MIT Open Access Articles: Recent submissions

Now showing items 22-24 of 53091

    • MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning 

      Rajasekaran, Sudarsanan; Narang, Sanjoli; Zabreyko, Anton A.; Ghobadi, Manya (ACM|The 23rd ACM Workshop on Hot Topics in Networks, 2024-11-18)
      This paper argues that congestion control protocols in machine learning datacenters sit at a sweet spot between centralized and distributed flow scheduling solutions. We present MLTCP, a technique to augment today's ...

    • Imaging the initial condition of heavy-ion collisions and nuclear structure across the nuclide chart 

      Jia, Jiangyong; Giacalone, Giuliano; Bally, Benjamin; Brandenburg, James D.; Heinz, Ulrich; e.a. (Springer Nature Singapore, 2024-12-11)
      High-energy nuclear collisions encompass three key stages: the structure of the colliding nuclei, informed by low-energy nuclear physics, the initial condition, leading to the formation of quark–gluon plasma (QGP), and the ...

    • Anomaly-aware summary statistic from data batches 

      Grosso, G. (Springer Berlin Heidelberg, 2024-12-12)
      Signal-agnostic data exploration based on machine learning could unveil very subtle statistical deviations of collider data from the expected Standard Model of particle physics. The beneficial impact of a large training ...