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Julian Shun

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Julian Shun is an Associate Professor of Electrical Engineering and Computer Science at MIT and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL).14 His research focuses on parallel algorithms and programming, with emphasis on designing algorithms and frameworks for large-scale graph processing, spatial data analysis, and text analytics.13

Shun's academic background includes:

  • Ph.D. in Computer Science from Carnegie Mellon University
  • Bachelor's degree in Computer Science from UC Berkeley
  • Postdoctoral Miller Research Fellowship at UC Berkeley13

His notable achievements and awards include:

  • NSF CAREER award
  • DOE Early Career Award
  • ACM Doctoral Dissertation Award
  • CMU School of Computer Science Doctoral Dissertation Award
  • Google Faculty Research Award
  • Google Research Scholar Award
  • Facebook Graduate Fellowship
  • Best paper awards at PLDI, SPAA, CGO, and DCC1

Shun is also recognized for his contributions to algorithm engineering, particularly in revolutionizing large-scale graph processing on shared-memory machines. He co-developed frameworks such as Ligra, Graph-Based Benchmark Suite (GBBS), and Aspen, which have significantly impacted both academic research and industry applications in handling massive graphs efficiently.2

Highlights

Dec 1 · rtinsights.com
Julian Shun, Author at RTInsights
Oct 4 · eecs.mit.edu
Julian Shun - MIT EECS
Julian Shun - MIT EECS
Julian Shun - MIT-IBM Watson AI Lab
Jan 1 · awards.acm.org
Julian Shun - ACM Awards - Association for Computing Machinery
Julian Shun - ACM Awards - Association for Computing Machinery
Jan 1 · openreview.net
Julian Shun | OpenReview
Julian Shun - Simons Institute
Julian Shun - Simons Institute

Related Questions

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What are the key differences between the Ligra, GBBS, and Aspen frameworks?
Julian Shun
Julian Shun, photo 1
Julian Shun, photo 2
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Location

United States