Hi, I am a CS Ph.D. candidate at UNC Charlotte, where I am fortunate to be advised by Prof. Dong Dai on storage systems. My research centers on the design of data storage applications and systems, leveraging the unique characteristics of underlying storage technologies. My Ph.D. research focuses on building a high-performance dynamic graph processing framework tailored for emerging storage technologies, such as non-volatile memory. I am particularly interested in developing intelligent and adaptive data structures to efficiently store dynamic graphs while preserving the efficiency of graph analysis.
In addition to my core research focus, I am also engaged in research on parallel sparse matrix computations, specifically in the areas of Sparse General Matrix-Matrix Multiplication (SpGEMM). I actively collaborate on other storage systems-related projects, such as a parallel file system (PFS) checker and crash consistency testing for persistent memory.
Prior to UNC Charlotte, I was appointed as Principal Software Engineer at TigerIT Bangladesh Ltd. where I led a couple of ML and data management related engineering projects. I obtained my bachelor’s degree from University of Dhaka.
[CV] [Google Scholar] [CSAuthors] [GitHub] [LinkedIn] [Twitter]
DGAP: Efficient Dynamic Graph Analysis on Persistent Memory. [Code]
Abdullah Al Raqibul Islam and Dong Dai.
SC 2023. (Acceptance Rate: 23.94%)
FaultyRank: A Graph-based Parallel File System Checker. [Code]
Saisha Kamat, Abdullah Al Raqibul Islam, Mai Zheng and Dong Dai.
IPDPS 2023. (Acceptance Rate: 25.7%)
Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures.
Karim Youssef, Abdullah Al Raqibul Islam, Keita Iwabuchi, Wu-chun Feng and Roger Pearce.
HPEC 2022. Outstanding Student Paper Award.
VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array. [Code] [Slides]
Abdullah Al Raqibul Islam, Dong Dai and Dazhao Cheng.
CCGRID 2022. (Acceptance Rate: 24.83%)
A Performance Study of Optane Persistent Memory: From Indexing Data Structures’ Perspective. [Code] [Slides]
Abdullah Al Raqibul Islam, Anirudh Narayanan, Christopher York and Dong Dai.
MSST 2020. (Acceptance Rate: 29%)
Efficient Large Dynamic Graph Analysis on Emerging Storage Technology.
Abdullah Al Raqibul Islam and Dong Dai.
SC 2024. Doctoral Showcases.
Improving SpGEMM Performance Through Reordering and Cluster-wise Computation.
Abdullah Al Raqibul Islam, Helen Xu, Dong Dai, and Aydin Buluç.
SC 2024. ACM SRC Posters.
Efficient Large Dynamic Graph Analysis on Emerging Storage Technology.
Abdullah Al Raqibul Islam and Dong Dai.
IPDPS 2023. PhD Forum.
A Framework for Large Dynamic Graph Analysis on Persistent Memory. [Slides]
Abdullah Al Raqibul Islam and Dong Dai.
FAST 2023. WiP.
On the Scalability of Testing the Crash Consistency of PM Systems. [Slides]
Duo Zhang, Om Rameshwar Gatla, Abdullah Al Raqibul Islam, Dong Dai, and Mai Zheng.
FAST 2023. WiP and Poster.
Understand the Overheads of Storage Data Structures on Persistent Memory. [Code] [Slides]
Abdullah Al Raqibul Islam and Dong Dai.
PPoPP 2020. Brief Announcement.
aislam6@uncc.edu