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Argonne Training Program on Extreme-Scale Computing

Argonne Training Program on Extreme-Scale Computing. August 2-14, 2015. St Charles, IL. Argonne Training Program on Extreme-Scale Computing. The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future. Paul Messina, director of science for the A...

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Argonne Training Program on Extreme-Scale Computing | extremecomputingtraining.anl.gov Reviews

https://extremecomputingtraining.anl.gov

Argonne Training Program on Extreme-Scale Computing. August 2-14, 2015. St Charles, IL. Argonne Training Program on Extreme-Scale Computing. The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future. Paul Messina, director of science for the A...

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Argonne’s Paul Messina on Training for Extreme-Scale « Argonne Training Program on Extreme-Scale Computing

http://www.extremecomputingtraining.anl.gov/2015/03/12/argonnes-paul-messina-on-training-for-extreme-scale

Argonne’s Paul Messina on Training for Extreme-Scale. Paul Messina, director of science for the Argonne Leadership Computing Facility (ALCF), discusses the primary objectives, curriculum and importance of the Argonne Training Program on Extreme-Scale Computing (ATPESC), now in its third year. HPCwire: Can you give us an overview of the Argonne Training Program on Extreme-Scale Computing (ATPESC)? HPCwire: What inspired you to organize this program? HPCwire: How do current trends in HPC – manycore p...

2

ATPESC 2016 set to groom new generation of supercomputer users « Argonne Training Program on Extreme-Scale Computing

http://www.extremecomputingtraining.anl.gov/2015/08/02/atpesc-2015-set-to-groom-new-generation-of-supercomputer-users

ATPESC 2016 set to groom new generation of supercomputer users. Paul Messina, Director of Science for the Argonne Leadership Computing Facility (ALCF) conceived and secured funding for ATPESC from the U.S. Department of Energy’s Office of Science as a way to grow the user community of current and future leadership-class computing systems. Selected from a highly competitive field of 170 applicants, program participants are comprised of doctoral students, postdocs, and computational scientists who have use...

3

ATPESC News « Argonne Training Program on Extreme-Scale Computing

http://www.extremecomputingtraining.anl.gov/category/news

Argonne’s HPC training program wraps up fourth year; lecture videos now available online. While only 65 participants are able to attend the intensive Argonne Training Program on Extreme-Scale Computing (ATPESC) each year, the entire high-performance computing (HPC) community can now tap into the program’s broad curriculum via YouTube. In an effort to extend the reach of ATPESC beyond the classroom, program organizers have captured and posted videos of more […]. The intensive two-week training program, no...

4

Agenda 2014 « Argonne Training Program on Extreme-Scale Computing

http://www.extremecomputingtraining.anl.gov/archive/2014-2/agenda-2014

SUNDAY, August 3. Paul Messina – ATPESC Program Director, ANL. A Crash Course on Logging into ALCF Systems and Running Simple Jobs. Ray Loy, ANL. Dinner Talk: Opening Remarks. Paul Messina, ANL. MONDAY, August 4. An Introduction to Parallel Supercomputing. Pete Beckman, ANL. Computer Architecture and Structured Parallel Programming. James Reinders, Intel. Vectorization (SIMD) and Scaling. James Reinders, Intel. A Performance Tuning Methodology: From the System Down to the Hardware-Introduction. Barbara C...

5

Lecturers 2013 « Argonne Training Program on Extreme-Scale Computing

http://www.extremecomputingtraining.anl.gov/archive/2013-2/lecturers-2013

Paul Messina –. ATPESC Program Director, Argonne National Laboratory. 8211; Argonne National Laboratory. 8211; Argonne National Laboratory. Oak Ridge National Laboratory. 8211; Lawrence Livermore National Laboratory. 8211; University of Chicago. 8211; University of Illinois at Urbana Champaign. 8211; Argonne National Laboratory. 8211; University of Notre Dame. 8211; Argonne National Laboratory. 8211; Mellanox Technologies. 8211; Argonne National Laboratory. 8211; Allinea Software. 8211; Rice University.

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Frequently Asked Questions (FAQ) | SIGMA

http://sigma.mcs.anl.gov/moab/faq-moab

Scalable Interfaces for Geometry and Mesh based Applications. Frequently Asked Questions (FAQ). Frequently Asked Questions (FAQ). Posted by Vijay Mahadevan. On Jul 23, 2014 in MOAB. What’s the largest mesh MOAB can read/write? Do you have any sample meshes that I can use to test MOAB? There are some meshes that come with the MOAB source code; see the MeshFiles. Sub-directory. There are also some meshes on the MOAB wiki, in Meshes. What about geometry models, and relating them to mesh? How do I see the ac...

sigma.mcs.anl.gov sigma.mcs.anl.gov

MOAB — The Mesh-Oriented datABase | SIGMA

http://sigma.mcs.anl.gov/moab-library

Scalable Interfaces for Geometry and Mesh based Applications. MOAB The Mesh-Oriented datABase. MOAB The Mesh-Oriented datABase. The meshes represented in MOAB originate in a variety of forms, including mesh read from files of various formats (e.g. CUBIT â .cubâ file, VTK, etc.) as well as mesh written into MOAB directly by. The MOAB data model consists of the following basic types:. A piece of data that can be assigned a distinct value to each entity and entity set, and to the interface itself. Tags ...

sigma.mcs.anl.gov sigma.mcs.anl.gov

PyTAPS — The Python interface for ITAPS | SIGMA

http://sigma.mcs.anl.gov/pytaps-library

Scalable Interfaces for Geometry and Mesh based Applications. PyTAPS The Python interface for ITAPS. PyTAPS The Python interface for ITAPS. NOTE: We have officially deprecated. The PyTAPS project and this will be superseded by an ongoing effort based on Cython. Please contact us (Vijay Mahadevan and Rajeev Jain) if you need more information. Since Python extension modules are shared libraries, MOAB, CGM, and Lasso must also be built as shared libraries (or using. Installed. Setuptools (version 0....On th...

sigma.mcs.anl.gov sigma.mcs.anl.gov

Galleries | SIGMA

http://sigma.mcs.anl.gov/gallery

Scalable Interfaces for Geometry and Mesh based Applications. Gallery Date: Jun 24, 2014. High Temperature Gas-cooled Reactor model shown below was created using RGG tools: AssyGen and CoreGen ( More info about these tools is here: What is RGG? Simulation details using this model can be found in this publication: Bingham, Avery, Javier Ortensi, Rajeev Jain, Iulian Grindeanu, and Tim Tautges. SHARP/PRONGHORN. (2012). pdf Left: Full Core HTGR mesh model; Center:. Gallery Date: Jun 23, 2014. Pictures below ...

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SIGMA v1.2.1 | SIGMA

http://sigma.mcs.anl.gov/moab/sigma-v1-2-1

Scalable Interfaces for Geometry and Mesh based Applications. SIGMA v1.2.1. SIGMA v1.2.1. Posted by Vijay Mahadevan. On Apr 5, 2016 in CGM. SIGMA v1.2.1 Release Notes. SIGMA v1.2.1 Release Notes. CGM Version 15.1. MOAB Version 4.9.1. MeshKit Version 1.4.1. The current release contains the following SIGMA tools:. Common Geometry Module (CGM) â Version 15.1. Mesh Oriented datABase (MOAB) â Version 4.9.1. MeshKit library (MeshKit) â Version 1.4.1. CGM Version 15.1. And OCE 0.17.1. PR #35, #36. A configurati...

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MeshKit | SIGMA

http://sigma.mcs.anl.gov/meshkit-library

Scalable Interfaces for Geometry and Mesh based Applications. MeshKit is an open-source library of mesh generation functionality. Its design philosophy is two-fold: it provides a collection of meshing algorithms for use in real meshing problems, along with other tools commonly needed to support mesh generation (coordination of BREP-based meshing process, mesh smoothing, etc.); and it serves as a platform in which to perform mesh generation algorithm research. If you would like to participate in the devel...

sigma.mcs.anl.gov sigma.mcs.anl.gov

CGM — The Common Geometry Module | SIGMA

http://sigma.mcs.anl.gov/cgm-library

Scalable Interfaces for Geometry and Mesh based Applications. CGM The Common Geometry Module. CGM The Common Geometry Module. Code, and can be obtained in source code form here. CGMA should be able to read and restore geometry created in CGM and CUBIT. CGMA is maintained in a world-readable bitbucket repository https:/ bitbucket.org/fathomteam/cgm. If you would like to participate in the development of CGMA, contact Vijay Mahadevan or Jane Hu for getting write access to the CGM repository. On Apr 5, 2016...

sigma.mcs.anl.gov sigma.mcs.anl.gov

Training | SIGMA

http://sigma.mcs.anl.gov/event-category/training

Scalable Interfaces for Geometry and Mesh based Applications. SIGMA 1.2.1 released! On Apr 5, 2016, SIGMA (v1.2.1) was released with several enhancements and fixes. The changelists and download instructions are available here. Please update your sources and let us know if you encounter problems. Training program hosted by ANL will showcase unstructured mesh technologies (MOAB) and solver interactions (PETSc/DMMoab) on Aug 5-6, 2016. Description for MOAB/DMMoab examples from the previous year are here.

sigma.mcs.anl.gov sigma.mcs.anl.gov

User Group Meeting | SIGMA

http://sigma.mcs.anl.gov/event-category/user-group-meet

Scalable Interfaces for Geometry and Mesh based Applications. The page you requested could not be found. Try refining your search, or use the navigation above to locate the post. SIGMA 1.2.1 released! On Apr 5, 2016, SIGMA (v1.2.1) was released with several enhancements and fixes. The changelists and download instructions are available here. Please update your sources and let us know if you encounter problems. SIGMA 1.2.1 is here! Apr 2016: v1.2.1 released ( notes. SIGMA 1.2 is here! March 11, 2017.

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Team | SIGMA

http://sigma.mcs.anl.gov/team

Scalable Interfaces for Geometry and Mesh based Applications. Vijay Mahadevan (Argonne National Lab). Iulian Grindeanu (Argonne National Lab). Rajeev Jain (Argonne National Lab). Navamita Ray (Argonne National Lab). Danqing Wu (Argonne National Lab). Paul Wilson (Univ Wisconsin-Madison). Patrick Shriwise (Univ Wisconsin-Madison). Andy Davis (Univ Wisconsin-Madison). Timothy Tautges (Univ Wisconsin-Madison, CD-Adapco). Anthony Scopatz (Univ Wisconsin-Madison). Jason A. Kraftcheck. Brandon M. Smith. Severa...

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Argonne Training Program on Extreme-Scale Computing

Argonne Training Program on Extreme-Scale Computing. August 2-14, 2015. St Charles, IL. Argonne Training Program on Extreme-Scale Computing. The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future. Paul Messina, director of science for the A...

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