High-Performance Computing

Ann-Marie Mårtensson-Pendrill, Jan 1996

The NSF Supercomputer Centers Program

Several reports studying HPC in the US have been published recently, and are reviewed on a separate page.

Usage Statistics

I am working on analysis of the statistics from these Centres, obtained from the Usage statistics data base, as well as personal e-mail contacts with the various Centers. Excellent presentations of the NCSA statistics are available on-line at http://legba.ncsa.uiuc.edu/.

E.g. you may be amused to know that the total NSF Centre usage during the period Oct-94-Aug 95 (11 months) is quite well approximated by

N(t)= 20 exp(-t/80000) + 100 exp(-t/10000) + 210 exp(-t/1000)

where N(t) is the number of PIs whose use during the period exceeded t service units (1 XMP hour or 1.25 SP2 node hours). This corresponds to about 2.8MSU (=20*80k+100*10k+210*1k), which is about 75% of the total usage during the period. As seen from Fig. E3 in the usage statistics, the academic use corresponds to about 75% of the total usage. The remaining time is distributed over industry using about 5%, research staff at the centres, about 15% and 5% other usage.

From CTC, I received detailed from statistics from on day in december, showing that, although the larges number of jobs was running single-node, these jobs accounted only for a very small fraction, and most resources were used by jobs using 64 or more nodes, as shown in the Figure

Analysis of additional NSF data will be added, as I work through them.

Related Links

Graphical Benchmarks Information Service
PDS Performance Database Server
NSF in a Changing World , NSF Strategic Plan
SUIF
Stanford University Intermediat Format Group - "developing compilers that translate sequential programs into parallel code".
CRPC
Center for Research on Parallel Computation "Compute-Webs", distributed computing, Cluster Computing...
NHSE Reviews
National HPCC Software Exchange
Computational Science Education Resources
A Compilation of WWW Guides

Turnaround Times at a Supercomputing Centre

Ann-Marie Mårtensson-Pendrill, IJSCA-HPC, 9:4, 312-4 (1995)
This paper includes some of my own observations of performance of a supercomputing Centre from a users point of view.

Queuing Theory

Notes on Queueing theory and possible implications for Computer policies

"I keep six honest serving men. They thought me all I knew
Their names are What and Why and When and How and Where and Who"
(Rudyard Kipling, cited by Raj Jain, in The art of computer system performance analysis)


Ann-Marie.Pendrill@fy.chalmers.se