<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Simulation on Bingjie&#39;s Blog</title>
    <link>https://blog.bj-yan.top/en/tags/simulation/</link>
    <description>Recent content in Simulation on Bingjie&#39;s Blog</description>
    <image>
      <url>https://blog.bj-yan.top/favicon.png</url>
      <link>https://blog.bj-yan.top/favicon.png</link>
    </image>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-US</language>
    <lastBuildDate>Sat, 08 Jul 2023 12:37:21 +0800</lastBuildDate><atom:link href="https://blog.bj-yan.top/en/tags/simulation/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>How to Get the Top K of WeChat Red Envelopes</title>
      <link>https://blog.bj-yan.top/en/p/blog-the-top-k-of-wechat-red-envelopes/</link>
      <pubDate>Sat, 08 Jul 2023 12:37:21 +0800</pubDate>
      
      <guid>https://blog.bj-yan.top/en/p/blog-the-top-k-of-wechat-red-envelopes/</guid>
      <description>Simulating WeChat red envelope distribution with Python to compare the probability of entering the Top K based on different claiming orders, presenting simulation results while explaining model assumptions and limitations.</description>
    </item>
    
    <item>
      <title>Accelerating Federated Learning Simulation with MPI</title>
      <link>https://blog.bj-yan.top/en/p/blog-accelerating-federated-learning-simulation-using-mpi/</link>
      <pubDate>Tue, 21 Mar 2023 12:41:13 +0800</pubDate>
      
      <guid>https://blog.bj-yan.top/en/p/blog-accelerating-federated-learning-simulation-using-mpi/</guid>
      <description>Building a federated learning simulator using mpi4py and PyTorch, covering server-client architecture, MPI execution flow, multi-process execution, and experimental performance.</description>
    </item>
    
  </channel>
</rss>
