Tanzima Z. Islam

Orcid: 0000-0003-2877-5871

Affiliations:
  • Texas State University, San Marcos, TX, USA
  • Lawrence Livermore National Laboratory, CA, USA (former)
  • Western Washington University, Bellingham, WA, USA (former)
  • Purdue University, West Lafayette, IN, USA (former, PhD)


According to our database1, Tanzima Z. Islam authored at least 34 papers between 2009 and 2024.

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Bibliography

2024
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation.
CoRR, 2024

Data-Driven Analysis to Understand GPU Hardware Resource Usage of Optimizations.
CoRR, 2024

Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Reimagine Application Performance as a Graph: Novel Graph-Based Method for Performance Anomaly Classification in High-Performance Computing.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Relative Performance Prediction Using Few-Shot Learning.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

PERFGEN: A Synthesis and Evaluation Framework for Performance Data using Generative AI.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Novel Representation Learning Technique Using Graphs for Performance Analytics.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Automatic Parallelization of Cellular Automata for Heterogeneous Platforms.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Signal Processing Based Method for Real-Time Anomaly Detection in High-Performance Computing.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Comparative Code Structure Analysis using Deep Learning for Performance Prediction.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

HPC@SCALE: A Hands-on Approach for Training Next-Gen HPC Software Architects.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

FILCIO: Application Agnostic I/O Aggregation to Scale Scientific Workflows.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program.
CoRR, 2020

Towards Aggregation Based I/O Optimization for Scaling Bioinformatics Applications.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
Performance optimality or reproducibility: that is the question.
Proceedings of the International Conference for High Performance Computing, 2019

Toward a Programmable Analysis and Visualization Framework for Interactive Performance Analytics.
Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2019

2018
PADDLE: Performance Analysis Using a Data-Driven Learning Environment.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
A new proxy application for compressible multiphase turbulent flows.
Sustain. Comput. Informatics Syst., 2017

MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016
Exploring the MPI tool information interface: features and capabilities.
Int. J. High Perform. Comput. Appl., 2016

A machine learning framework for performance coverage analysis of proxy applications.
Proceedings of the International Conference for High Performance Computing, 2016

I/O Aware Power Shifting.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

CMT-Bone - A Proxy Application for Compressible Multiphase Turbulent Flows.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

2014
Reliable and Efficient Distributed Checkpointing System for Grid Environments.
J. Grid Comput., 2014

Batchsubmit: a high-volume batch submission system for earthquake engineering simulation.
Concurr. Comput. Pract. Exp., 2014

Exploring the Capabilities of the New MPI_T Interface.
Proceedings of the 21st European MPI Users' Group Meeting, 2014

2013
Reliable and scalable checkpointing systems for distributed computing environments
PhD thesis, 2013

McrEngine: A scalable checkpointing system using data-aware aggregation and compression.
Sci. Program., 2013

2009
FALCON: a system for reliable checkpoint recovery in shared grid environments.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009


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