Computer architecture research at Georgia
Tech spans many areas of modern processing. The faculty and their
affiliated research groups conduct research on all aspects of future
microprocessor technology including performance, power, multi-threading,
chip-multiprocessing, security, programmability, reliability, interaction with
compilers and software, and the impact of future technologies. There are many
active research collaborations between faculty in the College of Computing and the School of Electrical and Computer
Engineering. For more information about specific computer architecture
projects at Georgia Tech, please see the webpages for the individual principal
investigators listed below.
Alphabetically by last name
- Conte, Tom
- Novel and post-Moore ways to compute
- Daglis, Alexandros
- rack-scale computing, network-compute integration, datacenter architecture
- Hao, Callie
- Hardware design and machine learning
- Kim, Hyesoon
- Hardware and compiler optimizations for high performance and energy efficiency
- Krishna, Tushar
- Interconnection Network and Reconfigurable computing
- Lin, Celine
- Efficient machine learning algorithms, accelerators, and systems
- Pande, Santosh
- Compiler optimizations, interaction with architecture
- Prvulovic, Milos
- Multi-processing, hardware support for security and debuggability
- Qureshi, Moin
- Computer architectures and new memory systems
- Ramachandran, Kishore
- Architectures for distributed and ubiquitous computing
January 2023: Six papers accepted at ASPLOS 2023!
January 2023: Seven papers accepted at HPCA 2023!
October 2022: Dr. Lin joined the School of Computer Science. Welcome Celine!
September 2022: Two papers accepted at MICRO 2022!
September 2021: Five papers accepted at MICRO 2021!
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