Jennifer Brana

I am a PhD student in the Computer Science Department at Carnegie Mellon University. I am advised by Professor Nathan Beckmann and a member of CORGi@CMU and the Parallel Data Lab. I am supported by a NSF Graduate Research Fellowship.

My research interests lie in computer architecture and sustainable computing, specifically in the design and optimization of highly parallel architectures and memory systems. Currently, I work on near-data processing through my work on Polymorphic Cache Hierarchies.

I did my undergrad in computer science and computer engineering at the University of Portland. During my undergrad, I worked with Nathan Beckmann at Carnegie Mellon University as part of REUSE. I designed and formally verified a novel cache coherence protocol for near-cache accelerators and researched design methodologies for non-standard coherence protocols.

News

2023

• 2023-11-07: Presented Kobold at the CMU Parallel Data Lab (PDL) Workshop & Retreat.
• 2023-10-26: After advisor matching, I'm officially advised by Nathan Beckmann!
• 2023-06-05: Started my PhD at CMU CSD.
• 2023-04-04: Kobold will appear in IEEE Computer Architecture Letters (CAL).
• 2023-04-03: I will be attending Carnegie Mellon University to pursue a PhD in Computer Science!
• 2023-03-29: Awarded a NSF Graduate Research Fellowship!
• 2023-03-08: Selected as the 2023 Outstanding Senior in Computer Science at University of Portland.

2022

• 2022-10-03: Presented Kobold at the Student Research Competition at MICRO'22.
• 2022-10-02: Presented Kobold at WDDSA at MICRO'22.
• 2022-09-15: Kobold will also appear at the Student Research Competition at MICRO'22.
• 2022-09-07: Kobold: Simplified Cache Coherence for Cache-Attached Accelerators will appear at the 1st Workshop on Democratizing Domain-Specific Accelerators (WDDSA) at MICRO'22.

Education

Publications

Experience

Fun

I like to climb things, trail run, hike, and pick up heavy weights. Also, corgis.