Computational Systems and Technology

Research Areas

Research at the Computational Systems and Technology division comprises novel quantum and supercomputing approaches, including computer architecture, VLSI, compilers, and other tools for maximizing high-end systems use.

Science Automation Technologies (SciTech)

Tools and techniques for automating complex, large-scale computational processes used in data- and compute-intensive research in astronomy, bioinformatics, climate modeling and other fields.

Reconfigurable Computing

Pursues tools centric research in FPGA and front-end ASIC design to realize next generation applications (ML, Autonomy) in challenging domains (space, security).

Heterogeneous Computing

High-performance and embedded computing platforms, performance analysis and optimization of virtualization and provisioning techniques to processors and accelerators, networking, and storage, scheduling and monitoring.

Novel Electronics

The Novel Electronics group works closely with MOSIS to pursue research in Nano-scale electronics, microarchitectures, and integrated circuits to address "More-than-Moore" approaches for computing efficiencies.

Quantum Computing and Information

Seeks to close the gap between academic research in quantum computation and real-world critical problems by exploring the power of adiabatic quantum computing.

Decision Systems

Behavior-driven decision systems, including smart infrastructures, intelligent command and control, and predictive analysis for major smart grid systems, smart buildings and infrastructure protection.

Information and Society

Provide access to digital content to populations with limited Internet access.