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DOE CSGF
I am a third-year PhD student in the Department of Computer Science at the University of Illinois at Urbana-Champaign, advised by Professor Luke Olson.
My research interests are broadly in parallel computing and spatial dataflow architectures, and my recent work focuses on sparse numerical algorithms for dataflow. In particular, I am interested in porting algebraic multigrid methods to the Cerebras Wafer Scale Engine.
I'm fortunate to be funded by the 2023-2024 Andrew & Shana Laursen Fellowship and the DOE Computational Science Graduate Fellowship.
University of Illinois at Urbana-Champaign
Current PhD Student in Computer Science
2023 - Present, Champaign, IL
Brown University
Bachelor of Science in Applied Math and Computer Science
2018 - 2022, Providence, RI
Numerical Kernels on a Spatial Accelerator: A Study of Tenstorrent Wormhole
M. Taylor, C. Pearson, L. Berger-Vergiat, G. Long, and J. Ciesko
2026 arXiv preprint
Communication-Aware Diffusion Load Balancing for Persistently Interacting Objects
M. Taylor, K. Chandrasekar, L. V. Kale
2026 PDSEC Workshop @ IPDPS
Implementation of Conjugate Gradient Solver on Tenstorrent's Wormhole
M. Taylor, C. Pearson, L. Berger-Vergiat, and G. Long
Computer Science Research institute Summer Proceedings 2025, Sandia National Laboratories, Albuquerque, NM
CkIO: Parallel File Input for Over-Decomposed Task-Based Systems
M. Jacob, M. Taylor, L. V. Kale
2024 arXiv preprint
Sparse Matrix–Vector Multiplication for Algebraic Multigrid on the Cerebras Wafer-Scale Engine
CCIMM 2026
Communication-Aware Diffusion Load Balancing for Persistently Interacting Objects
2026 PDSEC Workshop @ IPDPS
Charm4Py Tutorial
IPDPS 2026
Sparse Linear Solvers on Tenstorrent's Dataflow Architecture
2025 CSGF Program Review
Diffusion Load Balancing
2025 JLESC Workshop
Cerebras in HPC
2024 UIUC CAP Seminar
CkIO: Parallel File Input for Over-decomposed Systems
2024 JLESC Workshop
JLESC 2024, JLESC 2025
Session Chair
SC 2023, SC 2021
Student Volunteer