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Sanidhya Kashyap
Researcher at Georgia Institute of Technology
Publications - 17
Citations - 607
Sanidhya Kashyap is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 10, co-authored 11 publications receiving 471 citations.
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Proceedings ArticleDOI
Mosaic: Processing a Trillion-Edge Graph on a Single Machine
TL;DR: This paper designs a new graph processing engine, named Mosaic, and proposes a new locality-optimizing, space-efficient graph representation---Hilbert-ordered tiles, and a hybrid execution model that enables vertex-centric operations in fast host processors and edge-centric Operations in massively parallel coprocessors.
Proceedings ArticleDOI
Designing New Operating Primitives to Improve Fuzzing Performance
TL;DR: Three new operating primitives specialized for fuzzing are designed and implemented that solve performance bottlenecks and achieve scalable performance on multi-core machines and directly benefit large-scale fuzzing and cloud-based fuzzing services.
Proceedings ArticleDOI
Cross-checking semantic correctness: the case of finding file system bugs
TL;DR: The paper presents Juxta, a tool that automatically infers high-level semantics directly from source code, and applies it to 54 file systems in the stock Linux kernel, found 118 previously unknown semantic bugs and provided corresponding patches to 39 different file systems.
Proceedings Article
Understanding manycore scalability of file systems
TL;DR: It is observed that file systems are hidden scalability bottlenecks in many I/O-intensive applications even when there is no apparent contention at the application level.
Proceedings ArticleDOI
RLC - A Reliable Approach to Fast and Efficient Live Migration of Virtual Machines in the Clouds
TL;DR: RLC provides a reasonable solution for high-efficiency and less disruptive migration scheme by utilizing the three phases of the process migration, and introduces a learning phase to estimate the writable working set (WWS) prior to the migration, resulting in an almost single time transfer of the pages.