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Andrew Prout

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Papers (20)

  1. Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers cs.DC · 2019 · author #14
  2. A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases cs.DB · 2019 · author #15
  3. Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud cs.DC · 2018 · author #13
  4. Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer cs.DC · 2018 · author #15
  5. Measuring the Impact of Spectre and Meltdown cs.DC · 2018 · author #1
  6. Design, Generation, and Validation of Extreme Scale Power-Law Graphs cs.DC · 2018 · author #17
  7. Performance Measurements of Supercomputing and Cloud Storage Solutions cs.DC · 2017 · author #10
  8. MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment cs.DC · 2017 · author #1
  9. Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor cs.PF · 2017 · author #14
  10. Scalable System Scheduling for HPC and Big Data cs.DC · 2017 · author #9
  11. Benchmarking SciDB Data Import on HPC Systems cs.DB · 2016 · author #15
  12. Scheduler Technologies in Support of High Performance Data Analysis cs.DC · 2016 · author #9
  13. LLMapReduce: Multi-Level Map-Reduce for High Performance Data Analysis cs.DC · 2016 · author #10
  14. Enhancing HPC Security with a User-Based Firewall cs.DC · 2016 · author #1
  15. D4M: Bringing Associative Arrays to Database Engines cs.DB · 2015 · author #11
  16. Lustre, Hadoop, Accumulo cs.DC · 2015 · author #11
  17. Enabling On-Demand Database Computing with MIT SuperCloud Database Management System cs.DB · 2015 · author #1
  18. Big Data Strategies for Data Center Infrastructure Management Using a 3D Gaming Platform cs.DC · 2015 · author #10
  19. D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database cs.DB · 2014 · author #11
  20. Achieving 100,000,000 database inserts per second using Accumulo and D4M cs.DB · 2014 · author #10

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