# David Krasowska

> David Krasowska is a Computer Science Ph.D. candidate at Northwestern University working on distributed heterogeneous computing: GPUs, Processing-in-Memory, and HPC runtimes.

David Krasowska is a Ph.D. candidate at Northwestern University, advised by Dr. Peter Dinda. His research began at Clemson University collaborating with Argonne National Laboratory on lossy compression for HPC scientific applications. He received the DOE Computational Science Graduate Fellowship for his graduate studies. Currently he explores raising the level of abstraction for programming emerging accelerators, such as multi-GPU systems and Processing-in-Memory (PIM).

Expected graduation: December 2027.

## Contact

- Email: david@krasow.dev
- Phone: +1 (224) 355-2715
- Location: Chicago, IL
- [Schedule a meeting](https://calendar.app.google/NMcvTiZxBHDVDKsW9)
- [Resume (PDF)](https://krasow.dev/assets/documents/Krasowska_David_resume.pdf)
- [Contact card (vCard)](https://krasow.dev/assets/documents/Krasowska_David_contact.vcf)
- [GitHub](https://github.com/krasow), [LinkedIn](https://www.linkedin.com/in/krasow/), [Google Scholar](https://scholar.google.com/citations?user=MKrD7IcAAAAJ), [ORCID](https://orcid.org/0000-0001-5411-4722)

## Education

- Ph.D. Candidate & M.S. in Computer Science, Northwestern University, Evanston, IL (2023 – Now). Advised by Dr. Peter Dinda, Prescience Lab
- B.S. in Computer Engineering, Clemson University, Clemson, SC (2019 – 2022)

## Experience

- **Visiting Student**, Los Alamos National Laboratory (Jun 2024 – Aug 2024): UPMEM PIM support on Legion runtime. Automated kernel mapping onto distributed heterogeneous systems.
- **Research Aide**, Argonne National Laboratory (Jun 2022 – Jun 2023): 3D dataset extension and black-box regression model (IJHPCA). Contributed to Libpressio.
- **High Performance Computing Creative Inquiry**, Clemson University (Jun 2021 – Dec 2022): Student Cluster Competition SC '21 & IndySCC SC '22. Cluster build with Dell and Intel.
- **Undergraduate Student Researcher**, Clemson University, FTHPC (May 2021 – May 2022): Advised by Dr. Jon Calhoun. Statistical modeling of scientific datasets to establish correlations with lossy compression ratios. First publication at DRBSD-7, SC '21.

## Publications

- [Easy, Yet Performant PIM Through Deferred Execution That Enables Vertical and Horizontal Fusion](https://github.com/krasow/PolymerPIM). D. Krasowska, A. Crotty, P. Dinda. Submitted to ASPLOS, awaiting decision, 2026.
- [cuNumeric.jl: Automated Performant Multi-GPU Numerical Computing for Julia](https://github.com/JuliaLegate/cuNumeric.jl). D. Krasowska, E. Meitz, W. Lee, P. Dinda. Submitted to IPDPS, awaiting decision, 2026.
- [Village: From High Level Parallelism to High Performance](https://www.mccormick.northwestern.edu/computer-science/documents/nu-cs-2025-33.pdf). K. Nagaitsev, G. Dube, K. Hallsby, P. Liu, Q. Jiang, L. Myers, D. Krasowska, A. Butler, R. Xu, P. Dinda. Technical Report NU-CS-2025-33, Northwestern University, 2025.
- [Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data](https://doi.org/10.1177/10943420231179417). R. Underwood, J. Bessac, D. Krasowska, J. C. Calhoun, S. Di, F. Cappello. International Journal of High Performance Computing Applications (IJHPCA), 2023.
- [A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression](https://doi.org/10.1109/CLUSTER52292.2023.00028). A. Ganguli, R. Underwood, J. Bessac, D. Krasowska, J. C. Calhoun, S. Di, F. Cappello. IEEE International Conference on Cluster Computing (CLUSTER), 2023.
- [Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets](https://doi.org/10.1109/DRBSD754563.2021.00011). D. Krasowska, J. Bessac, R. Underwood, J. C. Calhoun, S. Di, F. Cappello. 7th Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7), 2021.

## Talks

- [cuNumeric.jl: Automating Distributed Numerical Computing](https://krasow.dev/assets/documents/slides/2025/juliacon.pdf). JuliaCon 2025 (Jul 2025).
- [Task Based Programming for Processing in Memory (PIM) HPC Clusters](https://krasow.dev/assets/documents/slides/2024/legion24.pdf). Legion Retreat (Dec 2024).
- [Processing in Memory Execution Targets for Higher Level Languages](https://krasow.dev/assets/documents/slides/2023/Constellation_Krasowska.pdf). Constellation Workshop (Jul 2023).
- [What's the deal with this 'Grad School' thing?](https://krasow.dev/assets/documents/slides/2022/grad_school_talk_dube_krasowska.pdf). Clemson CECAS Invited Talks (Dec 2022).
- [Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data](https://krasow.dev/assets/documents/slides/2022/best_krasowska.pdf). ACM Student Research Competition: Undergraduate Poster (Nov 2022).
- [Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data](https://krasow.dev/assets/documents/slides/2022/prediction_lossy_compression_krasowska.pdf). Summer Argonne Students Symposium (SASSy) (Jul 2022).
- [Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets](https://krasow.dev/assets/documents/slides/2021/DRBSB-7-Krasowska.pdf). 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (Nov 2021).

## Posters

- [PolymerPIM: Enabling Vertical and Horizontal Fusion Through Deferred Execution for PIM Systems](https://krasow.dev/assets/documents/posters/2026_csgf_krasowska.pdf). DOE CSGF Annual Program Review (Jul 2026).
- [Reducing Complexity in Scalable Numerical Computing with cuNumeric.jl](https://krasow.dev/assets/documents/posters/2025_csgf_krasoska.pdf). DOE CSGF Annual Program Review (Jul 2025).
- [Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data](https://krasow.dev/assets/documents/posters/poster_krasowska.pdf). ACM Student Research Competition: Undergraduate Poster, SC22 (Nov 2022).

## Awards

- DOE Computational Science Graduate Fellowship, Department of Energy (2023)
- First Place, ACM Undergraduate Student Research Competition, Supercomputing 2022 (2022)
- Best Poster (Team), IndySCC22, Supercomputing 2022 (2022)

## Teaching and mentoring

- Teaching Assistant, CS 343: Operating Systems, Northwestern University (Winter 2025)
- Zhehao Zhu, Master's Research Mentor, Northwestern University (2024 – 2025)
- Nader Rahhal, Undergraduate Research Mentor, Northwestern University (2025 – 2026)

## Projects

- [cuNumeric.jl](https://krasow.dev/projects/cunumeric/): Northwestern University
- [Legion-PIM](https://krasow.dev/projects/legionpim/): Los Alamos National Laboratory
- [Compression Correlation](https://krasow.dev/projects/compression/): Argonne National Laboratory and Clemson University

## Skills

- MPI, CUDA, C, C++, Python, Julia, LLVM, HPC

## Pages

- [CV](https://krasow.dev/pages/cv.html)
- [About](https://krasow.dev/pages/about.html)
- [Presentations](https://krasow.dev/pages/presentations.html)
- [News](https://krasow.dev/pages/news.html)
- [Terminal version of the site](https://krasow.dev/terminal/)