Khaled Abdelaal

khaled.abdelaal@ou.edu

PhD Candidate, School of Computer Science

The University of Oklahoma

About Me

I am a PhD Candidate in the School of Computer Science, University of Oklahoma. My research interests are in High-Performance Computing with a focus on sparse and graph data workloads, Heterogeneous computing, and Computer Architecture.

News

10/15/2023: I am graduating in May 2024 and I am on the job market! I am looking for full-time opportunities (Research and/or Engineering) in the area of high-performance computing and GPU development/optimization engineering.

Publications

2024

Khaled Abdelaal.

"Bridging the Gap Between Sparse Matrix Computation and Graph Models"

PhD Dissertation

Khaled Abdelaal and Richard Veras.

"A Framework for Analyzing the Performance of Sparse Matrix and Graph Operations."

Under Review.

2023

Khaled Abdelaal and Richard Veras.

"A Framework for Analyzing the Robustness of Graph Models"

IEEE High Performance Extreme Computing Conference (HPEC).

Khaled Abdelaal and Richard Veras.

"Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure"

International Work-Conference on Artificial Neural Networks (IWANN).

2022

Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis, Thomas Scogland, and Konstantinos Parasyris.

"Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer"

International Conference on Parallel Architectures and Compilation Techniques (PACT)

2021

Khaled Abdelaal and Martin Kong.

"Tile Size Selection of Affine Programs for GPGPUs using Polyhedral Cross-Compilation"

International Conference on Supercomputing (ICS).

Khaled Abdelaal, Richard Veras, and Martin Kong.

"Pattern-Aware Vectorization for Sparse Matrix Computation".

Poster presented at IEEE International Parallel and Distributed Processing Symposium (IPDPS) PhD Forum.

2020

Chao Zhang, Khaled Abdelaal, Angel Chen, Xinhui Zhao, Wujie Wen, and Xiaochen Guo.

"ECC Cache: A Lightweight Error Detection for Phase-Change Memory Stuck-At Faults"

International Conference on Computer-Aided Design (ICCAD).

2017

Khaled M. Attia, Mostafa El-Hosseini, Hesham A. Ali.

"Dynamic Power Management Techniques in Multi-Core Architectures: A Survey Study"

in Ain Shams Engineering Journal, Volume 8, Issue 3, 2017.

Internships

HPC Research Aide

Argonne National Laboratory Lemont, IL Summer 2021

GPU Compiler Engineering Intern

Intel Corporation Santa Clara, CA Summer 2022

GPU Compiler Engineering Intern

Intel Corporation Santa Clara, CA Summer 2023

Teaching Experience

- CS 2334: Programming Structures and Abstractions, University of Oklahoma (Fall 2021, Spring 2022, Fall 2022)

- ECE 033: Introduction to Computer Engineering, Lehigh University (Fall 2019)