Larry Tang

Department of Electrical and Computer Engineering • Carnegie Mellon University

prof_pic_crop.png

Hamerschlag Hall

Carnegie Mellon University

Pittsburgh, PA 15213

I am a fourth year PhD candidate in Electrical and Computer Engineering at Carnegie Mellon University, co-advised by Prof. Ken Mai and Prof. Franz Franchetti. My research interests are broadly in VLSI design and algorithms for applications in scientific computing, digital signal processing, and machine learning.

My work currently focuses on new design paradigms and implementation of hardware accelerators for FFT-based applications.

Prior to CMU, I graduated from Cornell University with my BS in Electrical and Computer Engineering. During my undergrad I worked with Prof. Christoph Studer on novel methods for wireless localization.

selected publications

  1. HPEC
    A High Throughput Hardware Accelerator for FFTW Codelets: A First Look
    Larry Tang, Siyuan Chen, Keshav Harisrikanth, Guanglin Xu, Ken Mai, and Franz Franchetti
    In IEEE High Performance Extreme Computing Conference (HPEC), 2022
    PDF
  2. Asilomar
    Reducing the Complexity of Fingerprinting-Based Positioning using Locality-Sensitive Hashing
    Larry Tang, Ramina Ghods, and Christoph Studer
    In 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
    arXiv