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ORCIDTanzima Z. Islam
Person information
- affiliation: Texas State University, San Marcos, TX, USA
- affiliation (former): Lawrence Livermore National Laboratory, CA, USA
- affiliation (former): Western Washington University, Bellingham, WA, USA
- affiliation (former, PhD): Purdue University, West Lafayette, IN, USA
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2020 – today
- 2024
[c26]Mohammad Zaeed, Tanzima Z. Islam, Vladimir Indic:
Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures. COMPSAC 2024: 39-44- [c25]Banooqa H. Banday, Tanzima Z. Islam, Aniruddha Marathe:
PERFGEN: A Synthesis and Evaluation Framework for Performance Data using Generative AI. COMPSAC 2024: 188-197 - [c24]Chase Phelps
, Ankur Lahiry, Tanzima Z. Islam, Line C. Pouchard:
Reimagine Application Performance as a Graph: Novel Graph-Based Method for Performance Anomaly Classification in High-Performance Computing. COMPSAC 2024: 240-245 - [c23]Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele:
Relative Performance Prediction Using Few-Shot Learning. COMPSAC 2024: 1764-1769 - [i5]Tarek Ramadan, Ankur Lahiry, Tanzima Z. Islam:
Novel Representation Learning Technique using Graphs for Performance Analytics. CoRR abs/2401.10799 (2024) - [i4]Tanzima Z. Islam, Aniruddha Marathe, Holland Schutte, Mohammad Zaeed:
Data-Driven Analysis to Understand GPU Hardware Resource Usage of Optimizations. CoRR abs/2408.10143 (2024) - [i3]Banooqa H. Banday, Kowshik Thopalli, Tanzima Z. Islam, Jayaraman J. Thiagarajan:
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation. CoRR abs/2409.03946 (2024) - 2023
- [c22]Arunavo Dey, Tanzima Z. Islam, Chase Phelps, Christopher Kelly:
Signal Processing Based Method for Real-Time Anomaly Detection in High-Performance Computing. COMPSAC 2023: 233-240 - [c21]Chase Phelps, Tanzima Z. Islam:
Automatic Parallelization of Cellular Automata for Heterogeneous Platforms. COMPSAC 2023: 352-361 - [c20]Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard:
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science 2023: 1-7 - [c19]Tarek Ramadan, Ankur Lahiry, Tanzima Z. Islam:
Novel Representation Learning Technique Using Graphs for Performance Analytics. ICMLA 2023: 1311-1318 - 2022
- [c18]Holland Schutte, Chase Phelps, Aniruddha Marathe, Tanzima Z. Islam:
LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool. COMPSAC 2022: 73-82 - [c17]Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira:
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC 2022: 84-92 - 2021
- [c16]Tanzima Z. Islam, Philip Wu Liang, Forest Sweeney, Cody Pranger, Jayaraman J. Thiagarajan, Moushumi Sharmin, Shameem Ahmed:
College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis. COMPSAC 2021: 428-437 - [c15]Quentin Jensen, Filip Jagodzinski, Tanzima Z. Islam:
FILCIO: Application Agnostic I/O Aggregation to Scale Scientific Workflows. COMPSAC 2021: 1587-1592 - [c14]Tanzima Z. Islam, Chase Phelps:
HPC@SCALE: A Hands-on Approach for Training Next-Gen HPC Software Architects. HiPC Workshops 2021: 29-34 - [c13]Tarek Ramadan, Tanzima Z. Islam, Chase Phelps, Nathan Pinnow, Jayaraman J. Thiagarajan:
Comparative Code Structure Analysis using Deep Learning for Performance Prediction. ISPASS 2021: 151-161 - [i2]Nathan Pinnow, Tarek Ramadan, Tanzima Z. Islam, Chase Phelps, Jayaraman J. Thiagarajan:
Comparative Code Structure Analysis using Deep Learning for Performance Prediction. CoRR abs/2102.07660 (2021) - 2020
- [c12]Jack Stratton, Michael Albert, Quentin Jensen, Max Ismailov, Filip Jagodzinski, Tanzima Z. Islam:
Towards Aggregation Based I/O Optimization for Scaling Bioinformatics Applications. COMPSAC 2020: 1250-1255 - [i1]Ritu Arora, Xiaosong Li, Bonnie Hurwitz, Daniel Fay, Dhabaleswar K. Panda, Edward F. Valeev, Shaowen Wang, Shirley Moore, Sunita Chandrasekaran, Ting Cao, Holly Bik, Matthew Curry, Tanzima Z. Islam:
Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program. CoRR abs/2010.15584 (2020)
2010 – 2019
- 2019
- [c11]Tanzima Z. Islam, Alexis Ayala, Quentin Jensen, Khaled Z. Ibrahim:
Toward a Programmable Analysis and Visualization Framework for Interactive Performance Analytics. ProTools@SC 2019: 70-77 - [c10]Tapasya Patki, Jayaraman J. Thiagarajan, Alexis Ayala, Tanzima Z. Islam:
Performance optimality or reproducibility: that is the question. SC 2019: 77:1-77:30 - 2018
- [c9]Nicholas Majeske, Filip Jagodzinski, Brian Hutchinson, Tanzima Z. Islam:
Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations. BCB 2018: 681-686 - [c8]Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Z. Islam, Abhinav Bhatele, Jae-Seung Yeom, Todd Gamblin:
PADDLE: Performance Analysis Using a Data-Driven Learning Environment. IPDPS 2018: 784-793 - 2017
- [j5]Tania Banerjee, Jason Hackl, Mrugesh Shringarpure, Tanzima Z. Islam, S. Balachandar, Thomas L. Jackson, Sanjay Ranka:
A new proxy application for compressible multiphase turbulent flows. Sustain. Comput. Informatics Syst. 16: 11-24 (2017) - [c7]Teng Wang, Adam Moody, Yue Zhu, Kathryn M. Mohror, Kento Sato, Tanzima Z. Islam, Weikuan Yu:
MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers. IPDPS 2017: 1174-1183 - 2016
- [j4]Tanzima Z. Islam, Kathryn M. Mohror, Martin Schulz:
Exploring the MPI tool information interface: features and capabilities. Int. J. High Perform. Comput. Appl. 30(2): 212-222 (2016) - [c6]Tania Banerjee, Jason Hackl, Mrugesh Shringarpure, Tanzima Z. Islam, S. Balachandar, Thomas L. Jackson, Sanjay Ranka:
CMT-Bone - A Proxy Application for Compressible Multiphase Turbulent Flows. HiPC 2016: 173-182 - [c5]Lee Savoie, David K. Lowenthal, Bronis R. de Supinski, Tanzima Z. Islam, Kathryn M. Mohror, Barry Rountree, Martin Schulz:
I/O Aware Power Shifting. IPDPS 2016: 740-749 - [c4]Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin:
A machine learning framework for performance coverage analysis of proxy applications. SC 2016: 538-549 - 2014
- [j3]Anup Mohan, Thomas J. Hacker, Gregory P. Rodgers, Tanzima Z. Islam:
Batchsubmit: a high-volume batch submission system for earthquake engineering simulation. Concurr. Comput. Pract. Exp. 26(13): 2240-2252 (2014) - [j2]Tanzima Zerin Islam, Saurabh Bagchi, Rudolf Eigenmann:
Reliable and Efficient Distributed Checkpointing System for Grid Environments. J. Grid Comput. 12(4): 593-613 (2014) - [c3]Tanzima Z. Islam, Kathryn M. Mohror, Martin Schulz:
Exploring the Capabilities of the New MPI_T Interface. EuroMPI/ASIA 2014: 91 - 2013
- [b1]Tanzima Zerin Islam:
Reliable and scalable checkpointing systems for distributed computing environments. Purdue University, USA, 2013 - [j1]Tanzima Zerin Islam, Kathryn M. Mohror, Saurabh Bagchi, Adam Moody, Bronis R. de Supinski, Rudolf Eigenmann:
McrEngine: A scalable checkpointing system using data-aware aggregation and compression. Sci. Program. 21(3-4): 149-163 (2013) - 2012
- [c2]Tanzima Zerin Islam, Kathryn M. Mohror, Saurabh Bagchi, Adam Moody, Bronis R. de Supinski, Rudolf Eigenmann:
McrEngine: a scalable checkpointing system using data-aware aggregation and compression. SC 2012: 17
2000 – 2009
- 2009
- [c1]Tanzima Zerin Islam, Saurabh Bagchi, Rudolf Eigenmann:
FALCON: a system for reliable checkpoint recovery in shared grid environments. SC 2009
Coauthor Index
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