Speaker
James Letts
(Univ. of California San Diego (US))
Description
Scheduling multi-core workflows in a global HTCondor pool is a multi-dimensional problem whose solution depends on the requirements of the job payloads, the characteristics of available resources, and the boundary conditions such as fair share and prioritization imposed on the job matching to resources. Within the context of a dedicated task force, CMS has increased significantly the scheduling efficiency of workflows in reusable multi-core pilots by various improvements to the limitations of the glideinWMS pilots, accuracy of resource requests, efficiency and speed of the HTCondor infrastructure, and job matching algorithms.
Primary authors
James Letts
(Univ. of California San Diego (US))
Antonio Perez-Calero Yzquierdo
(Centro de Investigaciones Energéti cas Medioambientales y Tecno)
David Alexander Mason
(Fermi National Accelerator Lab. (US))
Diego Davila Foyo
(Autonomous University of Puebla (MX))
Brian Paul Bockelman
(University of Nebraska Lincoln (US))
Farrukh Aftab Khan
(Fermi National Accelerator Lab. (US))
Amjad Kotobi
(University of Malaya (MY))
Krista Larson
(Fermi National Accelerator Lab. (US))
Kenyi Paolo Hurtado Anampa
(University of Notre Dame (US))
Todor Trendafilov Ivanov
(University of Sofia (BG))
Marco Mascheroni
(Univ. of California San Diego (US))
