News
AMD gift
Jan 2023
Thanks AMD for supporting our research through generous gifts!
Grants
DOE ECRP Award
June 2022
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!
Award
COMPSAC'22
April 2022
Our paper "libNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool" has been accepted at IEEE COMPSAC'22 (acceptance rate: 23%)!
Paper
College achievement award
Aug 2021
I won the College of Science and Engineering's "Achievement Award in Scholarly Activities" at TxState. Honored!
Award
RobustScience Community I
Feb 2021
Excited to be in the RobustScience virtual cafƩ talking about scalability, reproducibility, and trustworthy issues of scientific workflows.
Service
Tapia 2020
Sept 2020
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
Service
R&D 100 Award Winner
Dec 2019
Our research on scalable checkpoint restart won the R&D 100 award.
Award
LBL
June 2019
Visiting faculty scholar at LBNL with my students for the summer.
Others
GHC
Feb 2019
Super excited to be a part of the Computer Systems Engineering (CSE) track at GHC 2019. About time women working in computer systems meet!
Service
ICPP vice-chair
Sept 2018
I am the vice-chair of the performance track at ICPP 2019. Make sure to submit your work at the conference.
Service
IPDPS 2018
Dec 2017
Our paper titled "PADDLE: Performance Analysis using a Data-driven Learning Environment" has been accepted at IPDPS 2018!
Paper
SC17 TPC
Oct 2016
I will serve as a TPC member for the performance track in SC'17.
Service
IPDPS
May 2016
Attending IPDPS 2016 in Chicago. Our paper on "I/O aware power shifting" will be presented in the "I/O and Storage Track".
Paper
Sloan Foundation
Dec 2022
Our joint proposal with University of Colorado Boulder to the Sloan Foundation has been funded!
Grants
SRP-HPC
June 2022
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.
Research
SC'22
Feb 2022
I am chairing the Performance measurement, modeling, and analysis track at SC this year. Excited and honored!
Service
Summer Internships
May 2021
Congratulations to Chase Phelps and Tarek Ramadan for securing internships at LLNL and LBNL, respectively!
Others
AMD Research Gift
Jan 2021
My team will develop performance models for the next-gen AMD GPUs and improve their performance profiler rocprof. Thanks AMD for the gift!
Award
ECP Hackathon
Aug 2020
Invited talk at the Exascale Computing Project's annual hackathon organized by ORNL and BNL on Dashing (here).
Service
ProTools
Nov 2019
Our paper titled "Towards A Programmable Analysis and Visualization Framework for Interactive Performance Analytics" accepted in the ProTools workshop at SC'19.
Paper
Internship
April 2019
Received the DOE SRP fellowship for my proposal titled "Proxy application validation for Exascale Co-design".
Others
CRA-W
Nov 2018
Attending the CRA-W Career mentoring workshop in Phonix, AZ.
Service
XSEDE
Sept 2018
Received XSEDE allocation grant for my Parallel Computing course. Happy computing!
Award
Join WWU
Sept 2017
Joined as an Assistant Professor in CS at WWU.
Others
HiPC 2016
Sep 2016
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.
Paper
LEARN proposal
MarĀ 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.
Award
NYSDS Workshop
Oct 2022
Congratulations to Elvis, Zaeed, and Arunavo for getting their lightening talks accepted at NYSDS on how they plan to leverage ML for HPC.
Paper
Graduation
May 2022
Congratulations to Tarek Ramadan for successfully defending his M.Sc. thesis.
Others
AMD Gift
Jan 2022
Thanks to AMD for the 50K gift! This is the second year of our collaboration. Here is to many more!
Award
COMPSAC'21
April 2021
Our paper "College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis" accepted at COMPSAC'21.
Paper
REP Funding
Jan 2021
Received funding from the Research Enhancement Program at TXST for developing deep learning models using code structure to predict performance.
Award
AMD Talk
Aug 2020
I gave a talk at AMD on my research in performance analysis on various architectures.
Service
Join TXST
Aug 2019
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.
Others
ISC
Feb 2019
Congratulations to Gian-Carlo for getting his first research poster accepted at ISC'19!
Service
SRP
Nov 2018
Invited to present my research at the Sustainable Research Pathways Program in Lawrence Berkeley National Laboratory
Others
ACM BCB
June 2018
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!
Paper
IPDPS17
Jan 2017
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%].
Paper
SC16
Aug 2016
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!
Paper
DOE Next-gen Data Management
Sept 2022
Excited! Our collaborative proposal with Brookhaven National Lab and Argonne National Lab has been funded by DOE.
Award
CHEOPS'22
April 2022
I have been invited to give a talk at the CHEOPS workshop colocated with EuroSys'22.
Service
HiPCW'21
Dec 2021
My invited paper talks about designing an HPC course focusing on distributed memory parallelism and scalable parallel I/O patterns.
Paper
ISPASS'21
March 2021
Our paper on "comparative Code Structure Analysis using Deep Learning for Performance Prediction" has been accepted at ISPASS'21.
Paper
AMD Equipment Grant
Nov 2020
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
Award
Purdue talk
July 2020
Gave invited talk "Learning to Manage in Grad School for a Sustainable Career in Future" at Purdue University. Here is an uncut version.
Service
SC19
June 2019
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.
Paper
BDCAA
Feb 2019
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.
Service
SC18 poster
Sept 2018
Our poster titled "Automatic Generation of Mixed-Precision Programs" has been accepted at SC'18. This work has been done in collaboration with LLNL.
Paper
Interns
June 2018
Several of my students are interning at research labs such as LLNL, PNNL. Happy summer!
Others
ICDCS17
Dec 2016
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.
Service
LEARN@LLNL
May 2016
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!