CODES

Co-Design of Multi-Layer Exascale Storage Architectures

The goal of the CODES project is to use highly parallel simulation to explore the design of exascale storage architectures and distributed data-intensive science facilities.

Increasingly, science endeavors rely heavily on data management, analysis, and storage as part of the discovery process. To serve large communities of scientists, complex systems and instruments are deployed across multiple institutions to manage and analyze data produced from experiments, observational platforms, and computational simulation. Evaluating designs and coordinating deployment and operation of such a virtual data facility poses a significant challenge. An ability to simulate these environments would transform the approach taken to design, procurement, tuning, and upgrade of these facilities.

Core Team

E-mail: rross@mcs.anl.gov

Resources

Handouts

The goal of the CODES project is use highly parallel simulation to explore the design of exascalestorage architectures and distributed data-intensive...

Posters

CODES Poster for January 2015 PI Meeting

Quad Charts

The goal of the CODES project is use highly parallel simulation to explore the design of exascale interconnect and storage architectures and...
-Employ highly parallel discrete-event simulation to explore the characteristics of potential exascale hardware and software architectures. -Explore...