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AstroGPU 2007
http://www.astrogpu.org
Graphical Processing Units (GPUs) are rapidly emerging as a powerful an cost-effective platform for high performance parallel computing. The current generation of GPUs sports capabilities in TFLOP range, already an order of magnitude more than top of the line x86 CPUs. Assuming the current trend of GPU power growth continues (doubling every 6 months, compared to 18 for ordinary CPUs), this difference will only further increase in years to come.\n\nSuch increase in computational power opens up opportunities to explore previously inaccessible problems in astronomy and astrophysics. However, it also brings the challenges of adapting existing, and devising new algorithms and codes that will run efficiently on intrinsically massively parallel GPU architectures.
!!Contact\n[[Mario Juric|http://www.sns.ias.edu/~mjuric]], (E-mail: mjuric --at-- ias --dot-- edu)\nInstitute for Advanced Study,\n1 Einstein Drive,\nPrinceton, NJ 08540\nUSA\n\n!!Organizing Committee\n* Mario Juric (IAS, chair)\n* Eric B. Ford (Harvard, UF)\n* Piet Hut (IAS)\n
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\nWorkshop on General Purpose Computation on Graphics Processing Units in Astronomy and Astrophysics\nInstitute for Advanced Study, Princeton, NJ, USA\nNovember 9-10, 2007\n\n
July 22nd: [[Preregistration]] is now open.
[[About]]\n[[Preregistration]]\n[[Speakers]]\n[[Program]]\n[[Location]]\n[[Support]]\n[[Organizers]]\n
We may be able to provide some assistance to junior participants and participants coming from outside of the US. If you need assistance to attend the workshop, please send us a request by email (to mjuric --at -- ias --dot-- edu), with details about your needs and a brief justification.
*[[Bill Dorland|http://gk.umd.edu/]], Maryland (C)\n*[[Kevin Dale|http://www.cs.virginia.edu/~ktd3q/]], Initiative in Innovative Computing @ Harvard (C)\n*[[Tsuyoshi Hamada|http://progrape.jp/cs/]], RIKEN Japan (C)\n*[[Mark Harris|http://developer.nvidia.com/object/cuda.html]], NVIDIA Corp. (C)\n*[[David Luebke|http://developer.nvidia.com/object/cuda.html]], NVIDIA Corp. (C)\n*[[Robert Lupton|http://www.astro.princeton.edu/~rhl/]], SDSS,ACT,LSST (C)\n*[[Jun Makino|http://grape.c.u-tokyo.ac.jp/~makino/index-e.html]], Tokyo (C)\n*[[Simon Portegies Zwart|http://staff.science.uva.nl/~spz/]], Amsterdam (C)\n*[[James Stone|http://www.astro.princeton.edu/~jstone/index.html]], Princeton (C)\n\n(C) == Confirmed\n\nThe list of speakers will be updated and expanded as we receive confirmations from the invited speakers.\n\nDue to time constraints, we do not plan for contributed oral presentations. Participants are however encouraged to contribute poster papers. There will be no proceedings.\n
On-line registration: November 1st 2007\nHotel reservation: October 26th 2007\n
The closest major airport serving Princeton area is Newark Liberty International in Newark, NJ (approx. ~1 hour away). If possible, we suggest you book your flights to Newark.\n\nOther major airports serving Princeton include JFK and La Guardia in New York, and the Philadelphia airport in Philadelphia. These are 2.5-4 hours away by car, train or shuttle bus, depending on the traffic and time of day.\n\nDirections to the Institute: http://www.ias.edu/about/directions/\n
''[October 16th] Update: Hyatt Place has been fully booked.'' We been able to reserve an additional block of 10 rooms in the adjacent [[Residence Inn Princeton|http://www.mariott.com/ttnww]] at the rate of $149/night. These are nominally single rooms (one queen sized bed), but they all come with an extendable sleeper sofa and can accommodate two. There are also some double rooms available at $189/night. Complimentary transportation to the Institute from Residence Inn will be provided. To reserve, call the Residence Inn ''as soon as possible'' at +1 609 799 0550 and mention the code "IAS-ASTRO GPU".\n\nThere are also [[many other nearby hotels|http://maps.google.com/maps?hl=en&ie=UTF8&q=hotels&near=Princeton,+NJ&fb=1&view=map&cd=1&ll=40.336927,-74.652529&spn=0.037619,0.061884&z=14&om=1]] from which the transportation to the Institute will not be provided by the organizers. Some of these (e.g., the Nassau Inn) are within walking distance (~20-30 minutes), while for others you will need to use a taxi or rent a car to reach the Institute.\n\n------\n\nA block of rooms has been reserved at the [[Hyatt Place Princeton|http://princeton.place.hyatt.com/]] hotel, at a special rate of $129/night for a single or a double room. ''As we will organize complimentary transportation from the hotel to the Institute, we ask you to stay at the Hyatt if at all possible.''\n\nThe deadline for reservations at these rates is October 26th. Note that some rooms have an extendable sleeper sofa, and can accommodate three, if requested. The Hyatt Place Princeton is located 1 mile from the Institute for Advanced Study, adjacent to Market Fair Mall. The hotel features free wireless internet access, complimentary breakfast, and business and fitness centers.\n\nTo reserve a room, call Hyatt Place directly at +1-888-492-8847 and mention the group name "AstroGPU". Unfortunately, ''group rates are _NOT_ available online on hyatt.com;'' to obtain the group rates you ''must'' reserve your room by calling the aforementioned phone number.\n
Registration is now closed.\n\n[[List of registered participants|participants.php]]\n
Click [[here to view the final program|http://www.astrogpu.org/program.php]].
\n''Update: For latest local information, please see the [[Final Announcement e-mail|local.txt]]''\n\nBloomberg Hall,\nSchool of Natural Sciences,\nInstitute for Advanced Study,\nPrinceton, NJ, USA\n\nThe Institute for Advanced Study is located in Princeton Township in central New Jersey. The Institute is approximately 2km from the center of the town of Princeton and is easily accessible by car, train, or taxi from major cities along the Eastern seaboard. Major airports serving Princeton include New York metropolitan area airports -- Newark (1 hour by train or car), JFK or La Guardia (2-3 hours), and Philadelphia airport (2-3 hours).\n\nAbout the Institute: http://www.ias.edu/about/\nSchool of Natural Sciences: http://www.sns.ias.edu\n
Graphics processing unit (GPUs) are rapidly emerging as a powerful and cost-effective platform for high performance parallel computing. The current generation of GPUs sports capabilities in TFLOP range, already an order of magnitude greater than most powerful x86 CPUs.\n\nSuch an increase in computational power opens opportunities to explore previously inaccessible problems in astronomy and astrophysics. However, it also brings the challenges of adapting existing algorithms and codes (and devising new ones) to run efficiently on intrinsically massively parallel SIMD/SPMD GPU architectures.\n\nThe goal of this workshop is to explore and discuss the applicability of GPUs to astrophysical problems. It will bring together astrophysicists, colleagues from other areas of science where GPGPU techniques have been successfully applied, and representatives from the industry who will demonstrate in tutorial sessions the GPU hardware, programming tools, and GPGPU techniques. \n\nSee also: AstroGPU 2007, [[First Announcement|ann1.txt]], [[Second Announcement|ann2.txt]], [[Important Hotel and Registration Update|update2.txt]], [[Final Announcement (Local Information)|local.txt]]\n
[[Post-workshop News]]\nAbout\nProgram\nLocation\nRegistration\nAccommodation\n[[Travel to Princeton]]\nOrganizers\n
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[2008-02-14] The videos are [[now available|videos.php]].\n\n[2007-12-25] The slides from most of the AstroGPU talks have been posted [[here|videos.php]]. The videos of the talks will follow shortly.\n\n[2007-12-25] The group photo has been posted: [[medium size version|astrogpu-groupphoto-medium.jpg]], [[large version|astrogpu-groupphoto-large.jpg]].\n\n[2007-11-12] Thanks to everyone, both speakers and the attendees, for participating in the workshop!