Biography
Tanzima Islam is an assistant professor at Western Washington University (WWU). Before joining WWU, Dr. Islam earned her Ph.D. in Computer Engineering from Purdue University and was a postdoctoral scholar at Lawrence Livermore National Laboratory. Broadly, Dr. Islam’s research interests lie in leveraging data-driven analysis approaches to understand the scalability bottlenecks of HPC applications, and develop system solutions, where applicable, to mitigate them. While her most recent work focuses on developing machine learning models for characterizing, comparing, and predicting the compute performance of applications, her past work involved developing scalable checkpointing systems and scientific data compression methods. Dr. Islam has published in international conferences and journals, and received the Director’s Science & Technology award from LLNL for scaling checkpointing systems significantly for HPC environments. Her diverse research background enables Dr. Islam to collaborate regularly with various national laboratories, academic institutions, and the industry.
Presentations
Paper
Best Practices
Energy
Exascale
Machine Learning
Memory
Modelling
Networks
Performance
Power
Reliability
Reproducibility
TP
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