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🔗 Source: charm.cs.illinois.edu
📊 Size: 1.3 MB
📄 Pages: 11 pages
⬇️ Downloads: 205

Summary

Researchers from the University of Illinois at Urbana-Champaign explored parallelizing two-stage stochastic integer programs using branch-and-bound techniques, focusing on problems with integer solutions. They presented design variations and evaluated their scalability using sample aircraft allocation problems, achieving strong scaling to hundreds of cores. The work addressed the challenges of parallelizing stochastic integer optimization, which has seen little prior research. The researchers used a case study of military aircraft allocation, where integer solutions are required, and evaluated their designs using representative datasets.

Description

Researchers from the University of Illinois at Urbana-Champaign explored parallelizing two-stage stochastic integer programs using branch-and-bound techniques,...

Technical Information

  • File Format: PDF
  • File Size: 1.3 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 205
  • Last Updated: 10 hours ago

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