University of Illinois at Urbana-Champaign
Continuing Improving Virtually Guided Certification for Product Design with Implicit FEA Software LS-DYNA(bapu)
Feb 2018 - Dec 2018
May 2017 - Mar 2018
Jun 2016 - Oct 2017
May 2016 - Oct 2017
Jan 2015 - Jul 2016
Erman Guleyruz: Improving Virtually Guided Product Certification with Implicit Finite Element Analysis at Scale
Blue Waters Symposium 2018, Jun 6, 2018
Muris Torlak and Halač, Almin and Roesler, Stefan and Koric, Seid: DES of Turbulent Flow Around a Sphere with Trip Wire
Eighth International Symposium On Turbulence, Heat and Mass Transfer; Sarajevo, Bosnia and Herzegovina, Sep 17, 2015
Seid Koric: Industrial Computational Breakthroughs at Blue Waters (Applications, Scalability and Challenges)
Blue Waters Symposium 2015, May 12, 2015
2015 GPU Technology Conference; San Jose, California, U.S.A., Mar 17, 2015
Seid Koric, A. Murali, B. G. Thomas: Elasto Visco-Plastic Model of Steel Solidification with Local Damage and Failure
International Symposium on Plasticity 2015; Montego Bay, Jamaica, Jan 7, 2015
20th International Symposium on Plasticity and its Current Applications; Freeport, Bahamas, Jan 4, 2014
4th International Industrial Supercomputing Workshop; Amsterdam, The Netherlands, Oct 24, 2013
Seid Koric, B. G. Thomas, and L. C. Hibbeler: Multiphysics Simulation of Metal Solidification Processes with Abaqus
2013 SIMULIA Community Conference; Vienna, Austria, May 22, 2013
Jun 17, 2015
In this video from the NCSA Blue Waters Symposium, Seid Koric from National Center for Supercomputing Applications presents: Industrial Computational Breakthroughs on Blue Waters.
Feb 19, 2014
LS-DYNA, an explicit finite element code used for simulations in the auto, aerospace, manufacturing, and bioengineering industries, was recently scaled to 15,000 cores on NCSA’s Blue Waters supercomputer—a world record for scaling of any commercial engineering code. Both software developers and end-users face constraints when it comes to testing the limits of commercial codes. They often don’t have access to truly massive supercomputers, and their resources and staff are focused on daily business needs—they can’t spare the time and manpower to attempt extreme scaling studies. NCSA’s Private Sector Program (PSP) is able to bring all of the key components together: LS-DYNA developer LSTC; the petascale Blue Waters supercomputer and its hardware manufacturer, Cray; the industrial users with real challenges; and the expertise of PSP’s staff. “Once Blue Waters was in production, we looked for test cases to run at extreme scale,” says Seid Koric, a senior computational resources coordinator with NCSA’s PSP and a University of Illinois adjunct professor of Mechanical Science and Engineering.
Nov 29, 2017
Dr. Seid Koric, this year’s winner of the Top Supercomputing Achievement award in the annual HPCwire Editors’ Choice Awards, teamed up with NCSA Faculty Fellow and PI, Professor Ange-Therese Akono, geopolymers expert Professor Waltraud “Trudy” Kriven and NCSA research scientist Dr. Erman Guleryuz. Their goal is to understand the impact of nanoporosity on stiffness and strength of geopolymers via molecular dynamics and finite element modeling.
Nov 14, 2017
The year isn’t over yet and already we've seen new records posted for proprietary physics-based simulations on two Cray machines – at the National Center for Supercomputing Applications (NCSA) and at King Abdullah University of Science and Technology (KAUST) - successfully pushing the limits of all the available nodes in those large machines.
Mar 6, 2014
Cray systems are installed at many HPC centers around the world, including the National Center for Supercomputing Applications (NCSA) at the University of Illinois, the High Performance Computing Center Stuttgart (HLRS), Oak Ridge National Laboratory (ORNL) and Edinburgh Parallel Computing Centre (EPCC) just to name a few. All of these centers have programs in place to work with commercial companies and increasingly, we see these centers enabling leading-edge HPC simulation. HPC centers have become essential to expanding the competitiveness of commercial companies.
Oct 17, 2016
Every year, many people perform research on Blue Waters, the massive supercomputer hosted by the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. However, very few can say that they've published research on Blue Waters an impressive 22 times, as NCSA's own Seid Koric has done.
Mar 17, 2016
Do you still remember linear algebra? Better question—can you still solve a linear algebra system of equations? Here, try one out. We’ll wait. 2x + 3y = 6 6y + 3x = -3 These are the kind of problems supercomputers use sparse matrices—which means with many zeros—to solve, says Seid Koric, adjunct professor in mechanical science and engineering as well as technical program manager for the Private Sector Program at NCSA.
May 28, 2015
NCSA's Private Sector Program (PSP) has a unique opportunity to work with non-academic codes, impact economic development, and make more complex simulations happen for industry partners, says Merle Giles, PSP director. High-performance computing (HPC) has become a core strategic technology enabling enhanced insight into product performance and improving the productivity by considering more design variants.But as companies increasingly seek to minimize time, quality, and cost pressures by using engineering simulation, they have been constrained by compute power. Both software developers and end-users face constraints when it comes to testing the limits of codes. They often don't have access to truly massive supercomputers and are focused on daily business needs, so they can't spare the time and manpower to attempt extreme scaling studies. PSP bridges the gap between partnering companies and computing resources and expertise.
May 7, 2014
The Barcelona Supercomputing Center (BSC) and the Private Sector Program at the National Center for Supercomputing Applications (NCSA) have collaborated to scale BSC’s Alya multi-physics code to a previously unprecedented 100,000 cores of NCSA’s Blue Waters supercomputer, simulating complex engineering problems such as airflow in the human body, contraction of the heart, and combustion in a kiln furnace. ... “These unprecedented results contradict the common belief that engineering simulation codes do not scale efficiently in large supercomputers, opening a new wide horizon of potential applications in the industrial realm,” says Seid Koric, the senior technical lead for industrial projects with NCSA’s Private Sector Program and an adjunct professor of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign.
HPCwire Reveals Winners of the 2017 Readers’ and Editors’ Choice Awards at SC17 Conference in Denver
Nov 13, 2017
HPCwire, the leading publication for news and information for the high performance computing industry, announced the winners of the 2017 HPCwire Readers’ and Editors’ Choice Awards at the Supercomputing Conference (SC17) taking place this week in Denver, CO. Tom Tabor, CEO of Tabor Communications Inc., unveiled the list of winners just before the opening gala reception. Top Supercomputing Achievement Readers’ Choice: HPE and NASA deploy first commodity HPC system into space Editors’ Choice: NCSA’s Dr. Seid Koric & Dr. Anshul Gupta from IBM TJ Watson Research Center demonstrated for the first time that multifrontal sparse factorization algorithm with hybrid parallelization can scale efficiently in today’s large-scale supercomputers
Jan 24, 2017
Advances in Engineering—which disseminates the most important developments in engineering fields for their highly technical/academic audience—has recently labeled a paper that came from the National Center for Supercomputing Application's (NCSA) Industry Program as a "key scientific article contributing to science and engineering research excellence." Program Manager and University of Illinois at Urbana-Champaign Research Professor Seid Koric worked with Anshul Gupta from the IBM T.J. Watson Research Center on the paper. For the first time ever they have demonstrated that sparse matrix factorization can be efficiently performed on a petascale machine, in the case NCSA's Blue Waters system.