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.

Super excited to be a part of the Computer Systems Engineering (CSE) track at GHC 2019. About time women working in computer systems meet!

I am the vice-chair of the performance track at ICPP 2019. Make sure to submit your work at the conference.

Our paper titled "PADDLE: Performance Analysis using a Data-driven Learning Environment" has been accepted at IPDPS 2018!

I will serve as a TPC member for the performance track in SC'17.

Attending IPDPS 2016 in Chicago. Our paper on "I/O aware power shifting" will be presented in the "I/O and Storage Track".

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!

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).

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

Received the DOE SRP fellowship for my proposal titled "Proxy application validation for Exascale Co-design".

Attending the CRA-W Career mentoring workshop in Phonix, AZ.

Received XSEDE allocation grant for my Parallel Computing course. Happy computing!

Joined as an Assistant Professor in CS at WWU. 

Our paper titled "CMT-bone - A Proxy Application for Compressible Multiphase Turbulent Flows" has been accepted in the 23rd IEEE International Conference on High Performance Computing, Data, and Analytics that will be held in Hyderabad, India during Dec 19-22 2016.

Heard back from the LLNL research council and they are interested to move forward with my LEARN proposal. The idea is about developing machine-learning techniques for correlating a plethora of system performance metrics to application performance.

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.

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. 

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. 

Congratulations to Gian-Carlo for getting his first research poster accepted at ISC'19! 

Invited to present my research at the Sustainable Research Pathways Program in Lawrence Berkeley National Laboratory

Our paper titled "Low Rank Smoothed Sampling Methods for Identifying Impactful Pair-wise Mutations" has been accepted at ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Congratulations Nick!

Our paper on scalable file system for burst buffers titled "MetaKV: A key-value store for metadata management of distributed burst buffers" has been accepted in IPDPS'17 [Acceptance rate ~22%].

My paper with the title "A Machine Learning Framework for Performance Coverage Analysis of Proxy Applications" has been accepted in the International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2016! 

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 am organizing the first workshop on how different application domains generate and analyze big data by leveraging HPC. The workshop (BDCAA) will be organized in conjunction with the IEEE COMPSAC'19 in Mulwaukee. 

Our poster titled "Automatic Generation of Mixed-Precision Programs" has been accepted at SC'18. This work has been done in collaboration with LLNL.

Several of my students are interning at research labs such as LLNL, PNNL. Happy summer!

I am a TPC member of the workshop "Advancing Science via Large Scale Text Analytics over Scientific Articles" that will be hosted as a part of the IEEE International Conference on Distributed Computing Systems (ICDCS) 2017.

Started my own project as the PI on applying machine-learning to analyze application performance. The coolest parts of my project are (a) managing an awesome team; (b) working directly with the applications that are important for LLNL. Excited!