Systems, Architectures, and Emerging Technologies
Research focuses on data-centric architectures and systems and other areas spanning the hardware-software stack, including memory and storage, AI architectures, and modeling and simulation (ModSim). Work is motivated by data-intensive challenges, large-scale graph problems, and technology at different stages of maturity and integration, and involves leading-edge research in:
- Characterizing new materials for computing
- Evaluating/integrating technologies to design next-generation architectures via codesign
- Applying measurement, ModSim, and integrating and operating testbeds (when practical) to assess computing technology and accurately predict performance, power, and reliability at different scales
- Emphasizing new technologies, including “stretch CMOS” and “beyond CMOS,” that optimize the performance, usability, and applicability at different scales of computing, from embedded to extreme scales.
Systems, Architectures, and Emerging Technologies also is at the crossroads of research conducted as part of other initiatives and activities underway at Brookhaven Lab’s signature, data-rich facilities, including the Relativistic Heavy Ion Collider, National Synchrotron Light Source II, Center for Functional Nanomaterials, and efforts related to the Electron-Ion Collider.
Quantum Computing Group
The Quantum Computing Group addresses quantum information science research challenges ranging from novel algorithms and materials for the next generation of quantum computers to new quantum devices and sensors. QCG conducts leading-edge research into quantum algorithms, programming models, and optimization schemes, and optimized design of advanced quantum systems, networks and the quantum Internet. The group is a member of the Northeast Quantum Systems Center (NEQsys), a collaboration led by Brookhaven Lab that includes northeastern-based universities and industrial partners.
Advanced Computing Lab
Details to come.
Architecture, Modeling, and Simulation
Details to come.