Title: Condor-G - Your Window to the Grid
1Condor-G -Your Window to the Grid
2The 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,
- daily maintenance and support challenges of a
distributed production environment, - and educating and training students.
- Funding - NSF, NASA,DoE, DoD, IBM, INTEL,
Microsoft and the UW Graduate School - .
3National Grid Efforts
- National Technology Grid - NCSA Alliance
(NSF-PACI) - Information Power Grid (NASA)
- Particle Physics Data Grid (DoE)
- Grid Physics Network (NSF-ITR)
4Driving Concepts
5- 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.
6Every Communityneeds a Matchmaker!
7Why? 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
8High 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.
9HW is a Commodity
- Raw computing power is everywhere - on desk-tops,
shelves, and racks. It is - cheap
- dynamic,
- distributively owned,
- heterogeneous and
- evolving.
10Master-Worker (MW) computing is common and
Naturally Parallel.It is by no means
Embarrassingly Parallel. Doing it right is by no
means trivial.
11The Tool
12Our Answer to High Throughput MW Computing on
commodity resources
13The 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.
- Fully integrated NT version is available.
- Deployed world-wide by academia and industry.
- More than 1300 CPUs at the U of Wisconsin.
- Available at www.cs.wisc.edu/condor.
14Condor CPUs on the UW Campus
15Some NumbersUW-CS Pool
- Total since 6/98 4,000,000 hours 450 years
- 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
- Engine Research Center 38,000 hours
- Math 90,000 hours
- Civil Engineering 27,000 hours
- Business 970 hours
- External Users 165,000 hours 19 years
- MIT 76,000 hours
- Cornell 38,000 hours
- UCSD 38,000 hours
- CalTech 18,000 hours
16I have a job parallel MW application with 600
workers. How can I benefit from Condor?
17The Application
- Study the behavior of F(x,y,z) for 20 values of
x, 10 values of y and 3 values of z (20103
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
18Step I - get organized!
- 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)
19A Condor Job-Parallel Submit File
- executable worker
- requirement ((OS Linux2.2) Memory gt
128)) - rank KFlops
- initialdir worker_dir.(process)
- input in
- output out
- error err
- log log
- queue 600
20Your 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
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22Condor Layers
Application
Application Agent
Customer Agent
Environment Agent
Owner Agent
Local Resource Management
Resource
23Step II - build your personal Grid
- 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 ...
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25Step III - Take advantage of your friends
- Get permission from friendly Condor pools to
access their resources - Configure your personal Condor to flock to
these pools - reconsider your vacation plans ...
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27Think big. Go to the Grid
28Condor-G
- 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 GSIFTP to move glide-in software
- Uses MDS for submit information
29Condor-glide-in
- 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
- Robust
- Supports SMPs
30X509 Certificates
- We are in the process of adding X509 based
authentication capabilities to Condor services. - Job submission
- Local file access
- Access to Condor-glide-in software
- Resource authentication
31GSIFTP
- Enable Condor I/O services to use remote GSIFTP
servers. - Move glide-in tar files
- Read executables
- Move Data from/to data repositories
- Access disk caches
32Grid 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.
33Step IV - Think big (Grid)!
- 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 ...
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35Does it work?
36An 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.
37NUG30 Personal Condor
- For the run we will be flocking to
- -- the main Condor pool at Wisconsin (600
processors) - -- 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.
38It works!!!
- Date Thu, 8 Jun 2000 224100 -0500 (CDT) From
Jeff Linderoth ltlinderot_at_mcs.anl.govgt To Miron
Livny ltmiron_at_cs.wisc.edugt 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 114111 -0500 (CDT) From
Jeff Linderoth ltlinderot_at_mcs.anl.govgt - Still rolling along. Over three billion nodes in
about 1 day!
39Up to a Point
- Date Fri, 9 Jun 2000 143511 -0500 (CDT) From
Jeff Linderoth ltlinderot_at_mcs.anl.govgt 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.
40Back in Business
- Date Fri, 9 Jun 2000 185559 -0500 (CDT) From
Jeff Linderoth ltlinderot_at_mcs.anl.govgt - 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.
41The First 600K seconds
42The First 35K seconds
43We made it!!!
- Sender goux_at_dantec.ece.nwu.edu Subject Re Let
the festivities begin. - 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 !
- cheers,
- JP.
44Do not be picky, be agile!!!