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D-Index & Metrics

Computer Science

D-Index
35
Citations
5715
World Ranking
11633
National Ranking
4771

Overview

Eric Sedlar is affiliated with Oracle in the United States and specializes primarily in the field of Computer Science. Their research contributions cover diverse subfields including Computer Networks and Communications, Artificial Intelligence, Signal Processing, and Hardware and Architecture.

The main topics addressed in their work include Advanced Database Systems and Queries, Distributed Systems and Fault Tolerance, Data Management and Algorithms, Parallel Computing and Optimization Techniques, Stochastic Gradient Optimization Techniques, and Quantum Computing Algorithms and Architecture.

Eric Sedlar has published papers in notable venues such as the Proceedings of the VLDB Endowment and arXiv (Cornell University). Their recent publications include:

  • "Adaptive code generation for data-intensive analytics", 2021, Proceedings of the VLDB Endowment
  • "AMULET: Adaptive Matrix-Multiplication-Like Tasks", 2023, arXiv (Cornell University)

Frequent co-authors collaborating with Eric Sedlar are:

  • Junyoung Kim
  • Kenneth A. Ross
  • Lukas Stadler
  • Wangda Zhang

Their publication record shows a focus on scalable data management techniques and optimization methods relevant to high-performance and adaptive computing systems. The cross-disciplinary nature of the subfields and topics indicates an engagement with both theoretical and practical aspects of computing systems.

Best Publications

  • Providing a consistent hierarchical abstraction of relational data

    Nipun Agarwal;Eric Sedlar;Ravi Murthy;Namit Jain

  • FAST: fast architecture sensitive tree search on modern CPUs and GPUs

    Changkyu Kim;Jatin Chhugani;Nadathur Satish;Eric Sedlar

  • Sort vs. Hash revisited: fast join implementation on modern multi-core CPUs

    Changkyu Kim;Tim Kaldewey;Victor W. Lee;Eric Sedlar

  • Green-Marl: a DSL for easy and efficient graph analysis

    Sungpack Hong;Hassan Chafi;Edic Sedlar;Kunle Olukotun

  • Event notification system tied to a file system

    Eric Sedlar

  • Techniques for changing XML content in a relational database

    Anand Manikutty;Muralidhar Krishnaprasad;Ravi Murthy;Visar Nimani

  • Efficient query processing of XML data using XML index

    Ashish Thusoo;Ravi Murthy;Sivasankaran Chandrasekar;Nipun Agarwal

  • Hierarchical indexing for accessing hierarchically organized information in a relational system

    Eric Sedlar

  • File system that supports transactions

    Eric Sedlar

  • Index for accessing xml data

    Sivasankaran Chandrasekar;Ravi Murthy;Ashish Thusoo;Anh-Tuan Tran

  • Efficient extraction of xml content stored in a lob

    Sivasankaran Chandrasekar;Ashish Thusoo;Ravi Murthy;Nipun Agarwal

  • Performing an action in response to a file system event

    Thuvan Hoang;Sam Idicula;Nipun Agarwal;Ravi Murthy

  • Mechanism for uniform access control in a database system

    Ravi Murthy;Eric Sedlar;Nipun Agarwal;Sam Idicula

  • Database-managed file system

    Eric Sedlar

  • Mechanism to efficiently index structured data that provides hierarchical access in a relational database system

    Neema Jalali;Eric Sedlar;Nipun Agarwal;Ravi Murthy

  • Method and mechanism for efficient storage and query of xml documents based on paths

    Ravi Murthy;Nipun Agarwal;Eric Sedlar

  • Maintenance of hierarchical index in a relational system

    Eric Sedlar

  • Techniques for scalably accessing data in an arbitrarily large document by a device with limited resources

    Sivasankaran Chandrasekar;Ravi Murthy;Nipun Agarwal;Eric Sedlar

  • Efficient queribility and manageability of an xml index with path subsetting

    Ashish Thusoo;Sivasankaran Chandrasekar;Ravi Murthy;Nipun Agarwal

  • Unifying static and dynamic compiler optimizations in source-code bases

    Hassan Chafi;Mason Chang;Eric Sedlar

Frequent Co-Authors

Ravi Murthy
Ravi Murthy Oracle (United States)
Namit Jain
Namit Jain Business International Corporation
Hassan Chafi
Hassan Chafi Oracle (US)
Muralidhar Krishnaprasad
Muralidhar Krishnaprasad Salesforce (United States)
Nadathur Satish
Nadathur Satish Facebook (United States)
Pradeep Dubey
Pradeep Dubey Intel (United States)
Changkyu Kim
Changkyu Kim Facebook (United States)
Scott A. Brandt
Scott A. Brandt University of California, Santa Cruz
Kenneth A. Ross
Kenneth A. Ross Columbia University
Daniela Florescu
Daniela Florescu Oracle (United States)

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