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
Theory of Computation Lab
Related News Articles2019-05-02 Chowdhury receives VMWare Award to further research on cluster-wide... 2019-03-19 Chowdhury wins NSF CAREER award for making memory cheaper, more... 2019-03-06 Two solutions for GPU efficiency can boost AI performance 2017-02-17 Harsha Madhyastha Selected for Google Faculty Award 2016-02-16 Mosharaf Chowdhury Receives Google Faculty Research Award to Develop... 2015-10-28 The Future of Data Science: Kicking Off U-Ms Proactive Step into an... 2015-03-25 Voice Control Will Force an Overhaul of the Whole Internet 2015-03-16 Researchers just built a free, open-source version of Siri 2015-03-16 Engineers Bring A New Open-Source Siri To Life 2015-03-16 Free Sirius One-Ups Siri 2015-03-12 Sirius Is the Google-Backed Open Source Siri 2015-03-12 Meet Sirius: An Open-Source Digital Assistant 2014-12-19 Protean Code Allows Data Center Servers to Adapt to Changing... 2011-07-28 Wenisch: WEMU Issues of the Environment - Interview on Data Centers... 2011-04-22 David Meisner Receives Yahoo! 2011 Key Scientific Challenges (KSC)... 2009-03-12 PowerNap and RAILS provide roadmap for reduced data center energy...
CSE FacultyAustin, Todd
Cafarella, Michael J.
Chen, Peter M.
Shin, Kang G.
Stout, Quentin F.
Wenisch, Thomas F.
ECE FacultyAustin, Todd
Shin, Kang G.