Using HOOMD-blue for Polymer Simulations and Big Systems hosted by VSCSE (Virtual School), 1/21/14, 12-1:30pm
Introduction to HOOMD-blue- hosted by VSCSE (Virtual School), 12/10/13, 12-1:30pm
Introduction to SeqAn, an Open-source C++ Template Library, 10/22, 12-1pm EDT/9-10a PDT
SeqAn (www.seqan.de) is an open-source C++ template library (BSD license) that implements many efficient and generic data structures and algorithms for Next-Generation Sequencing (NGS) analysis. It contains gapped k-mer indices, enhanced suffix arrays (ESA) or an FM-index, as well algorithms for fast and accurate alignment or read mapping. Based on those data types and fast I/O routines, users can easily develop tools that are extremely efficient and easy to maintain. Besides multi-core, the research team at Freie Universität Berlin has started generic support for distinguished accelerators such as NVIDIA GPUs.
In this webinar, Knut Reinert, Professor, Freie Universität Berlin will introduce SeqAn and string indices, then explain his team’s generic parallelization concept and end with details on how they achieved an up to 47 speedup using an FM-index on a NVIDIA Tesla K20.
Please note that this webinar starts at 9:00 AM Pacific, 12:00 PM Eastern, and 5:00 PM BST.This webinar is planned for October 22nd 2013 at 9.00 AM Pacific Time.
Register at: http://bit.ly/SeqAn
Intel Software Tools Technical Webinar Series, 9/17-11/12
This free webinar series presents tools, tips, and techniques that will help sharpen your development skills on developing and improving your high performance compute applications for multicore and manycore on Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors. Expert technical teams at Intel as well as open source innovators discuss development tools, programming models, vectorization and execution models that will get your development efforts powered up to get the best out of your applications and platforms.
Please click on the following link to register for this free webinar series: http://software.intel.com/en-us/articles/intel-software-tools-technical-webinar-series
Virtual School of Computational Science and Engineering
Graduate students, post-docs and professionals from academia, government, and industry are invited to sign up now for two summer school courses offered by the Virtual School of Computational Science and Engineering.
- Data Intensive Summer School (July 8-10, 2013)
- Proven Algorithmic Techniques for Many-core Processors (July 29-Aug. 2, 2013) (CANCELLED AS OF 7/1, CHECK BACK TO SEE IF RESCHEDULED)
GPU Computing Workshop with NVIDIA
Parallel Computing Workshop
New Media Center, Lewis Library
Does your computer have 8 cores? Do you spend much time waiting for your code to run, while 7 of those cores sit idle? If so, then this is the workshop for you! The instructors will spend three days teaching the basics of MPI and OpenMP, the two most common tools used to parallelize scientific/numerical codes.
Jonathan Sievers has worked in a variety of fields in cosmology, with a main emphasis on using HPC to study the cosmic microwave background and galaxy clusters. Much of the data he has used has come from some of the highest permanent telescopes in the world, located in the Chilean Andes at altitudes of over 5,000 meters. Dr. Sievers did his graduate work at Caltech and did a postdoc at the Canadian Institute for Theoretical Astrophysics before moving to Princeton University.
Jonathan Dursi was part of the team that won a Gordon Bell Award at Supercomputing 2000 for work in massively parallel adaptive mesh computations of detonations in Type Ia supernovae. He has been a member of the US Department of Energy's Advanced Strategic Computing Initiative FLASH Project, and more recently a senior research associate at the Canadian Institute for Theoretical Astrophysics (CITA). He has used large-scale simulations to probe questions of combustion, gravitational instability, and magnetic fields in the contexts of supernovae, galaxy clusters, and protoplanetary disks. He is now an HPC Analyst at SciNet.
Space is limited to 25 participants, so register today at the Training website, www.princeton.edu/training
Workshop on Research Data Lifecycle Management
July 18-20, 2011
Princeton University, Princeton, NJ
The objective of this National Science Foundation (NSF)-funded workshop is to bring together researchers, campus information technology (IT) leaders, and library/archive specialists to discuss the topic of data lifecycle management specifically as it relates to computational science and engineering research data. This discussion will result in a common understanding of best practices and funding models for selecting, storing, describing, and preserving these digital data. The workshop will also help to cultivate partnerships between these communities to foster continued developments in the preservation and sharing of research data.
For more information regarding this workshop, please click on the URL below.
Supercomputing in Plain English: A High Performance Computing Workshop Series with the University of Oklahoma's Supercomputing Center for Education & Research (OCSER)
The OU Supercomputing Center for Education and Research (OSCER) provides free online workshop series from Janury 25, 2011 to May 3, 2011.
Fore more information, please visit OSCER's website at http://www.oscer.ou.edu/education.php .
Virtual School of Computational Science and Engineering
Through PICSciE, Princeton will participate as one of the sites for the Virtual School in Computational Science and Engineering 2011 Summer School. The Virtual School of Computational Science and Engineering (VSCSE) helps graduate students, post-docs and young professionals from all disciplines and institutions across the country gain the skills they need to use advanced computational resources to advance their research.
Virtual School courses are delivered simultaneously at multiple locations across the country using high-definition videoconferencing technology.
Learn more about our 2011 summer courses:
- Petascale Programming Environments and Tools, July 12–15, 2011
- Big Data for Science, TBC
- Proven Algorithmic Techniques for Many-core Processors, August 15–19, 2011