Welcome to Scalable Energy-Efficient Computing Laboratory (SCALE)

SCALE is a member of the LEMS network of laboratories.

sreda

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) energy-efficient deep learning processing; (2) low-power approximate computing; (3) low-power system design and power management for high-performance computing clusters; and (4) thermal modeling and management for 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:

  • 2017/05: New NSF grant awarded.
  • 2017/05: Sam and Tyler defend their Honors theses.
  • 2017/01: Prof. Reda named a trailblazer innovator by Providence Journal.
  • 2016/12: Lab receives RI innovation grant.

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