Neelima Bayyapu - Associate Professor

Neelima Bayyapu

Associate Professor

Chicago, Illinois, India

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Summary

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Senior

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Top School

Neelima Bayyapu is an associate professor and HPC researcher with over nine years of experience focused on parallel and accelerated computing, originating from early work in multi-core technologies and evolving into GPU-accelerated high performance computing. She completed a PhD in HPC using GPUs and extended her research at Argonne National Laboratory, contributing to the Exascale-MPI project by improving robustness and concurrency in the widely used MPICH implementation. Comfortable in C, MPI, OpenMP and CUDA, she pairs deep systems-level expertise with practical code development and performance analysis for production-grade parallel runtimes. Her academic leadership includes departmental headship and teaching across Indian institutions, while maintaining an active open-source presence and a strong publication record. Notably, her work bridges rigorous research and real-world MPI reliability fixes that directly impact large-scale scientific applications.

8 years of coding experience

3 years of employment as a software developer

Master of Technology - MTech, Computer Sceince and Engineering, 80.5%, Master of Technology - MTech, Computer Sceince and Engineering, 80.5% at Visvesvaraya Technological University

Jawaharlal Nehru Technological University Hyderabad

The Indira Gandhi National Open University (IGNOU)

Doctor of Philosophy - PhD, High Performance Computing using GPUs, 9.0/10.0 (CGPA), Doctor of Philosophy - PhD, High Performance Computing using GPUs, 9.0/10.0 (CGPA) at National Institute of Technology Karnataka

Telugu, Kannada

Github Skills (9)

c1710

debugging10

mpi10

debug10

hpc10

c1110

fortran9

algorithms8

algorithm8

Programming languages (2)

CTeX

Github contributions (5)

pmodels/mpich

Jul 2017 - Aug 2017

Official MPICH Repository

Role in this project:

Backend Developer

Contributions:22 commits, 24 PRs, 2 branches in 1 month

Contributions summary:Neelima primarily focused on improving the robustness and reliability of the MPICH library. Their contributions include adding checks for NULL arguments in MPI function calls to prevent potential errors. They also addressed a concurrency issue in non-contiguous receives and fixed a load distribution problem within the redscat algorithm. Further, the user contributed to adding tests for NULL argument errors.

fortranhpcmpic

Bayyapu/bayyapu.github.io

Feb 2018 - Apr 2019

Contributions:10 pushes, 1 branch in 1 year 1 month

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