role Model List in 2022 and 2023 supported by Yahoo Finance and YouTube, respectively, and won the WearetheCity's Global Award for Achievement 2023.

Current position (1)

Scientific Researcher

Erlangen National High Performance Computing Center(NHR@FAU)

Degrees (1)
Master in Computational Engineering
Universität Erlangen-Nürnberg Germany
2013 to 2015
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Books & Articles (9)

Solving Maxwell's Equations with Modern C++ and SYCL: A Case Study
OpenCL-based FPGA design to accelerate the nodal discontinuous Galerkin method for unstructured meshes
The Cost of Computation: Metrics and Models for Modern Multicorebased Systems in Scientific Computing
Propagation and Decay of Injected One-Off Delays on Clusters: A Case Study
Delay Flow Mechanisms on Clusters
Desynchronization and wave pattern formation in MPI-parallel and hybrid memory-bound programs
Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact
An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs
ClusterCockpit—A web application for job-specific performance monitoring

Expertise (7)

Technology
Education
Science
Family & Parenting
High Performance Computing Software Development Onboard Supercomputing
Recommendations
Why choose me? 

I have diverse experience in performance modelling, engineering and software development.

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