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Shaurya Patel

dblp:309/5383 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2025
0009-0000-6759-1069ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Memory systems · 84% High-performance computing · 16%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems › kernel
linux kernel
0.812024
FetchBPF: Customizable Prefetching Policies in Linux with eBPF · USENIX ATC 2024
Memory systems
virtual memory management
0.812024
ExtMem: Enabling Application-Aware Virtual Memory Management for Data-Intensive Applications · USENIX ATC 2024
Memory systems
cache
0.212024
FetchBPF: Customizable Prefetching Policies in Linux with eBPF · USENIX ATC 2024
High-performance computing › data-intensive computing
data-intensive applications
0.212024
ExtMem: Enabling Application-Aware Virtual Memory Management for Data-Intensive Applications · USENIX ATC 2024
Memory systems › cache
prefetching
0.212024
FetchBPF: Customizable Prefetching Policies in Linux with eBPF · USENIX ATC 2024

Methods — techniques the papers use, named apart from their topics

eBPF · 1.5
YearPublicationVenuePosition
2025 Comparing Isolation Mechanisms with OSmosis
abstract
There exist many mechanisms, ranging from processes to virtual machines, for isolating untrusted computations from each other. Each mechanism explicitly isolates certain resources while, either implicitly or explicitly, sharing the rest. Unfortunately, we lack a comprehensive way to formally and systematically reason about which resources are shared, to what extent they are shared, and how this sharing determines the degree of isolation between any two computations.
Sidhartha Agrawal, Shaurya Patel, Arya Stevinson, Ilias Karimalis, Hugo Lefeuvre, Aastha Mehta, Reto Achermann, Margo I. Seltzer
PLOS@SOSP2
2024 FetchBPF: Customizable Prefetching Policies in Linux with eBPF
Xuechun Cao, Shaurya Patel, Soo-Yee Lim, Xueyuan Han, Thomas Pasquier
USENIX ATC2
2024 ExtMem: Enabling Application-Aware Virtual Memory Management for Data-Intensive Applications
Sepehr Jalalian, Shaurya Patel, Milad Rezaei Hajidehi, Margo I. Seltzer, Alexandra Fedorova
USENIX ATC2
2023 CHERI-picking: Leveraging capability hardware for prefetching
abstract
DRAM now accounts for over 30% of overall datacenter expense [30], due to its increasing cost and decreasing scaling. [19, 22]. As applications demand more memory, operators look for cost-effective solutions to handle these increasing requirements.
Shaurya Patel, Sidhartha Agrawal, Alexandra Fedorova, Margo I. Seltzer
PLOS@SOSP1