ISLPED will be a virtual event on Zoom
3-days of Existing Programs on Low Power Design

Day 1: August 10th

Day 2: August 11th

Day 3: August 12th

Welcome by General and Program Co-Chairs

Keynote Talk 2: Prof. Marian Verhelst (KUL, Belgium)
“Enabling deep NN at the extreme edge: Co-optimization across circuits, architectures, and algorithmic scheduling”

Best Paper Announcement

Keynote Talk 1: Prof. Bill Dally (Nvidia Corporation, USA)
"Low-Power Processing with Domain-Specific Architecture"

Session 2A: Tuning the Design Flow for Low Power: From Synthesis to Pin Assignment

Design Contest

Session 1A: Energy-efficient Machine Learning Systems

Poster session

Session 3A: Memory Technology and In-memory Computing

Session 1B: From CMOS to Quantum Circuits for Sensing, Computation and Security

Session 2B: Energy Efficient Neural Network Processors: Compression or Go for Near-sensor Analog

Session 3B: Low power system and NVM

Session 1C: Smart Power Management and Computing

Session 2C: Non-ML Low-power Architecture

Session 3C: ML-based Low-Power Architecture

IEEE/ACM member registration is just $75 this year, click here register now!.

Executive Committee


  • Massoud Pedram (EC Chair), University of Southern California
  • • Luca Benini, University of Bologna
  • • Naehyuck Chang, Seoul National University
  • • Pai Chou, University of California, Irvine
  • • Joerg Henkel, Karlsruhe Institute of Technology
  • • Rajiv Joshi, IBM TJ Watson Research Center
  • • Muhammad Khellah, Intel Corporation
  • • Enrico Macii, Politecnico di Torino
  • • Diana Marculescu, Carnegie Mellon University
  • • Renu Mehra, Synopsys
  • • Wolfgang Nebel, Carl von Ossietzky Universitat Oldenburg
  • • Hiroshi Nakamura, The University of Tokyo
  • • Vijaykrishnan Narayanan, Pennsylvania State
  • • Vojin Oklobdzija, University of California, Davis
  • • Massimo Poncino, Politecnico Di Torino
  • • Jan M. Rabaey, University of California, Berkeley
  • • Anand Raghunathan, Purdue University
  • • Kaushik Roy, Purdue University
  • • Mircea Stan, University of Virginia
  • • Vivek Tiwari, Intel Corporation
  • • Yuan Xie, University of California, Santa Barbara
  • • Chia-Lin Yang, National Taiwan University