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Miron Livny Computer Sciences Department University of Wisconsin-Madison [email protected] http://www.cs.wisc.edu/~miron Condor-G - Your Window to the Grid

Condor-G - Your Window to the Grid

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Condor-G - Your Window to the Grid. The Condor Project (Established ‘85). Distributed systems CS research performed by a team that faces software engineering challenges in a UNIX/Linux/NT environment, active interaction with users and collaborators, - PowerPoint PPT Presentation

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Condor - A Project and a SystemCondor-G -
Distributed systems CS research performed by a team that faces
software engineering challenges in a UNIX/Linux/NT environment,
active interaction with users and collaborators,
daily maintenance and support challenges of a distributed production environment,
and educating and training students.
Information Power Grid (NASA)
Grid Physics Network (NSF-ITR)
“ … Since the early days of mankind the primary motivation for the establishment of communities has been the idea that by being part of an organized group the capabilities of an individual are improved. The great progress in the area of inter-computer communication led to the development of means by which stand-alone processing sub-systems can be integrated into multi-computer ‘communities’. … “
Miron Livny, “ Study of Load Balancing Algorithms for Decentralized Distributed Processing Systems.”,
Ph.D thesis, July 1983.
Why? Because ...
.. someone has to bring together members of the community who have requests for goods and services with members who offer them.
Both sides are looking for each other
Both sides have constraints
Both sides have preferences
High Throughput Computing
For many experimental scientists, scientific progress and quality of research are strongly linked to computing throughput. In other words, they are less concerned about instantaneous computing power. Instead, what matters to them is the amount of computing they can harness over a month or a year --- they measure computing power in units of scenarios per day, wind patterns per week, instructions sets per month, or crystal configurations per year.
HW is a Commodity
Raw computing power is everywhere - on desk-tops, shelves, and racks. It is
Naturally Parallel.
Doing it right is by no means trivial.
The Condor System
A High Throughput Computing system that supports large dynamic MW applications on large collections of distributively owned resources developed, maintained and supported by the Condor Team at the University of Wisconsin - Madison since ‘86.
Originally developed for UNIX workstations
Based on matchmaking technology.
More than 1300 CPUs at the U of Wisconsin.
Available at www.cs.wisc.edu/condor.
“Real” Users 1,700,000 hours ~260 years
CS-Optimization 610,000 hours
CS-Architecture 350,000 hours
Physics 245,000 hours
Statistics 80,000 hours
Math 90,000 hours
MIT 76,000 hours
Cornell 38,000 hours
UCSD 38,000 hours
CalTech 18,000 hours
600 workers.
The Application …
Study the behavior of F(x,y,z) for 20 values of x, 10 values of y and 3 values of z (20*10*3 = 600)
F takes on the average 3 hours to compute on a “typical” workstation (total = 1800 hours)
F requires a “moderate” (128MB) amount of memory
F performs “little” I/O - (x,y,z) is 15 MB and F(x,y,z) is 40 MB
Turn your workstation into a “Personal Condor”
Write a script that creates 600 input files for each of the (x,y,z) combinations
Submit a cluster of 600 jobs to your personal Condor
Write a script that collects the data from the 600 output files
Go on a long vacation … (2.5 months)
rank = KFlops
initialdir = worker_dir.$(process)
input = in
output = out
error = err
log = log
queue 600
Your Personal Condor will ...
... keep an eye on your jobs and will keep you posted on their progress
... implement your policy on when the jobs can run on your workstation
... implement your policy on the execution order of the jobs
.. add fault tolerance to your jobs
… keep a log of your job activities
Install Condor on the desk-top machine next door.
Install Condor on the machines in the class room.
Install Condor on the O2K in the basement.
Configure these machines to be part of your Condor pool.
Go on a shorter vacation ...
Get permission from “friendly” Condor pools to access their resources
Configure your personal Condor to “flock” to these pools
reconsider your vacation plans ...
A Grid enabled version of Condor that uses the inter-domain services of Globus to bring Grid resources into the domain of your Personal-Condor
Supports Grid Universe jobs
Uses MDS for submit information
Enable an application to dynamically turn allocated grid resources into members of a Condor pool for the duration of the allocation.
Easy to use on different platforms
X509 Certificates
We are in the process of adding X509 based authentication capabilities to Condor services.
Job submission
Move glide-in tar files
Access disk caches
Grid Universe
Grid Universe jobs submitted to Condor are transformed in the Globus jobs and submitted (via GlobusRun) to a grid resource.
Use MDS to locate resource
Monitor status of job on remote resource
Report status via Condor services
Rewrite in progress with new Globus library.
Get access (account(s) + certificate(s)) to a “Computational” Grid
Submit 599 “Grid Universe” Condor- glide-in jobs to your personal Condor
Take the rest of the afternoon off ...
An example - NUG28
We are pleased to announce the exact solution of the nug28 quadratic assignment problem (QAP). This problem was derived from the well known nug30 problem using the distance matrix from a 4 by 7 grid, and the flow matrix from nug30 with the last 2 facilities deleted. This is to our knowledge the largest instance from the nugxx series ever provably solved to optimality.
The problem was solved using the branch-and-bound algorithm described in the paper "Solving quadratic assignment problems using convex quadratic programming relaxations," N.W. Brixius and K.M. Anstreicher. The computation was performed on a pool of workstations using the Condor high-throughput computing system in a total wall time of approximately 4 days, 8 hours. During this time the number of active worker machines averaged approximately 200. Machines from UW, UNM and (INFN) all participated in the computation.
-- the Condor pool at Georgia Tech (190 Linux boxes)
-- the Condor pool at UNM (40 processors)
-- the Condor pool at Columbia (16 processors)
-- the Condor pool at Northwestern (12 processors)
-- the Condor pool at NCSA (65 processors)
-- the Condor pool at INFN (200 processors)
We will be using glide_in to access the Origin 2000 (through LSF ) at NCSA.
We will use "hobble_in" to access the Chiba City Linux cluster and Origin
2000 here at Argonne.
From: Jeff Linderoth <[email protected]>
To: Miron Livny <[email protected]>
Subject: Re: Priority
This has been a great day for metacomputing! Everything is going wonderfully. We've had over 900 machines (currently around 890), and all the pieces are working great…
Date: Fri, 9 Jun 2000 11:41:11 -0500 (CDT)
From: Jeff Linderoth <[email protected]>
Still rolling along. Over three billion nodes in about 1 day!
From: Jeff Linderoth <[email protected]>
Hi Gang,
The glory days of metacomputing are over. Our job just crashed. I watched it happen right before my very eyes. It was what I was afraid of -- they just shut down denali, and losing all of those machines at once caused other connections to time out -- and the snowball effect had bad repercussions for the Schedd.
From: Jeff Linderoth <[email protected]>
Hi Gang,
We are back up and running. And, yes, it took me all afternoon to get it going again. There was a (brand new) bug in the QAP "read checkpoint" information that was making the master coredump. (Only with optimization level -O4). I was nearly reduced to tears, but with some supportive words from Jean-Pierre, I made it through.
Hi dear Condor Team,
you all have been amazing. NUG30 required 10.9 years of Condor Time. In just seven days !
More stats tomorrow !!! We are off celebrating !
condor rules !