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HPCSW Workshop Website

February 27th, 2011

As one of the organizers for the 1st Workshop on High-Performance Computing for the Semantic Web (HPCSW), I had been hosting the HPCSW website from my home directory at RPI. However, the servers on which the home directory was hosted have been suffering from instability in the recent month. Even now, the server has gone down, with the workshop paper submission deadline less than a week away. To solve the problem, I have found a more stable place in our lab to host the website, and the purpose of this brief blog post is to try and improve awareness of this change. I have requested that the ESWC workshop chairs change the link on the ESWC website, and I hope that will happen soon. I apologize for any inconvenience this may have caused and hope that it will not diminish interest in the workshop. (In case of any future problems, I have also created a sort of “backup” version of the website at Google Sites. This version is just to make sure pertinent information about the workshop is always available… or at least as available as Google sites.)

Please feel free to email me if you have any questions. For your convenience, I have included basic information about the workshop below.

Call for Papers

Over the last several years, there has been an increase of research in parallel semantic web data processing (SWDP) in the semantic web community as well as burgeoning interest in the high-performance computing (HPC) community. As specific examples, use of high-performance computing won the 2009 Billion Triple Challenge, and a parallel inference engine won the 2010 IEEE SCALE Challenge. The goal of the High-Performance Computing for the Semantic Web (HPCSW) workshop is to facilitate synergy between the HPC and semantic web communities as well as between academia and industry to further scalability of SWDP.

HPCSW is a full-day workshop that will begin with presentations of technical papers submitted for publication and will end with a discussion among (but not limited to) invited participants. Proceedings will be published online, and a selection of revised papers will be published in a joint Lecture Notes in Computer Science post-proceedings volume. Papers should present work in which HPC in some form (e.g., parallelism, supercomputers, FPGAs, etc.) is employed to improve SWDP (any kind of processing of semantic web data). Broad topics for papers include (but are not limited to):

* Parallelizing SWDP.
* Exploiting HPC architectures for SWDP.
* Employing parallel graph algorithms for SWDP.
* Benchmarks for SWDP from a HPC perspective.

The following questions will guide (but not limit) the discussion:

* How important is it to have high-performant applications for the semantic web?
* What are the boundaries of HPC for SWDP?
* What SWDP lends itself to HPC and/or parallel processing?
* What pre-existing work in HPC can be leveraged for SWDP?
* What are the tradeoffs between commodity HPC and specialized HPC for SWDP? (e.g., MapReduce vs. “hand-coded”, commodity clusters vs. supercomputers)

Important Dates

* Paper Submission Deadline: 4 March 2011 (23:59 Hawaii Time)
* Acceptance Notification: 1 April 2011
* Camera Ready Papers Due: 15 April 2011
* Workshop Day (full day): 29 May 2011

Submission

Papers must be submitted by 23:59 Hawaii Time on Friday, March 4, 2011 at the following address: http://www.easychair.org/conferences/?conf=hpcsw2011.

Position/short papers should not exceed five (5) pages in length, and full papers should not exceed twelve (12) pages in length. All papers must be formatted according to the information for LNCS authors. Papers must be submitted in PDF (Adobe’s Portable Document Format) format. More information about the Springer’s Lecture Notes in Computer Science (LNCS) is available on the Springer LNCS Web site.

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  1. March 4th, 2011 at 04:43 | #1

    The paper submission deadline has been extended to 11 March 2011 (23:59 Hawaii time).

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  2. April 20th, 2011 at 02:48 | #2

    many times, servers instead of “serving” us, they make our life more difficult! :) But we have to live with that!

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  1. March 1st, 2011 at 02:02 | #1