LSSG Openings

Graduate Students
  • Zero-carbon Cloud, Scalable HPC and Data Center computing based on Stranded power
    • Novel power management, system management, new volatile services models, and distributed systems application models, smart power grid
  • Data-intensive computing, Scalable In-memory analytics In-situ Data Analytics
    • Including novel execution models, algorithm and system analysis and performance characterization, large-scale experiments (1000's of nodes), efficient block-based and orchestrated computing, efficient exploitation of non-volatile memory
  • Data center Workflow, Data-center Architecture, and OpenStack
    • Study of real production data centers and workflows, performance analysis of complex applications (genomics) in a complex networked, storage OpenStack environment, analysis of computational structure, proposal and evaluation of new data center architectures and OpenStack features
    • Study of exploiting new computer architecture structures (heterogeneous) for data centers that can achieve 10-fold to 100-fold energy and performance improvements.  Balancing these opportunities with flexible programming from high level software and programming languages.
  See our group homepage 
for more background, and i
f you are interested, email Professor Andrew Chien.

The LSSG is part of the Systems Group in the University of Chicago's   Department of Computer Science, and also affiliated with Chicago's Computation Institute, and Argonne National Laboratory's Mathematics and Computer Science Division.