End-to-end Co-design for Performance, Energy Efficiency, and Security in AI-enabled Computational Science (ENCODE)

Computer chip

The End-to-end co-design for performance, energy efficiency, and security in AI-enabled computational science (ENCODE) project will enable the development of new hardware designs and prototypes to support future computing technologies. Funded by the Department of Energy’s Advanced Scientific Computing Research program, ENCODE will develop technical expertise, advance research to accelerate hardware design and prototyping, and create a testbed for hardware design evaluation.

Project Lead

Robert Rallo

Dr. Robert Rallo

Interim Director of Program Development Office
Rallo joined Pacific Northwest National Laboratory (PNNL) in 2017. His research background and interests are at the intersection of chemistry, biology, computing, and social science.

Technical POC

Mark Raugas Portrait

Mark Raugas

Data Scientist
Dr. Mark Raugas is the Distinguished Scientist for Data Analytics in the AI and Data Analytics (AIDA) Division at PNNL.  He has led research efforts in mathematics, physics, advanced computing, cybersecurity, and artificial intelligence.

Research topics

Computing & Analytics
Data Science & Computing
High-Performance Computing