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Jaylen Wang, PhD candidate at Carnegie Mellon ECE, working on sustainable cloud and data center systems.
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A current research project I’m leading within the Harvard Architecture, Circuits, and Compilers Group with the help of Abdulrahman Mahmoud. The project aims to develop a software framework for analyzing a DNN accelerator’s resilience to errors (particularly bit flips caused by soft errors). The project’s novel approach is to use dataflow loop nest analysis to understand how an erroneous value in the memory hierarchy will be reused at the software-visible output activation level.
A previous research project I led as an Undergraduate within the Harvard Architecture, Circuits, and Compilers Group with the help of Udit Gupta. The project aimed to better understand the manufacturing carbon footprint of crypto mining hardware and how ASIC designs of mining algorithms leads to interesting emissions characteristics.
I’m currently leading a research project that is researching ways to reduce the environmental impact of datacenters, particularly centering around reducing the embodied emissions of hardware used in datacenters/hyperscale systems as well as reducing the waste generated from this hardware.
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