Heya! I’m a Ph.D. student at the University of Washington’s Paul G Allen School of Computer Science and Engineering advised by Professor Simon Peter. I enjoy building high-performance software tailored to efficiently utilise underlying architectures/systems.

Prior to this, I spent two years as a research assistant at the Indian Institute of Science, working with Professor Arkaprava Basu. Here, I worked on improving race detection in GPUs [ISCA ‘20, SOSP ‘21], and improving GPU performance through the use of NVM technology [ASPLOS ‘22, ‘23].

I try to weightlift every weekday, and I’m always on the lookout for workout buddies. If you’re at UW and love pumping iron as much as I do, please hit me up!

Publications

• [ASPLOS '23] Scoped Buffered Persistency Model for GPUs

  Shweta Pandey*, Aditya K Kamath*, and Arkaprava Basu
  (*Authors contributed equally to this work)
  ACM 28th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

• [ASPLOS '22] GPM: Leveraging Persistent Memory from a GPU

  Shweta Pandey*, Aditya K Kamath*, and Arkaprava Basu
  (*Authors contributed equally to this work)
  ACM 27th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

• [SOSP '21] iGUARD: In-GPU Advanced Race Detection

  Aditya K Kamath and Arkaprava Basu
  ACM SIGOPS 28th Symposium on Operating Systems Principles (SOSP)

• [ISCA '20] ScoRD: A Scoped Race Detector for GPUs

  Aditya K Kamath*, Alvin A George*, and Arkaprava Basu
  (*Authors contributed equally to this work)
  ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)

Still here? Curious to see what first contact with aliens might look like?
Check out this talk I gave at the ASPLOS 2023 “Wild and Crazy Ideas” session: