College achievement award
I won the College of Science and Engineering's "Achievement Award in Scholarly Activities" at TxState. Honored!
RobustScience Community I
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
R&D 100 Award Winner
Our research on scalable checkpoint restart won the R&D 100 award.
Visiting faculty scholar at LBNL with my students for the summer.
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.
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 paper titled "Fault Tolerance Assistant (FTA): An Exception Handling Approach for MPI Programs" has been accepted in the ExaMPI workshop at SC'15.
My work on proxy application validation is one of the few projects that have been selected to showcase LLNL's research in achieving the laboratory's mission to the External Review Committee (ERC).
My poster on proxy application validation secured the 2nd place in Computation's Annual Postdoc Poster Symposium.
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.
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.
Best poster 2015
Our poster titled "Towards Scientific-Data Compression Using Variable Clustering" received the Best Poster Award in the Computation Directorate's scholar poster session at LLNL.
I presented my work on proxy application validation at the Joint Operations Weapons Operations Group (JOWOG) 34 meeting at Sandia National Laboratory in New Mexico.
Our paper "College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis" accepted at COMPSAC'21.
AMD Research Gift
My team will develop performance models for the next-gen AMD GPUs and improve their performance profiler rocprof. Thanks AMD for the gift!
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
Several of my students are interning at research labs such as LLNL, PNNL. Happy summer!
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!
I have been invited as a Program Committee member at the workshop "Tools for Program Development and Analysis in Computational Science" co-located with ICCS 2016.
Our paper titled "Exploring the MPI Tool Information Interface: Features and Capabilities" has been accepted in IJHPCA.
Our poster on the feasibility of applying lossy compression on checkpoints has been accepted in SC'14.
Our paper on "comparative Code Structure Analysis using Deep Learning for Performance Prediction" has been accepted at ISPASS'21.
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.
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 "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!
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!
Our paper titled "I/O Aware Power Shifting" has been accepted in IPDPS 2016.
My work titled "Reliable and Efficient Distributed Checkpointing System for Grid Environments" has been accepted in Journal of Grid Computing.
Our poster titled "Lossy Compression for Checkpointing: Fallible or Feasible?" received the Best Poster Award in the 2014 Computation Directorate's scholar poster symposium.