From mickelso at mcs.anl.gov Tue Dec 3 07:22:28 2013
From: mickelso at mcs.anl.gov (Sheri Mickelson)
Date: Tue, 3 Dec 2013 07:22:28 -0600
Subject: [Swift-user] Absolute Path Question
Message-ID: <3034C734-53F3-4777-A5AE-638CA92F4D41@mcs.anl.gov>
I modified the swift "hello world" example to include an absolute path:
=================================
type messagefile;
app (messagefile t) greeting () {
echo "Hello, world!" stdout=@filename(t);
}
message file outfile <"/homes/user/test/my/output/is/here/hello.txt">;
outfile = greeting();
=================================
I noticed that if "/homes/user/test/my/output/is/here/" doesn't exist, the directory is created for you. Is there a Swift option to override this and have the swift code fail if "/homes/user/test/my/out/is/here/" doesn't exist?
Thanks, Sheri
From iraicu at cs.iit.edu Sat Dec 7 13:40:18 2013
From: iraicu at cs.iit.edu (Ioan Raicu)
Date: Sat, 07 Dec 2013 13:40:18 -0600
Subject: [Swift-user] CFP: The 23nd International ACM Symposium on
High-Performance Parallel and Distributed Computing (HPDC) 2014
Message-ID: <52A379A2.9090901@cs.iit.edu>
**** CALL FOR PAPERS ****
The 23nd International ACM Symposium on
High-Performance Parallel and Distributed Computing
(HPDC-2014)
Vancouver, Canada - June 23-27, 2014
http://www.hpdc.org/2014
The ACM International Symposium on High-Performance Parallel and Distributed Computing
(HPDC) is the premier annual conference for presenting the latest research on the
design, implementation, evaluation, and application of parallel and distributed systems
for high-end computing.
In 2014, the 23nd HPDC and affiliated workshops will take place in the beautiful city
of Vancouver, Canada during June 23-27, 2014.
**** IMPORTANT DATES ****
Abstracts Due: January 20, 2014
Papers Due: January 27, 2014 (no extensions)
Author Rebuttal: March 14-18, 2014
Author Notifications: March 28, 2014
**** SCOPE AND TOPICS ****
Submissions are welcomed on high-performance parallel and distributed computing topics
including but not limited to: clouds, clusters, grids, Big Data, massively multicore,
and global-scale computing systems. New scholarly research showing empirical and
reproducible results in architectures, systems, and networks is strongly encouraged,
as are experience reports of operational deployments that can provide insights for
future research on HPDC applications and systems. All papers will be evaluated for
their originality, technical depth and correctness, potential impact, relevance to the
conference, and quality of presentation. Research papers must clearly demonstrate
research contributions and novelty, while experience reports must clearly describe
lessons learned and demonstrate impact.
In the context of high-performance parallel and distributed computing, the topics of
interest include, but are not limited to:
o Systems, networks, and architectures for high-end computing
o Massively multicore systems
o Resource virtualization
o Programming languages and environments
o I/O, storage systems, and data management
o Resource management and scheduling, including energy-aware techniques
o Performance modeling and analysis
o Fault tolerance, reliability, and availability
o Data-intensive computing
o Applications of parallel and distributed computing
**** PAPER SUBMISSION GUIDELINES ****
Authors are invited to submit technical papers of at most 12 pages in PDF format,
including figures and references. Papers should be formatted in the ACM Proceedings
Style (http://www.acm.org/sigs/publications/proceedings-templates) and submitted via the
conference web site. No changes to the margins, spacing, or font sizes as specified by
the style file are allowed. Accepted papers will appear in the conference proceedings,
and will be incorporated into the ACM Digital Library. A limited number of papers will
be accepted as posters.
Papers must be self-contained and provide the technical substance required for the
program committee to evaluate their contributions. Papers should thoughtfully address
all related work, particularly work presented at previous HPDC events. Submitted
papers must be original work that has not appeared in and is not under consideration
for another conference or a journal. See the ACM Prior Publication Policy
(http://www.acm.org/publications/policies/sim_submissions) for more details.
**** HPDC'14 GENERAL CO-CHAIRS ****
Beth Plale, Indiana University
Matei Ripeanu, University of British Columbia
**** HPDC'14 PROGRAM CO-CHAIRS ****
Franck Cappello, Argonne National Lab and INRIA
Dongyan Xu, Purdue University
**** HPDC'14 PUBLICITY CHAIR ****
Ioan Raicu, Illinois Institute of Technology, USA
**** HPDC'14 PROGRAM COMMITTEE ****
David Abramson, University of Queensland, Australia
Gabriel Antoniu, INRIA, France
Henri Bal, Vrije Universiteit, the Netherlands
Adam Barker, University of St Andrews, UK
Michela Becchi, University of Missouri - Columbia, USA
Greg Bronevetsky, Lawrence Livermore National Laboratory, USA
Ali Butt, Virginia Tech, USA
Abhishek Chandra, University of Minnesota, USA
Andrew Chien, University of Chicago and Argonne National Laboratory, USA
Paolo Costa, Microsoft Research Cambridge, UK
Dilma Da Silva, Qualcomm Research Silicon Valley, USA
Peter Dinda, Northwestern University, USA
Dick Epema, Delft and Eindhoven University of Technology, the Netherlands
Gilles Fedak, INRIA, France
Wu-chun Feng, Virginia Tech, USA
Renato Figueiredo, University of Florida, USA
Ian Foster, University of Chicago and Argonne National Laboratory, USA
Kartik Gopalan, Binghamton University, USA
Haryadi Gunawi, University of Chicago, USA
Bingsheng He, Nanyang Technological University, Singapore
Alexandru Iosup, Delft University of Technology, the Netherlands
Shantenu Jha, Rutgers University, USA
Hai Jin Huazhong, University of Science and Technology, China
Larry Kaplan, Cray, Inc., USA
Kate Keahey, Argonne National Laboratory, USA
Thilo Kielmann, Vrije Universiteit, the Netherlands
Charles Killian, Google, USA
Zhiling Lan, Illinois Institute of Technology, USA
John (Jack) Lange, University of Pittsburgh, USA
Minglu Li, Shanghai Jiaotong University, China
Barney Maccabe, Oak Ridge National Laboratory, USA
Naoya Maruyama, RIKEN Advanced Institute for Computational Science, Japan
Satoshi Matsuoka, Tokyo Institute of Technology, Japan
Dejan Milojicic, HP Labs, USA
Bogdan Nicolae, IBM Research, Ireland
Sangmi Pallickara, Colorado State University, USA
Manish Parashar, Rutgers University, USA
Ioan Raicu, Illinois Institute of Technology, USA
Prasenjit Sarkar, IBM Research, USA
Daniele Scarpazza, D.E. Shaw Research, USA
Karsten Schwan, Georgia Institute of Technology, USA
Martin Swany, Indiana University, USA
Michela Taufer, University of Delaware, USA
Kenjiro Taura, University of Tokyo, Japan
Douglas Thain, University of Notre Dame, USA
Bhuvan Urgaonkar, Pennsylvania State University, USA
Mustafa Uysal, VMware, Inc., USA
Jon Weissman, University of Minnesota, USA
Ming Zhao, Florida International University, USA
**** HPDC STEERING COMMITTEE ****
Henri Bal, Vrije Universiteit
Andrew A. Chien, University of Chicago
Peter Dinda, Northwestern University
Dick Epema, Delft University of Technology
Renato Figueiredo, University of Florida
Ian Foster, Univ. of Chicago and Argonne National Laboratory
Salim Hariri, University of Arizona
Thilo Kielmann, Vrije Universiteit Amsterdam
Arthur "Barney" Maccabe, Oak Ridge National Laboratory
Manish Parashar, Rutgers University
Matei Ripeanu, University of British Columbia
Karsten Schwan, Georgia Tech
Doug Thain, University of Notre Dame
Jon Weissman, University of Minnesota (Chair)
--
=================================================================
Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
=================================================================
Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
=================================================================
Editor: IEEE TCC, Springer Cluster, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud
=================================================================
Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: iraicu at cs.iit.edu
Web: http://www.cs.iit.edu/~iraicu/
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioanraicu
Google: http://scholar.google.com/citations?user=jE73HYAAAAAJ
=================================================================
=================================================================
From iraicu at cs.iit.edu Sat Dec 7 13:47:11 2013
From: iraicu at cs.iit.edu (Ioan Raicu)
Date: Sat, 07 Dec 2013 13:47:11 -0600
Subject: [Swift-user] Call for Workshops: ACM HPDC 2014 -- Proposals due
December 9th, 2013
Message-ID: <52A37B3F.1010004@cs.iit.edu>
The organizers of the /23rd International ACM Symposium on
High-Performance Parallel and Distributed Computing/ (HPDC'14) *call for
proposals for workshops* to be held with HPDC'14. The workshops will be
held on June 23-27, 2014.
Workshops should provide forums for discussion among researchers and
practitioners on focused topics or emerging research areas relevant to
the HPDC community. Organizers may structure workshops as they see fit,
including invited talks, panel discussions, presentations of work in
progress, fully peer-reviewed papers, or some combination. Workshops
could be scheduled for half a day or a full day, depending on interest,
space constraints, and organizer preference. Organizers should design
workshops for approximately 20-40 participants, to balance impact and
effective discussion.
*Workshop proposal* will be uploaded in PDF format to the submission
site by the deadline, and
should include:
* The name and acronym of the workshop
* A description (0.5-1 page) of the theme of the workshop
* A description (one paragraph) of the relation between the theme of
the workshop and of HPDC
* A list of topics of interest
* The names and affiliations of the workshop organizers, and if
applicable, of a significant portion of the program committee
* A description of the expected structure of the workshop (papers,
invited talks, panel discussions, etc.)
* Data about previous offerings of the workshop (if any), including
the attendance, the numbers of papers or presentations submitted and
accepted, and the links to the corresponding websites
* A publicity plan for attracting submissions and attendees. Please
also include expected number of submissions, accepted papers, and
attendees that you anticipate for a successful workshop.
Due to publication deadlines, workshops must operate within roughly the
following timeline: papers due mid February (2-3 weeks after the HPDC
deadline), and selected and sent to the publisher by mid April.
Workshop Chair:
Martin Swany, Indiana University, USA
*
Questions: * For any questions regarding your submission, please contact
the workshop chair at:
hpdc-workshop-l [at] list [dot] indiana [dot] edu
Important dates:
*Workshop Proposals Due: * *December 9, 2013*
Notifications: December 20, 2014
Workshop CFPs Online and Distributed: January 13, 2014
--
=================================================================
Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
=================================================================
Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
=================================================================
Editor: IEEE TCC, Springer Cluster, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud
=================================================================
Cel: 1-847-722-0876
Office: 1-312-567-5704
Email: iraicu at cs.iit.edu
Web: http://www.cs.iit.edu/~iraicu/
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioanraicu
Google: http://scholar.google.com/citations?user=jE73HYAAAAAJ
=================================================================
=================================================================
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From marialemos72 at gmail.com Fri Dec 13 19:11:38 2013
From: marialemos72 at gmail.com (WorldCIST)
Date: Sat, 14 Dec 2013 01:11:38 +0000
Subject: [Swift-user] Last Call - 2sd World Conference on IST;
Submission: December 29
Message-ID: <20131214011151.781DD7CC0A4@mailrelay.anl.gov>
============================================================================
2sd World Conference on Information Systems and Technologies - WorldCIST'14
April 15-18, 2014, Madeira Island, Portugal
http://www.aisti.eu/worldcist14/
================================
Submission deadline: December 29
* Proceedings published by Springer.
** Papers submitted for indexation by ISI, SCOPUS, DBLP, etc.
*** Extended versions of best papers published in ISI/SCI/SSCI/JCR journals.
Regards,
Maria Lemos
WorldCIST'14
http://www.aisti.eu/worldcist14/
From madduri at mcs.anl.gov Wed Dec 18 16:26:58 2013
From: madduri at mcs.anl.gov (Ravi K Madduri)
Date: Wed, 18 Dec 2013 16:26:58 -0600
Subject: [Swift-user] Swift log parser
Message-ID: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
Hi
I wonder if you guys have any scripts that help me parse swift logs and provide me with information about how many jobs launched, how long they ran etc.
Thanks
--
Ravi K Madduri
MCS, Argonne National Laboratory
Computation Institute, University of Chicago
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From davidk at ci.uchicago.edu Wed Dec 18 16:58:05 2013
From: davidk at ci.uchicago.edu (David Kelly)
Date: Wed, 18 Dec 2013 16:58:05 -0600
Subject: [Swift-user] Swift log parser
In-Reply-To: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
References: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
Message-ID:
Hey Ravi,
Which version of Swift are you using? I just wrote something like this
yesterday that parses a Swift log and prints information about jobs in a
clear format (start time, stop time, files staged in and out, etc). But it
was written for 0.95 log files.. not sure it will work with 0.94 or older
logs.
There are other scripts available to get generate of # of active tasks and
# of tasks completed if that would be helpful?
On Wed, Dec 18, 2013 at 4:26 PM, Ravi K Madduri wrote:
> Hi
> I wonder if you guys have any scripts that help me parse swift logs and
> provide me with information about how many jobs launched, how long they ran
> etc.
>
> Thanks
> --
> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
>
>
> _______________________________________________
> Swift-user mailing list
> Swift-user at ci.uchicago.edu
> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
>
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From madduri at mcs.anl.gov Wed Dec 18 17:40:00 2013
From: madduri at mcs.anl.gov (Ravi K Madduri)
Date: Wed, 18 Dec 2013 17:40:00 -0600
Subject: [Swift-user] Swift log parser
In-Reply-To:
References: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
Message-ID: <4B59F22F-335E-43DA-B6F0-2149D27AE6D6@mcs.anl.gov>
David
This is the swift version on cox globus genomics instance:
madduri at cox2:/nfs/software/galaxy/tools$ sudo /mnt/galaxyTools/tools/swift/swift-trunk/bin/swift -version
Swift trunk swift-r6209 (swift modified locally) cog-r3574 (cog modified locally)
I am just trying to get some aggregate details on the number of jobs run and how long they took, number of nodes spawned etc.
On Dec 18, 2013, at 4:58 PM, David Kelly wrote:
> Hey Ravi,
>
> Which version of Swift are you using? I just wrote something like this yesterday that parses a Swift log and prints information about jobs in a clear format (start time, stop time, files staged in and out, etc). But it was written for 0.95 log files.. not sure it will work with 0.94 or older logs.
>
> There are other scripts available to get generate of # of active tasks and # of tasks completed if that would be helpful?
>
>
> On Wed, Dec 18, 2013 at 4:26 PM, Ravi K Madduri wrote:
> Hi
> I wonder if you guys have any scripts that help me parse swift logs and provide me with information about how many jobs launched, how long they ran etc.
>
> Thanks
> --
> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
>
>
> _______________________________________________
> Swift-user mailing list
> Swift-user at ci.uchicago.edu
> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
>
--
Ravi K Madduri
MCS, Argonne National Laboratory
Computation Institute, University of Chicago
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From davidk at ci.uchicago.edu Thu Dec 19 09:41:17 2013
From: davidk at ci.uchicago.edu (David Kelly)
Date: Thu, 19 Dec 2013 09:41:17 -0600
Subject: [Swift-user] Swift log parser
In-Reply-To: <4B59F22F-335E-43DA-B6F0-2149D27AE6D6@mcs.anl.gov>
References: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
<4B59F22F-335E-43DA-B6F0-2149D27AE6D6@mcs.anl.gov>
Message-ID:
Hey Ravi, Lorenzo,
I modified the script so it should work now with logs generated by 0.94.
You can run the attached script as:
$ ./swiftlog /path/to/
A version of this will be included with 0.95 when it's released, I'll send
some more details about that soon.
Hope this is helpful - let me know if you run into any problems.
On Wed, Dec 18, 2013 at 5:40 PM, Ravi K Madduri wrote:
> David
> This is the swift version on cox globus genomics instance:
>
> madduri at cox2:/nfs/software/galaxy/tools$ sudo
> /mnt/galaxyTools/tools/swift/swift-trunk/bin/swift -version
> Swift trunk swift-r6209 (swift modified locally) cog-r3574 (cog modified
> locally)
>
> I am just trying to get some aggregate details on the number of jobs run
> and how long they took, number of nodes spawned etc.
>
>
> On Dec 18, 2013, at 4:58 PM, David Kelly wrote:
>
> Hey Ravi,
>
> Which version of Swift are you using? I just wrote something like this
> yesterday that parses a Swift log and prints information about jobs in a
> clear format (start time, stop time, files staged in and out, etc). But it
> was written for 0.95 log files.. not sure it will work with 0.94 or older
> logs.
>
> There are other scripts available to get generate of # of active tasks and
> # of tasks completed if that would be helpful?
>
>
> On Wed, Dec 18, 2013 at 4:26 PM, Ravi K Madduri wrote:
>
>> Hi
>> I wonder if you guys have any scripts that help me parse swift logs and
>> provide me with information about how many jobs launched, how long they ran
>> etc.
>>
>> Thanks
>> --
>> Ravi K Madduri
>> MCS, Argonne National Laboratory
>> Computation Institute, University of Chicago
>>
>>
>> _______________________________________________
>> Swift-user mailing list
>> Swift-user at ci.uchicago.edu
>> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
>>
>
>
> --
> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
>
>
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From ketan at mcs.anl.gov Thu Dec 19 14:55:10 2013
From: ketan at mcs.anl.gov (Ketan Maheshwari)
Date: Thu, 19 Dec 2013 14:55:10 -0600
Subject: [Swift-user] Swift log parser
In-Reply-To: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
References: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
Message-ID:
Hi Ravi,
As we discussed, please find a plotting script I wrote a while ago. It is
tested on linux platform and uses gnuplot to plot from the swift run log.
To run, do:
$ plotswiftlogs.ketan
It should produce two plots as png files which are active and cumulative
tasks plots over the duration of Swift run. Please note that since the plot
uses the standard Swift progress log, the accuracy might be off by a second
or two. We are currently working on a high fidelity plotting routine for
Swift runs.
Best,
Ketan
On Wed, Dec 18, 2013 at 4:26 PM, Ravi K Madduri wrote:
> Hi
> I wonder if you guys have any scripts that help me parse swift logs and
> provide me with information about how many jobs launched, how long they ran
> etc.
>
> Thanks
> --
> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
>
>
> _______________________________________________
> Swift-user mailing list
> Swift-user at ci.uchicago.edu
> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
>
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From madduri at mcs.anl.gov Thu Dec 19 15:00:33 2013
From: madduri at mcs.anl.gov (Ravi K Madduri)
Date: Thu, 19 Dec 2013 15:00:33 -0600
Subject: [Swift-user] Swift log parser
In-Reply-To:
References: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
Message-ID:
When I run it, I get a png thats 0bytes in size.
On Dec 19, 2013, at 2:55 PM, Ketan Maheshwari wrote:
> Hi Ravi,
>
> As we discussed, please find a plotting script I wrote a while ago. It is tested on linux platform and uses gnuplot to plot from the swift run log.
>
> To run, do:
>
> $ plotswiftlogs.ketan
>
> It should produce two plots as png files which are active and cumulative tasks plots over the duration of Swift run. Please note that since the plot uses the standard Swift progress log, the accuracy might be off by a second or two. We are currently working on a high fidelity plotting routine for Swift runs.
>
> Best,
> Ketan
>
>
> On Wed, Dec 18, 2013 at 4:26 PM, Ravi K Madduri wrote:
> Hi
> I wonder if you guys have any scripts that help me parse swift logs and provide me with information about how many jobs launched, how long they ran etc.
>
> Thanks
> --
> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
>
>
> _______________________________________________
> Swift-user mailing list
> Swift-user at ci.uchicago.edu
> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
>
>
--
Ravi K Madduri
MCS, Argonne National Laboratory
Computation Institute, University of Chicago
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From madduri at mcs.anl.gov Thu Dec 19 15:33:17 2013
From: madduri at mcs.anl.gov (Ravi K Madduri)
Date: Thu, 19 Dec 2013 15:33:17 -0600
Subject: [Swift-user] Swift log parser
In-Reply-To:
References: <9734F12B-D4D6-41C7-924B-BB58B0025B34@mcs.anl.gov>
Message-ID:
Ketan helped me with this and it works now. Find attached the plots we were able to generate
On Dec 19, 2013, at 3:00 PM, Ravi K Madduri wrote:
> When I run it, I get a png thats 0bytes in size.
> On Dec 19, 2013, at 2:55 PM, Ketan Maheshwari wrote:
>
>> Hi Ravi,
>>
>> As we discussed, please find a plotting script I wrote a while ago. It is tested on linux platform and uses gnuplot to plot from the swift run log.
>>
>> To run, do:
>>
>> $ plotswiftlogs.ketan
>>
>> It should produce two plots as png files which are active and cumulative tasks plots over the duration of Swift run. Please note that since the plot uses the standard Swift progress log, the accuracy might be off by a second or two. We are currently working on a high fidelity plotting routine for Swift runs.
>>
>> Best,
>> Ketan
>>
>>
>> On Wed, Dec 18, 2013 at 4:26 PM, Ravi K Madduri wrote:
>> Hi
>> I wonder if you guys have any scripts that help me parse swift logs and provide me with information about how many jobs launched, how long they ran etc.
>>
>> Thanks
>> --
>> Ravi K Madduri
>> MCS, Argonne National Laboratory
>> Computation Institute, University of Chicago
>>
>>
>> _______________________________________________
>> Swift-user mailing list
>> Swift-user at ci.uchicago.edu
>> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
>>
>>
>
> --
> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
>
> _______________________________________________
> Swift-user mailing list
> Swift-user at ci.uchicago.edu
> https://lists.ci.uchicago.edu/cgi-bin/mailman/listinfo/swift-user
--
Ravi K Madduri
MCS, Argonne National Laboratory
Computation Institute, University of Chicago
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