Welcome to Scalable Energy-Efficient Computing Laboratory (SCALE)

SCALE is a member of the LEMS network of laboratories.


Dear Visitor:

Welcome to our group's website! Our research projects focus on advancing the scalability of computing chips and systems by making them more energy efficient. Current projects include: (1) emerging computing paradigms, including chemical-based computations, monolithic 3D integration and approximate computing, (2) energy-efficient processing for embedded deep learning and image/video systems; (3) low-power system organization and power management for high-performance computing clusters; and (4) thermal modeling and management for mobile SoC and emerging cooling devices. We have useful material available for download including lecture notes, publications, software tools and research data. We are looking forward to hearing from you.

Professor Sherief Reda (E-mail: sherief_reda (at) brown (dot) edu)

Recent News:

  • 2017/10: New grant from DARPA molecular informatics program.
  • 2017/08: Congratulations to Xin for successfully completing his PhD.
  • 2017/08: Prof. Reda is selected for Samsung GRO award.
  • 2017/05: New NSF CRI grant awarded.
  • 2017/05: Sam and Tyler defend their Honors theses.

Recent Publications:

  • iTherm 2017:Fast Thermal Modeling of Liquid, Thermoelectric, and Hybrid Cooling
  • DAC 2017:Hardware-Software Codesign of Highly Accurate, Multiplier-free Deep Neural Networks
  • DATE 2017: Blind Identification of Power Sources in Multicore Processors
  • DATE 2017:Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
  • HPCA 2017:Fast Decentralized Power Capping for Server Clusters

Contact info:

184 Hope St, Providence, RI 02912.
Tel: 401-863-1455, Lab: 401-863-9467, Fax: 401-863-9039
Email: sherief_reda brown edu