SubMIT: A Physics Analysis Facility at MIT
Name
s41781-025-00156-1.pdf
Size
1.4 MB
Format
Adobe PDF
Checksum (MD5)
83b16f9cb6c6ddd8528d8a92353d2c30
Author(s)
Acosta, P.
Bendavid, J.
D’Alfonso, M.
Eysermans, J.
Freer, C.
Goncharov, M.
Heine, M.
Lavezzo, L.
Newman, D.
Moore, M.
Date Issued
February 11, 2026
Journal
EPJ Research Infrastructures
Publisher
Springer Science and Business Media LLC
Citation
Acosta, P., Bendavid, J., D’Alfonso, M. et al. SubMIT: A Physics Analysis Facility at MIT. EPJ Res. Infrastruct. 10, 2 (2026).
Version
Final published version
Abstract
The recently completed SubMIT platform is a small set of servers that provide interactive access to substantial data samples at high speeds, enabling sophisticated data analyses with very fast turnaround times. Additionally, it seamlessly integrates massive processing resources for large-scale tasks by connecting to a set of powerful batch processing systems. It serves as an ideal prototype for an Analysis Facility tailored to meet the demanding data and computational requirements anticipated during the High-Luminosity phase of the Large Hadron Collider. The key features that make this facility so powerful include highly optimized data access with a minimum of 100 Gbps networking per server, a large managed NVMe storage system, and a substantial spinning-disk Ceph file system. The platform integrates a diverse set of high multicore CPU machines for tasks benefiting from the multithreading and GPU resources for example for neural network training. SubMIT also provides and supports a flexible environment for users to manage their own software needs for example by using containers. This article describes the facility, its users, and a few complementary, generic and real-life analyses that are used to benchmark its various capabilities.
MIT Department
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s41781-025-00156-1
