Alicia Golden

PhD Student, Computer Science
Harvard University

Email: aliciagolden@g.harvard.edu

Hello! My name is Alicia, and I am a second-year PhD student at Harvard University advised by David Brooks and Gu-Yeon Wei. My research sits at the intersection of computer architecture, machine learning, and systems, with a focus on designing efficient hardware systems for large-scale AI. Prior to Harvard, I completed my undergrad at Cornell University, where I received a B.S. in Electrical and Computer Engineering.

Publications

[ISPASS 2024] A. Golden, S. Hsia, F. Sun, B. Acun, B. Hosmer, Y. Lee, Z. DeVito, J. Johnson, G. Wei, D. Brooks, CJ Wu. Generative AI Beyond LLMs: System Implications of Multi-Modal Models. International Symposium on Performance Analysis of Systems and Software (ISPASS), May 2024.
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[ISCA 2024] S. Hsia, A. Golden, B. Acun, N. Ardalani, Z. DeVito, GY Wei, D. Brooks, CJ Wu. MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. International Symposium on Computer Architecture (ISCA), June 2024.
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[EMC2 2024] A. Golden, S. Hsia, F. Sun, B. Acun, B. Hosmer, Y. Lee, Z. DeVito, J. Johnson, G. Wei, D. Brooks, CJ Wu. Is Flash Attention Stable? The 9th Energy Efficient Machine Learning and Cognitive Computing (EMC2) Workshop co-located with The ACM International Conference on Architectural Support for Programming Languages and Operating Systems, April 2024.

Professional Experience

AI Research Scientist Intern, Meta FAIR (Fundamental AI Research Group)
ASIC Design Intern, SpaceX
Silicon Design Engineering Intern, Advanced Micro Devices (AMD)
Software Engineering Intern, 3M

News

April 2024 Presented poster at Computing Research Association – Widening Participation Grad Cohort Workshop
March 2024 Accepted to the Young Architect’s Workshop to be held with ASPLOS ’24
March 2024 ISCA Paper Accepted!
February 2024 ISPASS Paper Accepted!
May 2023 Meta FAIR (Fundamental AI Research) Internship