Larry Tang

Department of Electrical and Computer Engineering • Carnegie Mellon University

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Florence, Italy

I am a final 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 hardware-software co-design, domain-specific architectures, design methodologies, and digital VLSI/circuits. I am particularly interested in algorithms/hardware for machine learning, scientific computing, and digital signal processing applications.

My work currently focuses on new design paradigms and tools for FFT-based hardware in current and emerging high performance systems.

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

selected publications

  1. HIPS | IPDPSW
    LibraryX-ASIC: A First Look
    Sanil Rao, Larry Tang, and Franz Franchetti
    Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS), IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2025
  2. HCS
    A 1.19GHz 9.52Gsamples/sec Radix-8 FFT Hardware Accelerator in 28nm
    Larry Tang, Siyuan Chen, Keshav Harisrikanth, Guanglin Xu, Franz Franchetti, and Ken Mai
    IEEE Hot Chips 36 Symposium (HCS), 2024
  3. ICASSP
    An Approach to Ontological Learning from Weak Labels
    Ankit Shah, Larry Tang, Po Hao Chou, Yi Yu Zheng, Ziqian Ge, and Bhiksha Raj
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  4. 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
    IEEE High Performance Extreme Computing Conference (HPEC), 2022