Seid Koric

2021

Fereshteh A. Sabet, Seid Koric, Ashraf Idkaidek, and Iwona Jasiuk (2021): High-Performance Computing Comparison of Implicit and Explicit Nonlinear Finite Element Simulations of Trabecular Bone, Computer Methods and Programs in Biomedicine (in press), Elsevier B.V.

2020

Q. Lu, A. Santiago, S. Koric, and P. Cordoba (2020): Comparison of Fluid Structure Interaction Capabilities in Finite Volume and Finite Element Based Codes, (in preparation)
Akash Singh, Xin Chen, Yumeng Li, Seid Koric, and Erman Guleryuz (2020): Development of Artificial Neural Network Potential for Graphene, American Institute of Aeronautics and Astronautics, AIAA Scitech 2020 Forum, Orlando, Florida, U.S.A.
Matthew L. S. Zappulla, S. Koric, S.–M. Cho, H.–J. Lee, S.–H. Kim, and B. G. Thomas (2020): Multiphysics modeling of continuous casting of stainless steel, Journal of Materials Processing Technology, Elsevier B.V., Vol 278, pp116469
Francois-Henry Rouet, Cleve Ashcraft, Jef Dawson, Roger Grimes, Erman Guleryuz, Seid Koric, Robert F. Lucas, James S. Ong, Todd A. Simons, and Ting-Ting Zhu (2020): Scalability Challenges of an Industrial Implicit Finite Element Code, Institute of Electrical & Electronics Engineers, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), pp505-514, virtual event

2019

Ange Therese Akono, Seid Koric, and Waltraud M. Kriven (2019): Influence of pore structure on the strength behavior of particle- and fiber-reinforced metakaolin-based geopolymer composites, Cement and Concrete Composites, Elsevier Ltd., Vol 103, pp103361
D. Liu, S. Koric, and A. Kontsos (2019): Parallelized Finite Element Analysis of Knitted Textile Mechanical Behavior, Journal of Engineering Materials and Technology, The American Society of Mechanical Engineers, Vol 141, Num 2, pp021008
D. Liu, S. Koric, and A. Kontsos (2019): A Multiscale Homogenization Approach for Architectured Knitted Textiles, Journal of Applied Mechanics, The American Society of Mechanical Engineers, Vol 86, Num 11, pp4044014

2018

Madhu Vellakal, Muris Torlak, Seid Koric, and Ahmed Taha (2018): Comparison of Characteristics of Flow Around a Sphere With Trip Wire Using Different Turbulence Modeling Approaches, The American Society of Mechanical Engineers, ASME 2017 International Mechanical Engineering Congress and Exposition (IMECE 2017), Vol 1: Advances in Aerospace Technology, Tampa, Florida, U.S.A.
R. Borrell, J.C. Cajas, D. Mira, A. Taha, S. Koric, M. Vázquez, and G. Houzeaux (2018): Parallel Mesh Partitioning Based on Space Filling Curves, Computers & Fluids, Elsevier BV, Vol 173, pp264-272
Ashraf Idkaidek, Seid Koric, and Iwona Jasiuk (2018): Fracture Analysis of Multi-Osteon Cortical Bone Using XFEM, Computational Mechanics, Springer Nature, Vol 62, Num 2, pp171-184
F.A. Sabet, O. Jin, S. Koric, and I. Jasiuk (2018): Nonlinear Micro-CT Based FE Modeling of Trabecular Bone-Sensitivity of Apparent Response to Tissue Constitutive Law and Bone Volume Fraction, International Journal for Numerical Methods in Biomedical Engineering, Wiley-Blackwell, Vol 34, Num 4, ppe2941

2016

Mariano Vázquez, Guillaume Houzeaux, Seid Koric, Antoni Artigues, Jazmin Aguado-Sierra, Ruth Arís, Daniel Mira, Hadrien Calmet, Fernando Cucchietti, Herbert Owen, Ahmed Taha, Evan Dering Burness, José María Cela, and Mateo Valero (2016): Alya: Multiphysics Engineering Simulation Toward Exascale, Journal of Computational Science, Elsevier BV, Vol 14, pp15-27
Anshul Gupta, Natalia Gimelshein, Seid Koric, and Steven Rennich (2016): Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization, Springer International Publishing, Lecture Notes in Computer Science: Euro-Par 2016 (Parallel Processing), pp672-683, Grenoble, France
R. I. Barabash, V. Agarwal, S. Koric, I. Jasiuk, and J. Z. Tischler (2016): Finite Element Simulation and X-Ray Microdiffraction Study of Strain Partitioning in a Layered Nanocomposite, Journal of Crystallography, Hindawi Publishing Corporation, Vol 2016, pp1-11
J. Kwack, G. H Bauer, and S. Koric (2016): Performance Test of Parallel Linear Equation Solvers on Blue Waters-Cray XE6/XK7 system, presented at CUG 2016, London, England, U.K.
Seid Koric and Anshul Gupta (2016): Sparse Matrix Factorization in the Implicit Finite Element Method on Petascale Architecture, Computer Methods in Applied Mechanics and Engineering, Elsevier BV, Vol 302, pp281-292
Vladimir Puzyrev, Seid Koric, and Scott Wilkin (2016): Evaluation of Parallel Direct Sparse Linear Solvers in Electromagnetic Geophysical Problems, Computers & Geosciences, Elsevier BV, Vol 89, pp79-87

2015

Sohan Kale, Ankit Saharan, Seid Koric, and Martin Ostoja-Starzewski (2015): Scaling and Bounds in Thermal Conductivity of Planar Gaussian Correlated Microstructures, Journal of Applied Physics, AIP Publishing, Vol 117, Num 10, pp104301
Sohan Kale, Seid Koric, and Martin Ostoja-Starzewski (2015): Stochastic Continuum Damage Mechanics Using Spring Lattice Models, Applied Mechanics and Materials, Trans Tech Publications, Vol 784, pp350-357
Vladimir Puzyrev and Seid Koric (2015): 3D Multi-Source CSEM Simulations: Feasibility and Comparison of Parallel Direct Solvers, Society of Exploration Geophysicists, SEG Technical Program Expanded Abstracts 2015 (2015 SEG International Exposition and 85th Annual Meeting), pp833-838, New Orleans, Louisiana, U.S.A.
Merle Giles, Seid Koric, and Evan Burness (2015): U. S. Industrial Supercomputing at NCSA, Chapman and Hall/CRC Press, Industrial Applications of High-Performance Computing, pp179-194

2014

Seid Koric, Qiyue Lu, and Erman Guleryuz (2014): Evaluation of Massively Parallel Linear Sparse Solvers on Unstructured Finite Element Meshes, Computers & Structures, Elsevier BV, Vol 141, pp19-25
Galen Arnold, Manisha Gajbe, Seid Koric, and John Urbanic (2014): XSEDE OpenACC Workshop Enables Blue Waters Researchers to Accelerate Key Algorithms, Association for Computing Machinery, XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, pp28:1-28:6, Atlanta, Georgia, U.S.A.
Wen Huang, Seid Koric, Xin Yu, K. Jimmy Hsia, and Xiuling Li (2014): Precision Structural Engineering of Self-Rolled-Up 3D Nanomembranes Guided by Transient Quasi-Static FEM Modeling, Nano Letters, American Chemical Society, Vol 14, Num 11, pp6293-6297

2019

Seid Koric, Robert F. Lucas, Erman Guleryuz (2019): Accelerating Virtual Prototyping and Certification in the Aerospace Industry with Scalable Finite-Element Analysis, 2019 Blue Waters Annual Report, pp162-163
Brian G. Thomas, Seong–Mook Cho, Hyunjin Yang, Surya Pratap Vanka, Matthew Zappulla, Seid Koric, Ahmed Taha (2019): Turbulent Multiphase Thermal Flow Modeling of Defect Formation Mechanisms and Electromagnetic Force Effects in Continuous Steel Casting, 2019 Blue Waters Annual Report, pp182-183

2018

Seid Koriċ, Guillaume Houzeaux, Paula Córdoba, Anshul Gupta (2018): Toward Robust and High-Fidelity Multiphysics Modeling on Petascale Architecture, 2018 Blue Waters Annual Report, pp192-193
Seid Koriċ, Robert F. Lucas, Erman Guleryuz (2018): Improving Virtually Guided Product Certification with Implicit Finite Element Analysis at Scale, 2018 Blue Waters Annual Report, pp172-173
Brian G. Thomas, Seong-Mook Cho, Surya Pratap Vanka, Seid Koric, Ahmed Taha, Hyunjin Yang, Matthew Zappulla (2018): Multiphase Turbulent Flow Modeling of Gas Injection into Molten Metal to Minimize Surface Defects in Continuous-Cast Steel, 2018 Blue Waters Annual Report, pp118-119
Ahmed Taha, Seid Koric, Sudhakar Parmidighantam, Narayan Aluru, Gabrielle Allen, Ashraf Idkaidek, Shantanu Shahane, Fereshteh A. Sabet, Ethan Shapera (2018): Advanced Digital Technology for Materials and Manufacturing, 2018 Blue Waters Annual Report, pp116-117
Ahmed Taha, Seid Koric, Daniel Mira, Oriol Lehmkuhl, Ricard Borrel, Albert Coca, Samuel Gómez, Mariano Vázquez, Guillaume Houzeaux, Madhu Vellakal (2018): High-Fidelity Numerical Simulations of the Reacting Flow Field of an Annular Combustor Model of an Aircraft Engine, 2018 Blue Waters Annual Report, pp122-123

2015

Seid Koric (2015): Sparse Matrix Factorization in Solid Mechanics and Geophysics on CPUs and GPUs, 2015 Blue Waters Annual Report, pp94-95

Dani Liu, S.Koric, D. Breen, and A. Kontsos: A Multi-scale Modeling Approach for Computational Design of Knitted Textiles


13th World Congress in Computational Mechanics (WCCM XIII 2018); New York, N.Y., U.S.A., Jul 22, 2018

Fereshteh A. Sabet, S. Koric, and I. Jasiuk: Nonlinear micro-CT finite element modeling of trabecular bone – Effect of tissue constitutive law on apparent response and comparison between implicit and explicit solvers


American Society of Mechanical Engineers 2017 International Mechanical Engineering Congress and Exposition (IMECE 2017); Tampa, Florida, U.S.A., Nov 9, 2017

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

Natalia E. Gimelshein, A. Gupta, S. C. Rennich, and S. Koric: GPU Acceleration of WSMP


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

Seid Koric and B. G. Thomas: Visco-plasic Multi-Physics Modeling of Steel Solidification


20th International Symposium on Plasticity and its Current Applications; Freeport, Bahamas, Jan 4, 2014

Seid Koric: Engineering Breakthroughs at NCSA


4th International Industrial Supercomputing Workshop; Amsterdam, The Netherlands, Oct 24, 2013

NCSA Collaborates to Scale Up Implicit Finite Element Analysis


Sep 14, 2018

Drawing on real-life models from Rolls-Royce and technical consulting from Cray, NCSA and LSTC optimized LS-DYNA to reduce the memory footprint of running high-fidelity models and improve the software's performance and scalability.


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NCSA Paves a New Way for Using Geopolymers


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.


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Scaling Commercial CFD Code at 3 Supercomputing Centers


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.


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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


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Industry Program study labeled ‘key scientific article’ by engineering publication


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.


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Blue Waters supercomputer power-user profile: Seid Koric


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.


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Blue Waters Instrumental in Recent Computational Development


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.


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Industrial Computational Breakthroughs on Blue Waters


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.


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Pushing limits


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.


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Alya code scaled to 100,000 cores on Blue Waters supercomputer


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.


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HPC Centers Role in Driving CAE Simulation


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.


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NCSA’s Private Sector Program pushes LS-DYNA code to extreme scale on Blue Waters supercomputer


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.


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