Job Scheduling Strategies for Parallel Processing: IPDPS by Kento Aida (auth.), Dror G. Feitelson, Larry Rudolph (eds.)

By Kento Aida (auth.), Dror G. Feitelson, Larry Rudolph (eds.)

This e-book constitutes the completely refereed post-workshop court cases of the sixth overseas Workshop on activity Scheduling ideas for Parallel Processing, JSSPP 2000, held in Cancun, Mexico in may perhaps 2000 as a satelite assembly of IPDPS 2000.
The 12 revised complete papers provided have been rigorously reviewed in the course of an iterated evaluate procedure and current the cutting-edge within the area.

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1 Experience with a New System One example of the process a major facility must go through in placing a new ultrascale capability into service is demonstrated in Figure 3. In 1997, NERSC at Lawrence Berkeley National Laboratory (LBL) transitioned its primary production computing capability to a massively parallel ultra-scale computer by placing into service a large, early delivery Cray T3E. At the time of introduction, this system was the largest unclassified supercomputer in the US and represented a 20-fold increase in raw computing power to the 2,500 scientists who use NERSC.

Most of the jobs have a low response time (not just most of the jobs, but most of the job weight). Valuation of Ultra-scale Computing Systems Fig. 7. Site B Fig. 8. Site C - C1 is on the top; C2 is on the bottom 51 52 L. H. Smith Fig. 9. Site D But there are high slowdown values at low instantaneous utilization values. The reason for this counterintuitive pattern is that there are a number of job classes that are overlaid in this data. Finally, a yet different phenomenon is observed for Site E. The bubbles appear to have no real pattern.

Are users able to achieve objectives on priority jobs? – Capability: Was enabling capability jobs a reason the platform was purchased in the first place? Can an important task be performed overnight? Can the resources required to accomplish the necessary simulations be reasonably acquired? – Response time: Do the simulations enabled by the resources exhibit a demonstrable decrease in turnaround time, as expected by users? For specific classes of applications or users, is the response time appropriate?

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