Curriculum Vitae
Education
2023 – Now
Ph.D. Candidate & M.S. in Computer Science
Northwestern University, Evanston, IL
Advised by Dr. Peter Dinda, Prescience Lab
2019 – 2022
B.S. in Computer Engineering
Clemson University, Clemson, SC
Awards & Fellowships
2023
DOE Computational Science Graduate Fellowship
Department of Energy
2022
First Place, ACM Undergraduate Student Research Competition
Supercomputing 2022
2022
Best Poster (Team), IndySCC22
Supercomputing 2022
Experience
Jun 2024Aug 2024
Visiting Student
Los Alamos National Laboratory
UPMEM PIM support on Legion runtime. Automated kernel mapping onto distributed heterogeneous systems.
Jun 2022Jun 2023
Research Aide
Argonne National Laboratory
3D dataset extension and black-box regression model (IJHPCA). Contributed to Libpressio.
Jun 2021Dec 2022
High Performance Computing Creative Inquiry
Clemson University
Student Cluster Competition SC '21 & IndySCC SC '22. Cluster build with Dell and Intel.
May 2021May 2022
Undergraduate Student Researcher
Clemson University, FTHPC
Advised by Dr. Jon Calhoun. Statistical modeling of scientific datasets to establish correlations with lossy compression ratios. First publication at DRBSD-7, SC '21.
Teaching & Mentoring
Winter 2025
Teaching Assistant, CS 343: Operating Systems
Northwestern University
2024 – 2025
Zhehao Zhu, Master's Research Mentor
Northwestern University
2025 – 2026
Nader Rahhal, Undergraduate Research Mentor
Northwestern University
Publications
2026
Easy, Yet Performant PIM Through Deferred Execution That Enables Vertical and Horizontal Fusion
Submitted to ASPLOS, awaiting decision
D. Krasowska, A. Crotty, P. Dinda
2026
cuNumeric.jl: Automated Performant Multi-GPU Numerical Computing for Julia
Submitted to IPDPS, awaiting decision
D. Krasowska, E. Meitz, W. Lee, P. Dinda
2025
Village: From High Level Parallelism to High Performance
Technical Report NU-CS-2025-33, Northwestern University
K. Nagaitsev, G. Dube, K. Hallsby, P. Liu, Q. Jiang, L. Myers, D. Krasowska, A. Butler, R. Xu, P. Dinda
2023
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data
IJHPCA 2023
R. Underwood, J. Bessac, D. Krasowska, J. C. Calhoun, S. Di, F. Cappello
2023
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression
IEEE CLUSTER 2023
A. Ganguli, R. Underwood, J. Bessac, D. Krasowska, J. C. Calhoun, S. Di, F. Cappello
2021
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets
DRBSD-7, Supercomputing 2021
D. Krasowska, J. Bessac, R. Underwood, J. C. Calhoun, S. Di, F. Cappello
Conference Talks
Jul 2025
cuNumeric.jl: Automating Distributed Numerical Computing
JuliaCon 2025
Nov 2022
Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data
ACM Student Research Competition: Undergraduate Poster
Nov 2021
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets
7th International Workshop on Data Analysis and Reduction for Big Scientific Data
Invited Talks
Dec 2022
What's the deal with this 'Grad School' thing?
Clemson CECAS Invited Talks
Jul 2022
Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data
Summer Argonne Students Symposium (SASSy)
Posters
Jul 2026
PolymerPIM: Enabling Vertical and Horizontal Fusion Through Deferred Execution for PIM Systems
DOE CSGF Annual Program Review
Jul 2025
Reducing Complexity in Scalable Numerical Computing with cuNumeric.jl
DOE CSGF Annual Program Review
Nov 2022
Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data
ACM Student Research Competition: Undergraduate Poster, SC22