Our paper, "xAMM: Attention to Details Improves Cross-Platform Prediction Accuracy," (pronounced as "Exam") has been accepted in the ML4Sys/Sys4ML track at CCGrid 2025 (Acceptance rate: 25%)! This research has been funded by LLNL's Fractal project. Kudos, Aakash and the team! 

I will be giving a talk about our research on performance and result reproducibility in the Reproducibility BoF on Tuesday from 5:15-6:45pm in B201 @SC'24.

I had a great time at the CCDSC'24 workshop in Lyon, France. Fun fact: You get invited by Jack Dongarra, the 2022 Turing Award winner, to be in one of those. [Turing Award is equivalent to the Nobel Prize in Computer Science]

I am honored to have been selected as this year's Presidential Seminar Award winner! This award is presented to a TxState faculty for their superlative scholarly and creative activities. 

Our paper titled "Building the I (Interoperability) of FAIR for performance reproducibility of large-scale composable workflows in RECUP" has been accepted at the Reproducible Workflows, Data Management, and Security workshop.

I have been invited to the Rising Stars Panel at UT Austin.

Excited! Our collaborative proposal with Brookhaven National Lab and Argonne National Lab has been funded by DOE. 

I have been invited to give a talk at the CHEOPS workshop colocated with EuroSys'22. 

My invited paper talks about designing an HPC course focusing on distributed memory parallelism and scalable parallel I/O patterns.

Our paper on "comparative Code Structure Analysis using Deep Learning for Performance Prediction" has been accepted at ISPASS'21. 

AMD has granted $100K worth of on-prem and Cloud HPC resources to TXST for COVID-19 related research. Read here: https://www.amd.com/en/corporate/hpc-fund

Gave invited talk "Learning to Manage in Grad School for a Sustainable Career in Future" at Purdue University. Here is an uncut version.

Our paper titled "Performance Optimality or Reproducibility: That is the Question" has been accepted in the performance track at SC'19 (acceptance rate: 72/344 = 20%)! Congratulations to Alex for his first SC paper. 

I have been awarded the prestigious NSF CAREER award this year! This project will achieve my vision of AI4Performance!

Our paper, titled 'Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms,' has been accepted in the WORKS workshop at SC'24. 

Congratulations to Aakash for securing a data analytics internship at LLNL for summer'24!

Our research poster, "Graph-Based Anomaly Detection in Chimbuko: Feasible or Fallible?" has been accepted in the SC'23 research poster session. 

I have been awarded the "Presidential Distinction Award", the highest award for creative and scholarly activities in the College of Science and Engineering (COSE) at TxState.

Thanks AMD for supporting our research through generous gifts!

I have received the Early Career Research award from the Department of Energy (DOE) for the innovative application of deep learning to accelerate real-time performance analytics!

Our paper "libNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool" has been accepted at IEEE COMPSAC'22 (acceptance rate: 23%)!

I won the College of Science and Engineering's "Achievement Award in Scholarly Activities" at TxState. Honored!

Excited to be in the RobustScience virtual café talking about scalability, reproducibility, and trustworthy issues of scientific workflows. 

Organized a panel at ACM Richard Tapia Celebration of Diversity in Computing Conference on High Performance Computing. Take a look: video presentation and slides: https://drive.google.com/file/d/18daQuN8CCdkrIKgm2cHNrUBKJDggfZyx/view?usp=sharing

Our research on scalable checkpoint restart won the R&D 100 award.

Visiting faculty scholar at LBNL with my students for the summer.

Congratulations to Banooqa for her paper titled "On the role of prompt construction in enhancing efficacy and efficiency of llm-based tabular data generation", funded by my ECRP. This project was done in collaboration with Kowshik Thopalli@LLNL and Dr. Jayaraman J. Thiagarajan@Apple.

I am grateful to have received the College of Science and Engineering (CoSE)’s “Research Millionaire” award. This award honors CoSE faculty that have been awarded $1M or more in research grant funding over the past three fiscal years (FY2022-2024). 

Congratulations to Banooqa, Zaeed, Chase+Ankur, and Arunavo for their respective papers at IEEE COMPSAC in Osaka, Japan! These papers range from addressing gaps that enable the effective use of LLMs, GNNs, and transfer learning for performance analytics.

Our paper on using graph-based representation learning for performance analytics has been accepted at International Conference on Machine Learning and Applications (ICMLA)! (Acceptance rate ~25%)

We have two papers accepted at IEEE COMPSAC'23. Congratulations to Arunavo and Chase (acceptance rate: < 27%)! 

Our joint proposal with University of Colorado Boulder to the Sloan Foundation has been funded!

I have received DOE's SRP-HPC fellowship and will be conducting research over the summer as a visiting scholar at Brookhaven National Laboratory. My students--Chase Phelps, Arunavo Dey, and Alicia Guite (sophomore) will also join me.

I am chairing the Performance measurement, modeling, and analysis track at SC this year. Excited and honored!

Congratulations to Chase Phelps and Tarek Ramadan for securing internships at LLNL and LBNL, respectively!

Received funding from the Research Enhancement Program at TXST for developing deep learning models using code structure to predict performance. 

I gave a talk at AMD on my research in performance analysis on various architectures. 

Our paper titled "Towards A Programmable Analysis and Visualization Framework for Interactive Performance Analytics" accepted in the ProTools workshop at SC'19.

I will be talking about my career path in the SDSC booth #3107 (exhibition floor) on Wednesday at 2pm. Thank you WHPC for inviting me to speak. 

I am co-chairing the poster session at ISC'24. Please consider submitting your work. If you would like to serve as a reviewer, please contact me.

Thank you, AMD for continuing to support research on AI/ML-driven performance analytics!

The faculty senate has awarded me the prestigious and selective Valero Award. Thanks!

We have received DOE's SRP-HPC fund again this year, which will allow faculty-led (that's me) research team of 4 students (2 Ph.D.s, 1 M.S. and 1 undergrad) to visit Brookhaven lab in the summer.

Congratulations to Elvis, Zaeed, and Arunavo for getting their lightening talks accepted at NYSDS on how they plan to leverage ML for HPC.

Congratulations to Tarek Ramadan for successfully defending his M.Sc. thesis. 

Thanks to AMD for the 50K gift! This is the second year of our collaboration. Here is to many more!

Our paper "College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis" accepted at COMPSAC'21.

My team will develop performance models for the next-gen AMD GPUs and improve their performance profiler rocprof. Thanks AMD for the gift!

Invited talk at the Exascale Computing Project's annual hackathon organized by ORNL and BNL on Dashing (here).

I have moved! I have joined Texas State University in San Marcos. It was incredibly hard to leave my colleagues, students, and friends in beautiful Bellingham behind.