Published June 11, 2014 | Version v1
Journal article

CMS multicore scheduling strategy

  • 1. Port d'Informació Científica (PIC), Universität Autónoma de Barcelona, Bellaterra (Barcelona) (Spain)
  • 2. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, CIEMAT, Madrid (Spain)
  • 3. Fermi National Accelerator Laboratory (United States)
  • 4. University of California San Diego (United States)

Description

In the next years, processor architectures based on much larger numbers of cores will be most likely the model to continue 'Moore's Law' style throughput gains. This not only results in many more jobs in parallel running the LHC Run 1 era monolithic applications, but also the memory requirements of these processes push the workernode architectures to the limit. One solution is parallelizing the application itself, through forking and memory sharing or through threaded frameworks. CMS is following all of these approaches and has a comprehensive strategy to schedule multicore jobs on the GRID based on the glideinWMS submission infrastructure. The main component of the scheduling strategy, a pilot-based model with dynamic partitioning of resources that allows the transition to multicore or whole-node scheduling without disallowing the use of single-core jobs, is described. This contribution also presents the experiences made with the proposed multicore scheduling schema and gives an outlook of further developments working towards the restart of the LHC in 2015.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/513/3/032074

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
513
Journal Issue
3
Journal Page Range
[7 p.]
ISSN
1742-6596

Conference

Title
20. international conference on computing in high energy and nuclear physics
Acronym
CHEP2013
Dates
14-18 Oct 2013
Place
Amsterdam (Netherlands)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46083215
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CERN LHC; COMPUTER ARCHITECTURE; MATHEMATICAL SOLUTIONS; PARALLEL PROCESSING; PARTITION; RESOURCES; SCHEDULES
Descriptors DEC
ACCELERATORS; CYCLIC ACCELERATORS; PROGRAMMING; STORAGE RINGS; SYNCHROTRONS

Optional Information

Collaborations
CMS Collaboration