Muutke küpsiste eelistusi

E-raamat: Job Scheduling Strategies for Parallel Processing: 25th International Workshop, JSSPP 2022, Virtual Event, June 3, 2022, Revised Selected Papers

Edited by , Edited by , Edited by
  • Formaat - EPUB+DRM
  • Hind: 67,91 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2022, held as a virtual event in June 2022 (due to the Covid-19 pandemic).

The 12 revised full papers presented were carefully reviewed and selected from 19 submissions. In addition to this,1 keynote paper was included in the workshop. The volume contains two sections: Technical papers and Open Scheduling Problems.

Insights and Requirements for Future Workflow Scheduling.- Technical
papers.- On the Feasibility of Simulation-driven Portfolio Scheduling for
Cyberinfrastructure Runtime Systems.- AI-Job Scheduling on Systems with
Renewable Power Sources.- Toward Building a Digital Twin of Job Scheduling
and Power Management on an HPC System.- Encoding for Reinforcement Learning
Driven Scheduling.- RADICAL-Pilot and PMIx/PRRTE: Executing heterogeneous
workloads at large scale on partitioned HPC resources.- RARE: Renewable
Energy Aware Resource Management in Datacenters.- Dynamic Management of CPU
Resources Towards Energy Efficient and Profitable Datacentre
Operation.- Optimization of Execution Parameters of Moldable Ultrasound
Workflows under Incomplete Performance Data.- Scheduling of Elastic Message
Passing Applications on HPC Systems.- Improving Accuracy of Walltime
Estimates in PBS Professional using Soft Walltimes.- Re-making the
Movie-making Machine.- Open Scheduling Problems.- Using Kubernetes in
Academic Environment: Problems and Approaches.