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A new tool for the performance analysis of massively parallel computer systems

Anton Stefanek, Richard Hayden, Jeremy Bradley
2010 Electronic Proceedings in Theoretical Computer Science  
We present a new tool, GPA, that can generate key performance measures for very large systems.  ...  Based on solving systems of ordinary differential equations (ODEs), this method of performance analysis is far more scalable than stochastic simulation.  ...  Introduction Quantitative analysis of systems by means of differential equation (ODE) approximation [1, 2] or fluid techniques [3, 4] produce transient performance measures for massive state-space  ... 
doi:10.4204/eptcs.28.11 fatcat:ci6aldv4pjaz3bjz2w3dgqqt2q

Multiscale Modeling of Accidental Explosions and Detonations

Jacqueline Beckvermit, Joseph Peterson, Todd Harman, Scott Bardenhagen, Charles Wight, Qingyu Meng, Martin Berzins
2013 Computing in science & engineering (Print)  
Still, simulations on this scale require both massively parallel computational infrastructure and selective sampling of mesoscale response, i.e. advanced computational tools and modeling.  ...  Numerical simulation provides a complementary tool that, with the steadily increasing computational power of the past decades, makes simulations at this scale begin to look plausible.  ...  Still, simulations on this scale require both massively parallel computational infrastructure and selective sampling of mesoscale response, i.e. advanced computational tools and modeling.  ... 
doi:10.1109/mcse.2013.89 fatcat:d75ysucrk5cnvivzo4cebxejcm

High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites

R. Butler, T. Dodwell, A. Reinarz, A. Sandhu, R. Scheichl, L. Seelinger
2019 Computer Physics Communications  
The development of this solver has been motivated by the need to overcome the limitations of commercially available modelling tools for solving structural analysis simulations in aerospace composite applications  ...  The resulting linear system is solved via an iterative solver with a robust, scalable two-level overlapping Schwarz preconditioner: GenEO.  ...  Acknowledgments This work was supported by an EPSRC Maths for Manufacturing grant (EP/K031368/1). Richard Butler holds a Royal Academy of Engineering-GKN Aerospace Research Chair in Composites.  ... 
doi:10.1016/j.cpc.2019.106997 fatcat:lniwqlzyhfai5gvzmyuoxdxaje

Fluid computation of passage-time distributions in large Markov models

Richard A. Hayden, Anton Stefanek, Jeremy T. Bradley
2012 Theoretical Computer Science  
Finally, using the GPA tool, we take advantage of the rapid fluid computation of passage times to show how a multi-class client-server system can be optimised to satisfy multiple service level agreements  ...  Specifically, we show that for models of sufficient scale, global passage-time distributions can be well approximated by a deterministic fluid-derived passage-time measure.  ...  Fluid analysis of performance models offers the exciting potential for the analysis of massive state-spaces at small computational cost.  ... 
doi:10.1016/j.tcs.2011.07.017 fatcat:jx7tioulurblzlid4pvrqp3gna

Efficient numerical methods for the large-scale, parallel solution of elastoplastic contact problems

Jörg Frohne, Timo Heister, Wolfgang Bangerth
2015 International Journal for Numerical Methods in Engineering  
From a mathematical perspective, they are characterized by the difficulties of variational inequalities for both the plastic behavior as well as the contact problem.  ...  In particular, we use adaptive finite element meshes with linear and quadratic elements, a Newton linearization of the plasticity, active set methods for the contact problem, and multigrid-preconditioned  ...  Consequently, we will consider the parallel scalability of our methods in the next section. Γ C λ z Global Parallel scalability.  ... 
doi:10.1002/nme.4977 fatcat:oytgrmg3aze6lfs2bnkygr2v5e

Study of crystal growth and solute precipitation through front tracking method

Xiaolin Li, James Glimm, Xiangmin Jiao, Charles Peyser, Yanhong Zhao
2010 Acta Mathematica Scientia  
We developed a new formulation and interpretation of convergence for turbulent combustion simulations with a new rigorous mathematical analysis of turbulent flow. We modeled the 2. REPORT TYPE 17.  ...  , stochastic issues in modeling and simulation, and nonlinearities caused by high levels of deformation in the coupling of fluid to solid codes.  ...  Number of Papers published in non peer-reviewed journals: (c) Presentations  ... 
doi:10.1016/s0252-9602(10)60055-0 fatcat:xpfzimhrrnay3osmahqv75yn4u

Providing Dependability and Resilience in the Cloud: Challenges and Opportunities [chapter]

Samuel Kounev, Philipp Reinecke, Fabian Brosig, Jeremy T. Bradley, Kaustubh Joshi, Vlastimil Babka, Anton Stefanek, Stephen Gilmore
2012 Resilience Assessment and Evaluation of Computing Systems  
However, these benefits come at the cost of increased system complexity and dynamicity posing new challenges in providing service dependability and resilience for applications running in a Cloud environment  ...  Cloud Computing is a novel paradigm for providing data center resources as on demand services in a pay-as-you-go manner.  ...  Trade-off between Energy Consumption and Performance We demonstrate the sort of energy/performance trade-off on a simple massively parallel client-server system.  ... 
doi:10.1007/978-3-642-29032-9_4 fatcat:hlj3rotbgngatcgqteulxwokba

Use of massively parallel computing to improve modelling accuracy within the nuclear sector

2016 International Journal of Multiphysics  
Use of massively parallel computing to improve modelling accuracy within the nuclear sector Engineering design for the nuclear sector brings together a particular set of demands not observed elsewhere  ...  A single exascale system would require over a gigawatt of power, equal  ...  FEA analysis was performed using ParaFEM, (revision 1796) [58] , an open source parallel finite element platform developed by the authors using a IBM BlueGene/Q system hosted at HPC The Hartree Centre  ... 
doi:10.21152/1750-9548.10.2.215 fatcat:4ivn3dexend4jivbh4svy563xi

Predicting solid compounds via global exploration of the energy landscape of solids on theab initiolevel without recourse to experimental information

J. Christian Schön, Klaus Doll, Martin Jansen
2010 Physica status solidi. B, Basic research  
At a glance Multi-scale materials modeling combines existing and emerging methods from diverse scientific disciplines to bridge the wide range of time and length scales that are inherent in a number of  ...  In this contribution we demonstrate how novel developments have changed the field in recent years from a descriptive to a predictive approach and have led to the modeling of properties and functions of  ...  With respect to the latter point, an important point are our ongoing developments on the scalable, efficient use of massively parallel computer platforms at the relevant system sizes, which form a corner  ... 
doi:10.1002/pssb.200945246 fatcat:z272jd2cardfnmewpgvmzepw6m

sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems [article]

Steven W. D. Chien, Jonas Nylund, Gabriel Bengtsson, Ivy B. Peng, Artur Podobas, Stefano Markidis
2020 arXiv   pre-print
Large-scale simulations of plasmas are essential for advancing our understanding of fusion devices, space, and astrophysical systems.  ...  We validate sputniPIC through the well-known GEM challenge and provide performance analysis.  ...  ACKNOWLEDGMENT Funding for the work is received from the European Commission H2020 program, Grant Agreement No. 801039 (EPiGRAM-HS) and Grant Agreement No. 800904 (VESTEC).  ... 
arXiv:2008.04397v1 fatcat:ay3g2c7rynhmxbu4uod56p2j5y

Integration of material and process modelling in a business decision support system: Case of COMPOSELECTOR H2020 project

Salim Belouettar, Carlos Kavka, Borek Patzak, Hein Koelman, Gast. Rauchs, Gaetano Giunta, Angela Madeo, Sabrina Pricl, Ali Daouadji
2018 Composite structures  
systems with business process for decision making.  ...  with its software tool implementation for an accurate, reliable, efficient and cost effective prediction, design, fabrication, Life Cycle Engineering (LCE), cost analysis and decision making.  ...  The European Commission is not liable for its content and the use that may be made of the information contained herein.  ... 
doi:10.1016/j.compstruct.2018.06.121 fatcat:o3s6gbahvrhqdljqiqwyor2do4

Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation [article]

Rocco Bombardieri and Rauno Cavallaro and Ruben Sanchez and Nicolas R. Gauger
2020 arXiv   pre-print
In this paper a methodology for high-fidelity gradient-based aerostructural optimization of wings, including aerodynamic and structural nonlinearities, is presented.  ...  by means of a wrapper to both solve the aerostructural primal problem and evaluate exact discrete gradients of the coupled problem.  ...  Zhou and Guillermo Suàrez of the Chair for Scientific Computing of TU Kaiserslautern for their assistance.  ... 
arXiv:2009.12669v2 fatcat:bgesesjasneznkwbzp6kgzctvi

Development of a friction modelling method in dry cutting of AISI 316L austenitic stainless steels

C. Bonnet, F. Valiorgue, J. Rech, J. M. Bergheau, P. Gilles, C. Claudin
2008 International Journal of Material Forming  
Moreover the authors would like thank the institute of Metal Forming and Casting (UTG) in Munich in Germany for carry out the tensile test for the Al99.5 in thicknesses of 0.02, 0.1, and 0.2 mm.  ...  ACKNOWLEDGEMENT The authors want to thank the federal province of Styria ("Zukunftsfonds Steiermark", Project 19) for financing the project and Fuchs Schmiermittel GmbH and Acheson Industries for the provision  ...  for use in the massive hot forging of investigated alloys.  ... 
doi:10.1007/s12289-008-0159-0 fatcat:ax24wrtwmrguphy3n6do6uxrbi

Vision-Augmented Molecular Dynamics Simulation of Nanoindentation

Rajab Al-Sayegh, Charalampos Makatsoris
2015 Journal of Nanomaterials  
The proposed system was tested by simulating the crystal anisotropy of crystalline silicon during nanoindentation.  ...  The hand gestures are used to pick and place atoms on the screen allowing thereby the ease of carrying out molecular dynamics simulation in a more efficient way.  ...  A theoretical analysis to optimize this would be too complex, but MD simulation analysis would be a convenient method of optimizing tool geometry to develop the most efficient probe geometry.  ... 
doi:10.1155/2015/857574 fatcat:i2fl4nreevgf5bunncd7ywnk6u

Additive Manufacturing of Casting Tools Using Powder-Binder- Jetting Technology [chapter]

Daniel Günther, Florian Mögele
2016 New Trends in 3D Printing  
In the case of the conventional manufacturing, the component data are at first realized as a model or tool, and this part is then further used for the actual production.  ...  It is possible to produce component sizes that are specific for foundry technology. Scalability during production allows production rates that are economical for small series.  ...  Scalability Among all processes, the powder-binder-jetting process is considered the most scalable. This has an impact on possible component sizes and system performance.  ... 
doi:10.5772/62532 fatcat:newprm7xuzhqbgqnevdl23hzv4
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