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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. My current work revolves around analyzing data movement and mitigating its performance impact in contemporary applications [ISCA ‘24]. I hope to explore this problem across the stack from the single-node architectural level to multi-machine distributed systems.
There are three main axes by which I’m doing this:
1) Avoiding (unnecessary) data movement,
2) Reducing (necessary) data movement, and
3) Hiding the overheads of data movement by overlapping it with other operations.
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
[ISCA '24] (MC)2: Lazy MemCopy at the Memory Controller
Aditya K Kamath, Simon Peter
ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)[ISCA '24] Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore
Dai C Jung, Max Ruttenberg, Paul Gao, Scott Davidson, Daniel Petrisko, Kangli Li, Aditya K Kamath et al.
ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)[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: