Shreya Biswas

An AI Hardware Blog and other things I want to ramble about

prof_pic.jpg

📍 Austin, Texas, USA

🤝 Consult and Collab Calendly

📝 View my Resume

✉️ shreyashri.biswas@amd.com

AMD CMU

Passionate about accelerating LLM inference with cutting-edge techniques like speculative decoding and kernel fusion. I specialize in optimizing high-performance machine learning libraries, focusing on graph optimization and operator fusion for deep learning workloads. My expertise extends to compiler optimization and hand-tuned SIMD kernels, ensuring peak performance for mobile and edge devices. With a strong interest in HW/SW co-design, I thrive at the intersection of software and hardware, enabling efficient AI systems.

Favorite subreddit: r/localllama, where I stay updated on the latest in LLMs and local AI innovation.

Latest Posts

Jan 06, 2025 AOTriton and Triton

Selected Publications

  1. learn.gif
    A Virtual Learning System
    2021
    Publication No. 49/2021, Indian Patent Application No. 202141025531, Publication Date: December 3, 2021.
  2. HPC
    wave-mechanics.gif
    Optimal Kernel Orchestration for Tensor Programs with Korch
    Muyan Hu, Shreyashri Biswas, Balamurugan Marimuthu, and 7 more authors
    In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, Apr 2024
  3. brownian-motion.gif
    AP selection in Cell-Free Massive MIMO system using Machine Learning Algorithm
    Shreyashri Biswas, and P. Vijayakumar
    In 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Apr 2021
  4. drone.gif
    Edge AI Based Autonomous UAV for Emergency Network Deployment: A Study Towards Search and Rescue Missions
    Shreyashri Biswas, Rajeev Muttangi, Harshil Patel, and 1 more author
    In 2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Apr 2022