Per4ML Laboratory

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Tanzima is the director of the Per4ML laboratory. Per4ML's research mission is to enable rapid scientific discoveries with effective cyberinfrastructure utilization. The involved tasks include performance modeling, analysis, and optimization for scientific and deep learning applications running on heterogeneous High-Performance Computing (HPC) systems. Specifically, Per4ML works in the cross-cutting field of data science for HPC by addressing exciting problems in computer systems, machine learning, software development, and visualization. Per4ML has multiple RA and Postdoc positions available for driven and self-motivated individuals interested in developing deep learning techniques for decision-making and applying them to HPC and systems. Please send your CV demonstrating your experience in leveraging ML. Self-motivated undergraduate students can also get involved in research to bolster their resumes. You can contact Tanzima by clicking on the email icon under her name.

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Research and Other Fundings

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• PI, NSF CAREER Award, Title: SPEED: Scalable Performance-aware Engine for Efficient Decision-making on HPC Systems, 650K (2025-2030) 

• PI, Oak Ridge National Labs, $16K (Summer 2024)

• PI, AMD Research Gift, 175K (2021-Present)

• PI,  DOE Early Career Research Program (ECRP), Title: INTELYTICS: An Efficient Data-Driven Decision-Making Engine for Performance In the Era of Heterogeneity, 770K (2022-2027)

• Co-PI, Scalable Metadata And Provenance Services for Reproducible Hybrid Workflows, DOE Next Generation Data Management,  2.43M (2022-2025, TxState: 300K)

• Sub-contract, ICE4HPC: Towards the Intelligent Center for HPC, Laboratory Directed Research and Development at Lawrence Livermore National Laboratory, 750K (2022-2025, TxState: 300K)

• PI, Characterizing Workflow Applications using Machine Learning, DOE SRP-HPC fellowship at Brookhaven National Lab, 68K (2022)

• PI, Research Enhancement Program (REP) at TxState, 8K (2021)

• Member, REU Site: Research Experiences for Undergraduates in Edge Computing, NSF, 389K (2021)

• Co-PI, AMD COVID HPC Grant, 5-petaflops HPC system, 400K (2021) 

• PI, Proxy Application Validation for Exascale Co-design. SRP fellowship at Lawrence Berkeley National Laboratory, 43K (2019)

• PI, Parallel Computing course. Time allocation grant from XSEDE, 100K core hours (2017, 2018, 2021, 2022)

• Co-PI, course development for "Scientific Data Visualization". Office of Research and Sponsored Programs at Western Washington University, 12K (2018)

• PI, Veritas for Understanding Performance Evolution during Code Development. Linking Exploratory Application Research to Next-gen Development at Lawrence Livermore National Laboratory, 200K (2016)

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Awards & Honors

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• Research Millionaire Award, 2024-25, College of Science and Engineering.

• Presidential Seminar Award at TxState, 2023-24, to highlight and recognize superlative research, creative work, or other scholarly efforts undertaken.

• Valero Award by Faculty Senate, 2023-2024.

• The College of Science and Engineering's Presidential Distinction Award for Excellence in Scholarly Activities at TxState, 2023-2024. 

• The College of Science and Engineering’s College Achievement Award for Excellence in Scholarly Activities at TxState, 2021-2022.

• R&D 100 award for Scalable Checkpoint-restart library, 2019-2020, by R&D 100 Magazine.

• Director's Science & Technology Awards and Excellence in Publication, LLNL, 2014.

• 2nd place, Computation Directorate Postdoctoral Poster Symposium LLNL, 2014.

• Best Poster Award, Scholars Symposium@LLNL, 2014, 2015, 2016.

• 2nd place, ACM Student Research Competition (SRC), GHC, 2010.​

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