Experience

Individual contributor to two open-source projects: Chapel and Arkouda

• Technical lead of the Arkouda efforts at HPE. Duties include: technical leadership, prioritization, regular and ad-hoc communication to support stakeholders.
• Actively involved in community interactions: in charge of Chapel’s LinkedIn account, runs the project’s quarterly newsletters, directly supports several Chapel user groups, gives introductory and advanced Chapel talks, served as CHIUW/ChapelCon general chair for several years.
• Led ~5 developers in implementing vendor-neutral GPU support in Chapel, which is considered to be in a mature state now. Duties included: setting up deliverables for each quarterly release; laying the groundwork for the initial implementation and continual technical contributions; helping team members with their sprint planning towards achieving goals; triaging bug reports from users; giving talks, tutorials, and demos on Chapel’s GPU support
• As a member of the performance team, implements compiler optimizations to deliver better performance with minimal/no user effort.
• Serves as a member of the Chapel Technical Steering Committee

Taught the graduate level ECE6105 - Introduction to High-Performance Computing class for a semester. This entailed:

• 14 lectures that were 150-minutes,
• Preparing and grading a midterm and a final exam,
• Preparing weekly homeworks and projects

Worked on the development of open-source parallel programming language Chapel.

• Added a compiler pass to denormalize the abstract syntax tree which resulted in much simpler generated code,
• Implemented bulk index addition support to the native sparse index sets (domain).

Education

• Dissertation Title: Productive Machine Learning Support for Locality Optimizations in Distributed Memory Systems (Best Dissertation Award)

• Electives: Parallel Computing, Computer Architecture, Distributed Systems
• High honor graduation

Committee Memberships

ISC High Performance	2026
Programming Language Design and Implementation (PLDI)	2026
International Conference on Supercomputing (ICS)	2026
Workshop on Asynchronous Many-Task Systems and Applications (WAMTA)	2026
Redefining Scalability for Diversely Heterogeneous Architectures (RSDHA)	2023, 2026
HPE Tech Con - Reviewer	2025, 2026
IEEE/ACM Supercomputing (SC)	2024, 2025
Chapel Implementers and Users Workshop (CHIUW) - Chair	2021-2023
ACM International Conference on Parallel Processing (ICPP)	2022
IEEE International Parallel and Distributed Processing Symposium (IPDPS)	2022
ACM Principles and Practice of Parallel Programming (PPoPP)	2022
Chapel Implementers and Users Workshop (CHIUW)	2020
Parallel Applications Workshop: Alternatives To MPI (PAW-ATM)	2020
Parallel Applications Workshop: Alternatives to MPI (PAW-ATM)	2023-2025
ChapelCon - General Chair	2024
IEEE/ACM Cluster, Cloud and Grid Computing (CCGrid)	2018
Elsevier Future Generation Computer Systems (FGCS)
IEEE Pacific Rim Conf. on Communications, Computers and Signal Proc. (PACRIM)	2019
IEEE Networking, Architecture, and Storage (NAS)	2018
IEEE Application-specific Systems, Architectures and Processors (ASAP)	2015,2016

Teaching & Mentoring

Mentor - Bilkent University Mentorship Program	2019-Present
Mentor - Google Summer of Code	2017-2021
Lecturer - The George Washington University	2018
Coach - Rails Girls Summer of Code	2018
Graduate Teaching Assistant - The George Washington University	2013-2016
Undergraduate Teaching Assistant - Bilkent University	2011-2013

Honors & Awards

Participant - IEEE/ACM Supercomputing (SC) Early Career Program	2021
Winner - GWU ECE Best Dissertation Award	2020
Runner-up - GWU Innovation Showcase	2019
Presenter - Travel Award - IEEE/ACM Supercomputing (SC)	2018
Outstanding Service Award - IEEE/ACM CCGrid	2018
Winner - GWU Research Days	2018
Runner-up - GWU School of Engineering and Applied Science R&D Showcase	2017
Participant - Travel Award - European Commission Human Brain Project (HBP) School	2014
11th - University Entrance Exam	2008

Talks

1. Scalable Parallel Programming with Chapel: From Multicore CPUs to GPU-Powered Supercomputers (a.k.a What Chapel Users Get Done and How) LUMI User Coffee Breaks October 2025

2. Chapel’s Batteries-Included Approach for Portable Parallel Programming Los Alamos National Laboratory - Advances in Applied Computer Science Invited Speaker Series June 2025

3. High-Performance, Productive Programming using Chapel with Examples from the CFD Solver CHAMPS NASA Ames Research Center February 2025 (In collaboration with Eric Laurendeau and Karim Zayni.)

4. The Chapel Parallel Programming Language and its Ecosystem HPE Inner Sourcing Summit II. October 2024. (In collaboration with Jade Abraham.)

5. Vendor-Neutral GPU Programming in Chapel HPE Developer Meetup. July 2024. (In collaboration with Jade Abraham.)

6. Making Parallel Programming and GPUs More Accessible with Chapel AMD Developer Sync (Internal to AMD). May 2024.

7. Portable Support for GPUs and Distributed-Memory Parallelism in Chapel Cray Users Group (CUG). May 2024. (In collaboration with and presented by Andy Stone)

8. High-Level, Vendor-Neutral GPU Programming in Chapel Hewlett Packard Enterprise (Internal). Jan 2024.

9. Generating GPU Kernels from Chapel’s Features for Parallelism and Locality SIAM PP22. Feb 2022

10. High-Performance Computing and Advanced Programmer Productivity Bilkent University. Jan 2020.

Publications

1. Investigating Portability in Chapel for Tree-based Optimization on GPU-powered Clusters Tiago Carneiro; Engin Kayraklioglu; Guillaume Helbecque; Nouredine Melab; Euro-Par 2024

2. Productive, Vendor-Neutral GPU Programming Using Chapel Engin Kayraklioglu; Andy Stone; WACCPD 2024 (SC)

3. Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator Jeff Anderson; Engin Kayraklioglu; Hamid Reza Imani; Chen Shen; Mario Miscuglio; Volker J Sorger; Tarek El-Ghazawi; ACM TECS Volume 22, Issue 2 (2023)

4. Recent GPU Programming Improvements in Chapel Engin Kayraklioglu; Andy Stone; Daniel Fedorin; CHIUW 2023

5. Targeting GPUs Using Chapel’s Locality and Parallelism Features Engin Kayraklioglu; Andy Stone; David Iten; Sarah Nguyen; Michael Ferguson; Michelle Strout; CHIUW 2022

6. Locality-Based Optimizations in the Chapel Compiler Engin Kayraklioglu; Elliot Ronaghan; Michael P Ferguson; Bradford L Chamberlain; LCPC 2021

7. Development of Parallel CFD Applications with the Chapel Programming Language Matthieu Parenteau; Simon Bourgault-Cote; Frédéric Plante; Engin Kayraklioglu; Eric Laurendeau; AIAA Scitech 2021 Forum 2021

8. A Machine-Learning-Based Framework for Productive Locality Exploitation Engin Kayraklioglu; Erwan Favry; Tarek El-Ghazawi; *IEEE TPDS Volume 32, Issue 6 (2021)

9. Induced Homomorphism: Kirchhoff’s Law in Photonics Shuai Sun; Mario Miscuglio; Xiaoxuan Ma; Zhizhen Ma; Chen Shen; Engin Kayraklioglu; Jeffery Anderson; Tarek El Ghazawi; Volker J Sorger; Nanophotonics 2020

10. ROC: A Reconfigurable Optical Computer for Simulating Physical Processes Jeff Anderson; Engin Kayraklioglu; Shuai Sun; Joseph Crandall; Yousra Alkabani; Vikram Narayana; Volker Sorger; Tarek El-Ghazawi; ACM TOPC Volume 7, Issue 1 (2020)

11. Software Stack for an Analog Mesh Computer: The Case of a Nanophotonic PDE Accelerator Engin Kayraklioglu; Jeff Anderson; Hamid Reza Imani; Volker Sorger; Tarek El-Ghazawi; ACM Frontiers 2020

12. An Automated Machine Learning Approach for Data Locality Optimizations in Chapel Engin Kayraklioglu; Tarek El-Ghazawi; CHIUW 2020 (IPDPS)

13. Virtualizing Analog Mesh Computers: The Case of a Photonic PDE Solving Accelerator Jeff Anderson; Engin Kayraklioglu; Hamid Reza Imani; Mario Miscuglio; Volker J Sorger; Tarek El-Ghazawi; ICRC 2020

14. A Machine Learning Approach for Productive Data Locality Exploitation in Parallel Computing Systems Engin Kayraklioglu; Erwan Favry; Tarek El-Ghazawi; CCGrid 2019

15. One-to-Three Silicon Photonic Grid Power Splitter for Optical Mesh Solver Shuai Sun; Mario Miscuglio; Ruoyu Zhang; Zhizhen Ma; Engin Kayraklioglu; Tarek El-Ghazawi; Volker J Sorger; Laser Science 2019, Optica

16. APAT: An Access Pattern Analysis Tool for Distributed Arrays Engin Kayraklioglu; Tarek El-Ghazawi; ACM Frontiers 2018

17. LAPPS: Locality-Aware Productive Prefetching Support for PGAS Engin Kayraklioglu; Michael P Ferguson; Tarek El-Ghazawi; ACM TACO Volume 15, Issue 3 (2018)

18. Productive Data Locality Optimizations in Distributed Memory Engin Kayraklioglu; Tarek El-Ghazawi; SC18 Doctoral Showcase

19. Comparative Performance and Optimization of Chapel in Modern Manycore Architectures Engin Kayraklioglu; Wo Chang; Tarek El-Ghazawi; CHIUW 2017 (IPDPS)

20. HPC-Oriented Toolchain for Hardware Simulators Olivier Serres; Engin Kayraklioglu; Tarek El-Ghazawi; CLUSTER 2017

21. PGAS Access Overhead Characterization in Chapel Engin Kayraklioglu; Olivier Serres; Ahmad Anbar; Hashem Elezabi; Tarek El-Ghazawi; CHIUW 2016 (IPDPS)

22. Exploiting Hierarchical Locality in Deep Parallel Architectures Ahmad Anbar; Olivier Serres; Engin Kayraklioglu; Abdel-Hameed A Badawy; Tarek El-Ghazawi; ACM TACO Volume 13, Issue 2 (2016)

23. Assessing Memory Access Performance of Chapel through Synthetic Benchmarks Engin Kayraklioglu, Tarek El-Ghazawi; CCGrid 2015

24. PHLAME: Hierarchical Locality Exploitation Using the PGAS Model Ahmad Anbar; Olivier Serres; Engin Kayraklioglu; Abdel-Hameed Badawy; Tarek El-Ghazawi; PGAS 2015

25. Accelerating Brain Simulations on Graphical Processing Units Engin Kayraklioglu; Tarek El-Ghazawi; Zeki Bozkus; CIT 2015

26. Leveraging Hierarchical Data Locality in Parallel Programming Models Ahmad Anbar; Engin Kayraklioglu; Olivier Serres; Tarek El Ghazawi; HPCC 2014