performance

Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Distributed data processing ecosystems are widespread and their components are highly specialized, such that efficient interoperability …
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Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Distributed data processing ecosystems are widespread and their components are highly specialized, such that efficient interoperability …
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Performance Characteristics of the BlueField-2 SmartNIC
High-performance computing (HPC) researchers have long envisioned scenarios where application workflows could be improved through the …
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Is Big Data Performance Reproducible in Modern Cloud Networks?
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners and performance engineers. Yet, our …
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MBWU: Benefit Quantification for Data Access Function Offloading
The storage industry is considering new kinds of storage de- vices that support data access function offloading, i.e. the ability to …
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Quantifying benefits of offloading data management to storage devices
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Taming Performance Variability
The performance of compute hardware varies: software run repeatedly on the same server (or a different server with supposedly identical …
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quiho: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles
We introduce quiho, a framework for profiling application performance that can be used in automated performance regression tests. quiho …
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Erasure Coding & Read/Write Separation in Flash Storage
We want to create a scalable flash storage system that provides read/write separation and uses erasure coding to provide reliability …
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Run, Fatboy, Run: Applying the Reduction to Uniprocessor Algorithm to Other Wide Resources
The RUN (Reduction to UNiprocessor) [18, 19, 13] algorithm was first described by Regnier, et al. as a novel and elegant solution to …
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