Welcome to Scalable Energy-Efficient Computing Laboratory (SCALE)
sreda

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:

  • DATE 2018: Approximate Computing for Biometric Security Systems: A Case Study on Iris Scanning
  • DATE 2018: QoR-Aware Power Capping for Approximate Big Data Processing
  • Sensors J: Blind Identification of Thermal Models and Power Sources from Thermal Measurements
  • ICCAD 2017: LACore: A Supercomputing-Like Linear Algebra Accelerator for SoC-Based Designs
  • Nature: 3D Integration Advances Computing