Welcome to Scalable Energy-Efficient Computing Laboratory (SCALE)

Dear Visitor:

Welcome to our group's website! Current projects include: (1) emerging computing paradigms in molecular informatics and approximate computing; (2) energy-efficient processing for embedded and wearable devices with focus on deep learning and biometric security applications; (3) thermal/power sensing, modeling and management for mobile SoCs and cloud servers; and (4) machine learning enabled silicon compilation. We have useful material available for download including lecture notes, publications, software tools and research data. We are looking forward to hearing from you.

E-mail: sherief_reda (at) brown (dot) edu. Tel: 401-863-1455. Lab: 401-863-9467. Fax: 401-863-9039. Address: 184 Hope St, Providence, RI 02912.

Positions available for postdocs, PhD students and internships

Recent News:

  • 2019/11: New Samsung grant
  • 2019/09: New DoD ARO grant
  • 2019/08: New NSF EAGER grant
  • 2019/07: Prof. Reda promoted to full professor
  • 2019/05: Congratulations to Dr. Hokchhay Tann for successfully defending his PhD thesis
  • 2018/12: New book on approximate circuit design published
  • 2018/10: Best paper award at IGSC 2018.
  • 2018/07: Lab involvement in DARPA Electronic Resurgence Initiative (ERI) publicized (article 1, article 2, article 3, article4)
  • 2018/06: Two new DARPA awards from POSH and IDEA programs.
  • 2018/05: Congratulations for Dr. Reza Azimi for successfully defending his PhD thesis.
  • 2018/05: Congratulations for Dr. Soheil Hashemi for successfully defending his PhD thesis.
  • 2018/01: New grant from DARPA molecular informatics program.

Recent Publications:

  • DAC 2020: S-ADAPT: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices
  • CCGrid 2020: ApproxDNN: Incentivizing DNN Approximation in Cloud
  • ASPDAC 2020: DRiLLS: Deep Reinforcement Learning for Logic Synthesis
  • Nature Communications 2020: Multicomponent Molecular Memory
  • Computer & Graphics 2020: Dual-precision fixed-point arithmetic for low-power ray-triangle intersections