2024

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• Banooqa H. Banday, Tanzima Z. Islam, and Aniruddha Marathe. Perfgen: A synthesis and evaluation framework for performance data using generative AI. In 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. (Accepted). Acceptance rate: 24%.

• Arunavo Dey, Aakash Dhakal, Jae-Seung Yeom, Tanzima Z. Islam, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, and Abhinav Bhatele. Relative performance prediction using few-shot learning. In 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. (Accepted). Acceptance rate: 24%.

• Elvis G. Fefey and Tanzima Islam. Toward efficient deep learning inference: On-node heterogeneous scheduling in edge-cloud infrastructure. In 2024 IEEE Cloud Summit, pages 73–78, 2024.

• Chase Phelps, Ankur Lahiry, Tanzima Z. Islam, and Line Pouchard. Reimagine application performance as a graph: Novel graph-based method for performance anomaly classification in high-performance computing. In 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. (Accepted). Acceptance rate: 24%.

• Mohammad Zaeed, Tanzima Z. Islam, and Vladimir Indic. Characterize and compare the performance of deep learning optimizers in recurrent neural network architectures. In 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. (Accepted). Acceptance rate: 24%.

• Amal Gueroudji, Chase Phelps, Tanzima Z. Islam, Philip Carns, Shane Snyder, Matthieu Dorier, Robert B. Ross, and Line C. Pouchard. Performance characterization and provenance of distributed task-based workflows on HPC platforms. In 2024 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), Nov 2024. (Accepted).

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2023

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• T. Ramadan, A. Lahiry and T. Z. Islam, "Novel Representation Learning Technique Using Graphs for Performance Analytics," 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023, pp. 1311-1318, doi: 10.1109/ICMLA58977.2023.00198.

• Bogdan Nicolae, Tanzima Islam, Robert Ross, Hub Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur Kilic, Shantenu Jha and Line Pouchard, "Building the I (Interoperability) of FAIR for performance reproducibility of large-scale composable workflows in RECUP", 3rd Workshop on Reproducible Workflows, Data Management, and Security, eScience, Cypress, 2023.

• C. Phelps and T. Z. Islam, "Automatic Parallelization of Cellular Automata for Heterogeneous Platforms," 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), Torino, Italy, 2023, pp. 352-361, doi: 10.1109/COMPSAC57700.2023.00055.

• A. Dey, T. Islam, C. Phelps and C. Kelly, "Signal Processing Based Method for Real-Time Anomaly Detection in High-Performance Computing," 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), Torino, Italy, 2023, pp. 233-240, doi: 10.1109/COMPSAC57700.2023.00037.

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2022

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• L. Pouchard, T. Z. Islam, B. Nicolae, R. Ross, "A (Meta)data Framework for Reproducing Hybrid Workflows with FAIR", 17th Workshop on Workflows in Support of Large-Scale Science (WORKS22) at SC'22. 

• A. Guite, T. Z. Islam, C. Kelley, W. Xu, "Interactive Visual Analysis Tool for Anomaly Provenance Data". Research Poster at International Conference for High Performance Computing, Networking, Storage, and Analysis 2022. (Undergrad co-author underlined)

• M. Zaeed, T. Z. Islam, Y. Cho, X. S. Li, H. Luo, Y. Liu, "Analysis and Visualization of Important Performance Counters To Enhance Interpretability of Autotuner Output". Research Poster at International Conference for High Performance Computing, Networking, Storage, and Analysis 2022.

• H. Schutte, C. Phelps, A. Marathe, T. Z. Islam, "LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool". 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 2022, pp. 73-82, doi: 10.1109/COMPSAC54236.2022.00019. (Undergrad co-author underlined)

• [Book Chapter] C. Daw, B.B. Cruz, N. Majeske, F. Jagodzinski, T. Z. Islam, B. Hutchinson. (2022), "Low-Rank Approximation Methods for Identifying Impactful Pairwise Protein Mutations". Algorithms and Methods in Structural Bioinformatics. Computational Biology. Springer, Cham. https://doi.org/10.1007/978-3-031-05914-8_4

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2021

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• T. Z. Islam, P. W. Liang, F. Sweeney, C. Pranger, J. J. Thiagarajan, S. Ahmed, "College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis". Accepted in COMPSAC 2021. (Undergrad co-authors underlined)

• N. Pinnow, T. Ramadan, T. Z. Islam, J. J. Thiagarajan, C. Phelps, "Comparative Code Structure Analysis using Deep Learning for Performance Prediction". Accepted in ISPASS 2021. [pdf]

• Q. Jensen, F. Jagodzinski, T. Z. Islam, "FILCIO: Application Agnostic I/O Aggregation to Scale Scientific Workflows". 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 1587-1592, doi: 10.1109/COMPSAC51774.2021.00236.

• T. Z. Islam and C. Phelps, "HPC@SCALE: A Hands-on Approach for Training Next-Gen HPC Software Architects," 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics Workshop (HiPCW), 2021, pp. 29-34, doi: 10.1109/HiPCW54834.2021.00011.

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2020

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• J., Stratton, M. Albert, Q. Jensen, M. Ismailov, F. Jagodzinski, T. Z. Islam. (2020, July). Towards Aggregation Based I/O Optimization for Scaling Bioinformatics Applications. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1250-1255). IEEE. (Undergrad co-author underlined)

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2019

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• T. Z. Islam, A. Ayala, Q. Jensen, K. Ibrahim, "Towards A Programmable Analysis and Visualization Framework for Interactive Performance Analytics". ProTools workshop in conjunction with International Conference for High Performance Computing, Networking, Storage and Analysis 2019. (Undergrad co-authors underlined)

• T. Patki, J. J. Thiagarajan, A. Ayala, T. Z. Islam, "Performance Optimality or Reproducibility: That is the Question". International Conference for High Performance Computing, Networking, Storage and Analysis 2019. (Acceptance rate: 72/344 = 20%) (Undergrad co-author underlined)

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2018

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• J. J. Thiagarajan, B. Kailkhura, R. Anirudh, N. Jain, T. Z. Islam, A. Bhatele, J. Yeom, and T. Gamblin, "PADDLE: Performance Analysis using a Data-driven Learning Environment". IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2018. [pdf]

• N. Majeske, F. Jagodzinski, B. Hutchinson, T. Z. Islam. “Low Rank Smoothed Sampling Methods for Identifying Impactful Pair-wise Mutations”. At the Computational Structural Bioinformatics Workshop, held in conjunction with the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) 2018.

• L. Moody, N. Pinnow, M. Lam, H. Menon, M. Schordan, G. Lloyd, T. Z. Islam, "Automatic Generation of Mixed-Precision Programs". Research poster at International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2018. (Accpeted)

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2017

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• T. Wang, A. Moody, Y. Zhu, K. Mohror, K. Sato, T. Z. Islam, W. Yu, "MetaKV: A key-value store for metadata management of distributed burst buffers". IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2017. [pdf]

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2016

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• T. Banerjee, J. Hackl, M. Sringarpure, T. Z. Islam, S. Balachandar, T. Jackson, and S. Ranka, "CMT-bone A Proxy Application for Compressible Multiphase Turbulent Flows". International Conference on High Performance Computing, Data, and Analytics 2016. [pdf]

• T. Z. Islam, J. J. Thiagarajan, A. Bhatele, M. Schulz, and T. Gamblin, "A Machine Learning Framework for Performance Coverage Analysis of Proxy Applications". International Conference for High Performance Computing, Networking, Storage and Analysis 2016. [pdf]

• L. Savoie, D. Lowenthal, B. R. de Supinski, T. Z. Islam, K. Mohror, B. Rountree, and M. Schulz, "I/O Aware Power Shifting". IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2016. [pdf]

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2015

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• T. Z. Islam, K. Mohror, and M. Schulz, “Exploring the MPI Tool Information Interface: Features and Capabilities”. International Journal of High Performance Computing Applications (IJHPCA) 2015. [pdf]

• A. Fang, I. Laguna, K. Sato, T. Z. Islam, and K. Mohror, “Fault Tolerance Assistant (FTA): An Exception Handling Approach for MPI Programs”. Extended abstract in International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2015.

• S. Smarr, T. Z. Islam, and Y. Rankin, “Modular Extensible Framework for Performance Comparative Analysis”. ACM Richard Tapia Celebration of Diversity in Computing Conference 2015. (Undergrad co-author underlined)

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2014

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• T. Z. Islam, S. Bagchi, and R. Eigenmann, “Reliable and Efficient Distributed Checkpointing System for Grid Environments”. Journal of Grid Computing (JoGC) 2014. [pdf]

• A. Mohan, T. J. Hacker, G. P. Rogers, and T. Z. Islam, “Batchsubmit: A High-Volume Batch Submission System for Earthquake Engineering Simulation”. Concurrency and Computation: Practice and Experience 2014. [pdf]

• X. Ni, T. Z. Islam, K. Mohror, A. Moody, and L. V. Kale, “Lossy Compression for Checkpointing: Fallible or Feasible?”. ACM Student Research Competition (SRC) in International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2014.

• T. Z. Islam, K. Mohror, and M. Schulz, “Exploring the Capabilities of the New MPI_T Interface”. 21st European MPI Users’ Group Meeting, EuroMPI/ASIA 2014. [pdf]

• J. R. Tramm, A. R. Siegel, T. Z. Islam, and M. Schulz, “XSBENCH - The Development And Verification of a Performance Abstraction for Monte Carlo Reactor Analysis”. The Role of Reactor Physics toward a Sustainable Future (PHYSOR) 2014. [pdf]

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2013

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• T. Z. Islam. "Reliable and Scalable Checkpointing Systems for Distributed Computing Environments". Ph.D. thesis. Purdue University, May 2013. 

• T. Z. Islam, K. Mohror, S. Bagchi, A. Moody, B. R. de Supinski, and R. Eigenmann, “McrEngine: A Scalable Checkpointing System using Data-Aware Aggregation and Compression”. Scientific Programming 2013. [pdf]

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2012

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• T. Z. Islam, K. Mohror, S. Bagchi, A. Moody, B. R. de Supinski, and R. Eigenmann, “McrEngine: A Scalable Checkpointing System using Data-Aware Aggregation and Compression”. International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2012. Nominated for the Best Student Paper Award. [pdf]

• T. Z. Islam, A. Cauble-Chantrenne, K. Mohror, and B. Rountree, “Towards Automatic Cache Performance Analysis and Optimization”. Computation Poster Symposium, Lawrence Livermore National Laboratory 2012. [pdf]

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2011

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• M. S. Hossain, T. Z. Islam, J. Wei, S. Bagchi, and V. Raghunathan, “Eunomia: A Fast and Collaborative Interference Avoidance Technique for Wireless Medical Devices”. ECE Technical Reports, Purdue University 2011.

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2010

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• T. Z. Islam, S. Bagchi, and R. Eigenmann, “Harnessing Multiple Cores for Efficient Checkpointing in Grid Systems”. 2nd place winner in ACM Student Research Competition (SRC) at the 2010 Anita Borg Institute Grace Hopper Celebration of Women in Computing.

• T. Z. Islam, K. Mohror, A. Moody, B. de Supinski, S. Bagchi, and R. Eigenmann, “Data-Aware Inter-Process Checkpoint Compression”. International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2010.

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2009

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• T. Z. Islam, S. Bagchi, and R. Eigenmann, “Falcon: A System for Reliable Checkpoint Recovery in Shared Grid Environments”. International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2009. Nominated for the Best Student Paper Award. [pdf][ppt]

• M. S. Hossain, T. Z. Islam, S. Bagchi, and V. Raghunathan, “Fast and Collaborative Interference Avoidance for Wireless Medical Devices”. Short paper in International Conference on Dependable Systems and Networks (DSN) 2009.

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2006

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• H. Hossain, M. Ahmed, A. Al-Nayeem, T. Z. Islam, and M. Akbar, “GpNoCsim: A General Purpose Simulator for Network-On-Chip”. International Conference on Information and Communication Technology (ICICT) 2006, Dhaka. [pdf] (Undergrad)