'Sameer Kumar'

Contact Information:

E-Mail  skumar2@uiuc.edu
Phone: 217-333-5827
S-mail: 2508 DCL
1304 W. Springfield Ave.
Urbana, IL 61801

Sameer Kumar

Department of Computer Science
University of Illinois at Urbana-Champaign

A graduate student working with Dr. Kale in the Parallel Programming Laboratory.

Publications:

  • 00-02 L. V. Kale, Sameer Kumar, and Jayant DeSouza; An Adaptive Job Scheduler for Timeshared Parallel Machines
  • 01-06 Sameer Kumar; Thesis: An Adaptive Job Scheduler for Timeshared Parallel Machines
  • 02-01 L. V. Kale, Sameer Kumar, and Jayant DeSouza; A Malleable-Job System for Timeshared Parallel Machines
  • 02-07 James C. Phillips, Gengbin Zheng, Sameer Kumar, Laxmikant V. Kale; NAMD: Biomolecular Simulation on Thousands of Processors
  • 02-10 L. V. Kale and Sameer Kumar and Krishnan Vardarajan; A Framework for Collective Personalized Communication
  • 03-01 L.V.Kale, Sameer Kumar, Jayant DeSouza, Mani Potnuru, and Sindhura Bandhakavi; Faucets: Efficient Resource Allocation on the Computational Grid
  • 03-03 Laxmikant V. Kale, Sameer Kumar, Gengbin Zheng, Chee Wai Lee; Scaling Molecular Dynamics to 3000 Processors with Projections: A Performance Analysis Case Study
  • 03-04 L. V. Kale and Sameer Kumar; Scaling Collective Multicast on High Performance Clusters
  • 03-11 Sameer Kumar and L. V. Kale; Scaling Collective Multicast on Fat-tree Networks
  • 03-15 Sameer Kumar and L. V. Kale; Opportunities and Challenges of Modern Communication Architectures: Case Study with QsNet
  • 04-05 Laxmikant V. Kale, Gengbin Zheng, Chee Wai Lee, Sameer Kumar; Scaling Applications to Massively Parallel Machines Using Projections Performance Analysis Tool
  • 04-09 L.V.Kale, Sameer Kumar, Jayant DeSouza, Mani Potnuru, and Sindhura Bandhakavi; Faucets: Efficient Resource Allocation on the Computational Grid
  • 05-02 Sameer Kumar, Laxmikant V. Kale and Craig Stunkel ; Architecture for supporting Hardware Collectives in Output-Queued High-Radix Routers
  • 05-04 Chao Huang, Gengbin Zheng, Sameer Kumar, Laxmikant V. Kale; Performance Evaluation of Adaptive MPI

  • Back to the Parallel Programming Lab home.