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researcher

Pradeep R. Fernando

2 papers hereh-index 5441 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.DC2

identity via Semantic Scholar / OpenAlex

most citedSparkle: Optimizing Spark for Large Memory Machines and Analytics

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2020

Persistence and Synchronization: Friends or Foes?

Pradeep Fernando, Irina Calciu, Jayneel Gandhi +2

Emerging non-volatile memory (NVM) technologies promise memory speed byte-addressable persistent storage with a load/store interface. However, programming applications to directly…

cs.DC2017★ 6 cited

Sparkle: Optimizing Spark for Large Memory Machines and Analytics

Mijung Kim, Jun Li, Haris Volos +7

Spark is an in-memory analytics platform that targets commodity server environments today. It relies on the Hadoop Distributed File System (HDFS) to persist intermediate checkpoint…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.