Now showing items 169-171 of 65109

    • Compiler-Hardware Co-Design for Pervasive Parallelization 

      Ying, Victor A. (Massachusetts Institute of Technology, 2023-09)
      Modern computer systems have hundreds of processor cores, so highly parallel programs are critical to achieve high performance. But parallel programming remains difficult on current systems, so many programs are still ...
    • Optimizing Graph Neural Network Training on Large Graphs in A Distributed Setting 

      Murzynowski, Philip (Massachusetts Institute of Technology, 2022-09)
      Graph neural networks (GNNs) are an important class of methods for leveraging the information present in graph structures to perform various learning tasks. Distributed GNNs can improve the performance of GNN execution by ...
    • Atomistic Insights into Alloy Solidification using Machine-Learning Potentials 

      Cao, Yifan (Massachusetts Institute of Technology, 2025-09)
      Alloy solidification is a critical process in materials design and manufacturing, as it governs the formation of microstructures that determines the mechanical, thermal, and chemical properties of materials. However, direct ...