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    <title>Olivia Weng</title>
    <link>http://oliviaweng.github.io/</link>
    <description>Recent content on Olivia Weng</description>
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    <item>
      <title>On taking walks after lunch</title>
      <link>http://oliviaweng.github.io/blog/lunch-walks/</link>
      <pubDate>Fri, 29 Nov 2019 16:57:20 -0500</pubDate>
      
      <guid>http://oliviaweng.github.io/blog/lunch-walks/</guid>
      <description>Dear reader, Taking walks after lunch, mostly alone but occasionally with friends, has been one of the best decisions I&amp;rsquo;ve made in college. I used to approach college with a keep-your-foot-on-the-gas-for-the-love-of-all-that-is-good mentality. Not working was bad and a waste of time. Then the unsustainability of it all hit me around my third year. It was only halfway through the year, and I woke up every day feeling burned out, worn out.</description>
    </item>
    
    <item>
      <title>About</title>
      <link>http://oliviaweng.github.io/about/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Hello! I&amp;rsquo;m Olivia. I&amp;rsquo;m Assistant Professor of Computer Engineering at San José State University. My research is at the intersection of artificial intelligence and embedded systems. My work uses hardware-software co-design to create efficient, fault-tolerant computer architectures for neural networks at the edge.
Before coming to SJSU, I received my PhD and MS in Computer Science at UC San Diego, advised by Ryan Kastner. My PhD thesis was Efficient and Resilient Neural Networks for On-chip Inference.</description>
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    <item>
      <title>CMPE 120</title>
      <link>http://oliviaweng.github.io/classes/2026/fall/cmpe120/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>http://oliviaweng.github.io/classes/2026/fall/cmpe120/</guid>
      <description>Computer Organization and Architecture Welcome to CMPE 120! We’re so happy to have you in this course. Many of you have been writing programs for a couple of years now, and they have always run on computer hardware. The cool part was that you were able to learn how to program without needing to think much about how the hardware executed your code. But, at some point in your software engineering career, you will be confronted with the fact that some hardware is running your code&amp;mdash;and something is going wrong with the way they are interacting.</description>
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    <item>
      <title>Projects</title>
      <link>http://oliviaweng.github.io/projects/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>PrioriFI: Efficient Fault Injection for Edge Neural Networks ASPLOS&#39;26
As neural networks (NNs) are increasingly used to provide edge intelligence, there is a growing need to make the edge devices that run them robust to faults. Edge devices must mitigate the resulting hardware failures to function correctly. In addition, edge NNs have strict constraints on power, energy, latency, throughput, memory size, and computational resources. Edge NNs require fundamental changes in model architecture, e.</description>
    </item>
    
    <item>
      <title>Teaching</title>
      <link>http://oliviaweng.github.io/teaching/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>http://oliviaweng.github.io/teaching/</guid>
      <description>@SJSU Computer Organization and Architecture (CMPE 120) [Fall 2026]
@UCSD Systems Programming and Software Tools (CSE 29) [Spring 2026, Instructor of record with Gerald Soosairaj]
[Summer 2025, Instructor of record with Joe Politz]
Computer Architecture: A Software Perspective (CSE 142L) [Fall 2021, Lead TA under Steve Swanson]</description>
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