Future Computing with Rogues Gallery

Goals

Computing is changing -energy constraints and performance bottlenecks create new opportunities for unique and novel hardware designs. However, these new systems require new approaches for application development, management, and visualization. Our main goal for this project is to help interface new “post-Moore” hardware like neuromorphic field-programmable analog arrays (FPAAs), memory-centric architectures like the Emu Chick, and tightly coupled FPGAs with current software technologies. We aim to develop easy-to-use software demonstrations and examples for each new piece of hardware in the Rogues Gallery testbed and to design strategies to extend the hardware for interesting research problems and class projects.

Issues Involved or Addressed

Extremely heterogeneous systems management, neuromorphic and analog design, software tools for novel hardware, processing of sensitive / encrypted data.

Partners/Sponsors

The Rogues Gallery VIP team is grateful to acknowledge student support from Sandia National Labs for ongoing undergraduate research projects on post-Moore computing technologies including neuromorphic, quantum, and near-memory computing.

Methods and Technologies

  • Neuromorphic Computing
  • Linux System Design and Management
  • Quantum Computing
  • Memory-centric Computing
  • Power Monitoring and Measurement
  • High-performance Embedded Computing

Majors Sought

Computing: Computational Media, Computer Science

Engineering: Computer Engineering, Electrical Engineering, Industrial Engineering, Mechanical Engineering

Preferred Interests and Preparation

Required skills include: Interest in and willingness to learn basic Linux commands, experience with either Python or C programming. Willingness to learn/use Markdown and git.
Suggested skills include:
CompE: Background/interest in FPGA or FPAA programming; Completion of ECE 3400 would be helpful
CS/CSE: Background/interest in high performance computing, encryption of data, data analysis, python GUI and python-related analysis tools.
Industrial Engineering: Background/interest in workflow design, machine learning
Mechanical Engineering: Interest in sensors, power monitoring, and embedded sensor design.
Computational Media: Background/interest in interactive GUI design, visualization, and or web design.

Advisor

Jeffrey Young
Jeffrey Young
jyoung9@gatech.edu

Day, Time & Location

Full Team Meeting:
11:00-11:50 Wednesday
Klaus 2446

Subteam meetings scheduled after classes begin.