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Harvard Architecture, Circuits and Compilers Group Webpage

Current Students and Postdocs

PhD Student Alumni

  • Samuel Hsia (PhD. 2024)
    • “Architecting Efficient, Large-Scale AI: An Algorithm-System Co-Design Approach”
    • Current: Research Scientist @ Meta (FAIR)
  • Maximilian Lam (PhD. 2024)
    • “Systems and Algorithms for Efficient, Secure and Private Machine Learning Inference”
    • Current: Apple
  • Thierry Tambe (Ph.D. 2023)
    • “Architecting High Performance Silicon Systems for Accurate and Efficient On-Chip Deep Learning”
    • Current: Research Scientist, NVIDIA Research and Assistant Professor, Stanford University
  • Iulian Brumar (Ph.D. 2023)
    • “Early-Stage Non-Conventional Hardware Accelerator Discovery via Optimization Methods and Compiler Analysis”
  • Siming Ma (Ph.D. 2023)
    • “Device, Circuit, and Algorithm Co-Design for Efficient Neural Network Inference in Hardware”
  • Udit Gupta (Ph.D. 2022)
    • “Enabling High Performance, Efficient, and Sustainable Deep Learning Systems At Scale”
    • Current: Assistant Professor, Cornell University
  • Lillian Pentecost (Ph.D. 2022)
    • “Enabling Emerging, Heterogeneous Memory Systems”
    • Current: Assistant Professor, Amherst College
  • Yu (Emma) Wang (Ph.D. 2019)
    • “Performance Analysis for Machine Learning Applications”
    • Current: Staff Software Engineer at Google
  • Brandon Reagen (Ph.D. 2018)
    • “On the Design and Optimization of Specialized Hardware with Applications in Deep Learning”
    • Current: Assistant Professor, New York University
  • Sam (Likun) Xi (Ph.D. 2018)
    • “Advancing System-Level Analysis and Design of Specialized Architectures”
    • Current: Staff Software Engineer at Google
  • Sophia Shao (Ph.D. 2016)
    • “Design and Modeling of Specialized Architectures”
    • Current: Assistant Professor, UC Berkeley
  • Svilen Kanev (Ph.D. 2016)
    • “Efficiency in warehouse-scale computers: a datacenter tax study”
    • Current: Software Engineer at Google
  • Sae-Kyu Lee (Ph.D. 2016)
    • “High Efficiency Power Delivery for Chip Multiprocessors using Voltage Stacking”
    • Current: IBM Research
  • Kevin Brownell (Ph.D. 2015)
    • “Architectural Implications of Automatic Parallelization with HELIX-RC”
    • Current: Software Engineer at Google
  • Tao Tong (Ph.D. 2015)
    • “Improving SoC Power Delivery With Fully Integrated Switched-Capacitor Voltage Regulators”
    • Current: Kolmostar
  • Mike Lyons (Ph.D. 2013)
    • “Toward a Hardware Accelerated Future”
    • Current: Staff Software Engineer at Dropbox
  • Wonyoung Kim (Ph.D. 2012)
    • “Reducing Power Loss, Cost and Complexity of SoC Power Delivery using Integrated 3-Level Voltage Regulators”
    • Cofounder/CEO of Lion Semiconductor, acquired by Cirrus Logic
  • Krishna Rangan (Ph.D. 2011)
    • “Hardware-Based Thread Scheduling for Power-Efficient and Variation-Resilient Chip Multiprocessors””
    • Current: Systems/SoC Architect at Meta
  • Vijay Janapa Reddi (Ph.D. 2010)
    • “Software-Assisted Hardware Reliability: Enabling Aggressive Timing Speculation Using Run-Time Feedback from Hardware and Software”
    • Current: Associate Professor, Harvard University
  • Xiaoyao Liang (Ph.D. 2009)
    • “From Uncertainty to Opportunity: Joint Architecture and Circuit Resilience to Mitigate the Impact of Process Variations”
    • Current: Professor, Shanghai Jiao Tong University
  • Meeta Gupta (Ph.D. 2009)
    • “Variation-aware processor architectures with aggressive operating margins”
    • Current: Founder of Shumee
  • Mark Hempstead (Ph.D. 2009)
    • “Accelerator-Based Architectures for Wireless Sensor Network Applications”
    • Current: Professor, Tufts University
  • Benjamin Lee (Ph.D. 2008)
    • “Statistical Inference for Efficient Microarchitectural Analysis”
    • Current: Professor, University of Pennsylvania

Postdoc Alumni