Steven Yu ‘23 

Steven studied how eyewear protected against transmission of respiratory viral infections, including SARS-CoV-2.

Why did you pursue this project?
I’ve always been interested in all aspects of computers, whether it be hardware or software. That motivated me to study the field of computer architecture, where I’m focused on helping create faster computing systems to keep up with the ever-increasing demands of various applications. In today’s computing systems, memory access is a crucial bottleneck. Although the actual processing has steadily improved year after year, moving data to and from the processor is costly in both time and energy. Many data-intensive workloads suffer from this data movement bottleneck, including metagenomics. To remedy this issue, I am studying a new computing paradigm: Processing-In-Memory (PIM). PIM allows computation to be done in the memory or near the memory, reducing the costs of data movement. This summer, I will be working on implementing and optimizing workloads (i.e. sequence alignment) to utilize these faster PIM systems (i.e. UPMEM).

Westchester Science and Engineering Fair 2022