Warehouse-Scale and Parallel Systems
Our society is increasingly relying on massive-scale computing systems "in the cloud" for all facets of life, from transportation and communication to business, governing, and scientific discovery. These applications are enabled by highly-parallel, warehouse-scale computing infrastructure operated by service providers like Amazon, Facebook, Microsoft and Google as well as other private and government entities. Designers of the next-generation of data intensive applications and warehouse-scale systems face enormous challenges, including improving performance, enabling greater programmer productivity, guaranteeing quality of service, using energy efficiently, provisioning power, maintaining reliability, controlling temperature, ensuring manageability, etc.|
In this research space, CSE faculty are pursuing the design of the hardware and software infrastructure for massive-scale computing systems. Major research topics include server architecture, hardware specialization, accelerators and general-purpose GPU computing, computational science, emerging memory technologies, data center physical infrastructure, distributed software and storage systems, virtualization, high-performance networking, and programming systems for cloud computing.
SpecialtiesImproving Efficiency in Warehouse Scale Computers
Parallel Computing and Supercomputing
Related LinksComputer Engineering Lab
Software Systems Lab
Theory of Computation Lab
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CSE FacultyAustin, Todd
Cafarella, Michael J.
Chen, Peter M.
Shin, Kang G.
Stout, Quentin F.
Wenisch, Thomas F.