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Xin Wang 0240

dblp:10/5630-240 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0000-9346-6931ORCID · verified

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

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 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
1 paper
Processor architecture and microarchitecture · 50% Memory systems · 50%
Network and information security
1 paper
Systems and software security · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › isolation
software fault isolation
0.912025
Segue & ColorGuard: Optimizing SFI Performance and Scalability on Modern Architectures · ASPLOS (1) 2025
Processor architecture and microarchitecture
instruction set architecture
0.912025
Segue & ColorGuard: Optimizing SFI Performance and Scalability on Modern Architectures · ASPLOS (1) 2025
Memory systems › memory architecture
tagged memory
0.912025
Segue & ColorGuard: Optimizing SFI Performance and Scalability on Modern Architectures · ASPLOS (1) 2025
Compilers and program optimization › program instrumentation
compiler instrumentation
0.312025
Segue & ColorGuard: Optimizing SFI Performance and Scalability on Modern Architectures · ASPLOS (1) 2025

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

x86-64 segmentation · 2.6memory protection keys · 2.6
YearPublicationVenuePosition
2025 Segue & ColorGuard: Optimizing SFI Performance and Scalability on Modern Architectures
abstract
Software-based fault isolation (SFI) enables in-process isolation through compiler instrumentation of memory accesses, and is a critical part of WebAssembly (Wasm). We present two optimizations that improve SFI performance and scalability: Segue uses x86-64 segmentation to reduce the cost of instrumentation on memory accesses, e.g., it eliminates 44.7% of Wasm's overhead on a Wasm-compatible subset of SPEC CPU 2006, and reduces overhead of Wasm-sandboxed font rendering in Firefox by 75%; ColorGuard leverages memory tagging (e.g., MPK), to enable up to a 15× increase in the number of Wasm instances that can run concurrently in a single address space, improving efficiency for high scale server-side workloads. We also explore the challenges of deploying these optimizations in three production toolchains: Wasm2c, WAMR and Wasmtime.
Shravan Narayan, Tal Garfinkel, Evan Johnson 0001, Zachary Yedidia, Yingchen Wang, Anjo Vahldiek-Oberwagner, Michael LeMay, Wenyong Huang, Xin Wang 0240, Mingqiu Sun, Dean M. Tullsen, Deian Stefan
ASPLOS (1)10