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D-Index & Metrics

Computer Science

D-Index
40
Citations
10787
World Ranking
9091
National Ranking
3864

Overview

Andrew S. Grimshaw is affiliated with the University of Virginia in the United States. Their research primarily focuses on the field of Computer Science, with notable contributions across several subfields.

The scientist's work spans these main subfields of study:

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Oncology

Key research topics covered in their publications include:

  • Parallel Computing and Optimization Techniques
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Big Data Technologies and Applications
  • Teaching and Learning Programming

Grimshaw has contributed to various publication venues, frequently appearing in:

  • arXiv (Cornell University)
  • Endoscopy
  • The European Physical Journal Special Topics
  • Journal of the Brazilian Computer Society
  • Hematology Transfusion and Cell Therapy

Their recent papers include:

  • Resource-aware research on Universe and Matter: call-to-action in digital transformation, 2024, The European Physical Journal Special Topics
  • Launchpad: Learning to Schedule Using Offline and Online RL Methods, 2022, arXiv (Cornell University)
  • RARE: Renewable Energy Aware Resource Management in Datacenters, 2022, arXiv (Cornell University)
  • Resource-aware Research on Universe and Matter: Call-to-Action in Digital Transformation, 2023, arXiv (Cornell University)
  • HighP5: Programming using Partitioned Parallel Processing Spaces, 2024, Journal of the Brazilian Computer Society

Throughout their research career, Grimshaw has collaborated frequently with:

  • Vanamala Venkataswamy
  • Jake Grigsby
  • Yanjun Qi
  • B. Brüers
  • Markus Demleitner

Best Publications

  • XSEDE: Accelerating Scientific Discovery

    John Towns;Timothy Cockerill;Maytal Dahan;Ian T. Foster

  • The Legion vision of a worldwide virtual computer

    Andrew S. Grimshaw;Wm. A. Wulf

  • Scalable GPU graph traversal

    Duane Merrill;Michael Garland;Andrew Grimshaw

  • Easy-to-use object-oriented parallel processing with Mentat

    Andrew S. Grimshaw

  • The Legion Resource Management System

    Steve J. Chapin;Dimitrios Katramatos;John F. Karpovich;Andrew S. Grimshaw

  • Legion: The Next Logical Step Toward a Nationwide Virtual Computer

    Andrew S. Grimshaw;William A. Wulf;James C. French;Alfred C. Weaver

  • The core Legion object model

    M. Lewis;A. Grimshaw

  • HIGH PERFORMANCE AND SCALABLE RADIX SORTING: A CASE STUDY OF IMPLEMENTING DYNAMIC PARALLELISM FOR GPU COMPUTING

    Duane Merrill;Andrew S. Grimshaw

  • Revisiting sorting for GPGPU stream architectures

    Duane G. Merrill;Andrew S. Grimshaw

  • Resource Management in Legion

    Steve J. Chapin;Dimitrios Katramatos;John Karpovich;Andrew S. Grimshaw

  • Legion-a view from 50,000 feet

    A.S. Grimshaw;W.A. Wulf

  • Wide area computing: resource sharing on a large scale

    A. Grimshaw;A. Ferrari;F. Knabe;M. Humphrey

  • Metasystems: An Approach Combining Parallel Processing and Heterogeneous Distributed Computing Systems

    Andrew S. Grimshaw;Jon B. Weissman;Emily A. West;Edmond C. Loyot

  • Legion: An Operating System for Wide-Area Computing

    A. Grimshaw;A. Ferrari;F. Knabe;M. Humphrey

  • LegionFS: A Secure and Scalable File System Supporting Cross-Domain High-Performance Applications

    Brian S. White;Michael Walker;Marty Humphrey;Andrew S. Grimshaw

  • High-Performance and Scalable GPU Graph Traversal

    Duane Merrill;Michael Garland;Andrew Grimshaw

  • The Legion Grid Portal

    Anand Natrajan;Anh Nguyen-Tuong;Marty A. Humphrey;Michael Herrick

  • Extensible file system (ELFS): an object-oriented approach to high performance file I/O

    John F. Karpovich;Andrew S. Grimshaw;James C. French

  • Parallel Scan for Stream Architectures

    Andrew Grimshaw;Duane Merrill

  • Studying protein folding on the Grid: experiences using CHARMM on NPACI resources under Legion

    Anand Natrajan;Michael Crowley;Nancy Wilkins-Diehr;Marty A. Humphrey

  • JobQueue: A Computational Grid-Wide Queueing System

    Dimitrios Katramatos;Marty Humphrey;Andrew S. Grimshaw;Steve J. Chapin

  • WS-Naming: location migration, replication, and failure transparency support for Web Services

    Andrew Grimshaw;Mark Morgan;Karolina Sarnowska

Frequent Co-Authors

Marty Humphrey
Marty Humphrey University of Virginia
William A. Wulf
William A. Wulf University of Virginia
Ian Foster
Ian Foster University of Chicago
William R. Pearson
William R. Pearson University of Virginia
Michael Garland
Michael Garland Nvidia (United States)
Steven Tuecke
Steven Tuecke University of Chicago
John N. Weinstein
John N. Weinstein The University of Texas MD Anderson Cancer Center
Borries Demeler
Borries Demeler University of Lethbridge
John C. Knight
John C. Knight University of Virginia
Keshav Pingali
Keshav Pingali The University of Texas at Austin

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