Category: Research

  • Exploiting 2.5D/3D Heterogeneous Integration for AI Computing

    References Exploiting 2.5D/3D Heterogeneous Integration for AI Computing1 Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling2 End-to-End Benchmarking of Chiplet-Based In-Memory Computing3 Summary HISIM4, a modeling and benchmarking tool for heterogeneous integration of chiplets by communicating through NoP5. Components: partitioning, mapping and placement; computing unit/processing unit; heterogeneous interconnection; network/routing engine; thermal analysis. technology roadmap6, power/latency prediction,…

  • A Tutorial on scikit-learn

    Scikit-learn is one of the most fundamental machine learning tools. You could access its official website here. It may not as fancy as pytorch or tensorflow, but scikit-learn is a good starting point for beginners to learn about machine learning algorithms. In this tutorial, several aspects will be shown, including installation, datasets as well as…

  • A guide on how to use Advanced Research Computing at Virginia Tech

    A guide on how to use Advanced Research Computing at Virginia Tech

    Virginia Tech provides computing resources for computing with is suitable for simulations, machine learning model training, which called Advanced Research Computing. It provides a user friendly guide on how to use its system, but I think it would be nicer to try to summarize the most essential ones when you want to use it in…