scholarly journals High performance parallel processing project (HPPPP) advanced materials designs for massively parallel environment CRADA No. TC-0824-94-I

1998 ◽  
Author(s):  
C Mailhiot
Keyword(s):  
Parallel Processing ◽  
High Performance ◽  
Advanced Materials ◽  
Massively Parallel ◽  
Parallel Environment

Comparing High-Performance Computing Techniques for Modeling Structural Impact on Battery Cells

2014 ◽  
Author(s):  
Mehdi Gilaki ◽  
Ilya Avdeev
Keyword(s):  
Finite Element ◽  
Parallel Processing ◽  
High Performance Computing ◽  
High Performance ◽  
Strain Curve ◽  
Thin Layers ◽  
Massively Parallel ◽  
Structural Impact ◽  
Performance Computing ◽  
Battery Cells

In this study, we have investigated feasibility of using commercial explicit finite element code LS-DYNA on massively parallel super-computing cluster for accurate modeling of structural impact on battery cells. Physical and numerical lateral impact tests have been conducted on cylindrical cells using a flat rigid drop cart in a custom-built drop test apparatus. The main component of cylindrical cell, jellyroll, is a layered spiral structure which consists of thin layers of electrodes and separator. Two numerical approaches were considered: (1) homogenized model of the cell and (2) heterogeneous (full) 3-D cell model. In the first approach, the jellyroll was considered as a homogeneous material with an effective stress-strain curve obtained through experiments. In the second model, individual layers of anode, cathode and separator were accounted for in the model, leading to extremely complex and computationally expensive finite element model. To overcome limitations of desktop computers, high-performance computing (HPC) techniques on a HPC cluster were needed in order to get the results of transient simulations in a reasonable solution time. We have compared two HPC methods used for this model is shared memory parallel processing (SMP) and massively parallel processing (MPP). Both the homogeneous and the heterogeneous models were considered for parallel simulations utilizing different number of computational nodes and cores and the performance of these models was compared. This work brings us one step closer to accurate modeling of structural impact on the entire battery pack that consists of thousands of cells.

scholarly journals On Solving the Decycling Problem in a Torus Network

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Antoine Bossard
Keyword(s):  
Parallel Processing ◽  
High Performance ◽  
Massively Parallel ◽  
Processing Capacity ◽  
3 Dimensional ◽  
Massively Parallel Systems ◽  
The World ◽  
High Performance Systems ◽  
Computing Performance ◽  
Torus Network

Modern supercomputers are massively parallel systems: they embody thousands of computing nodes and sometimes several millions. The torus topology has proven very popular for the interconnect of these high-performance systems. Notably, this network topology is employed by the supercomputer ranked number one in the world as of November 2020, the supercomputer Fugaku. Given the high number of compute nodes in such systems, efficient parallel processing is critical to maximise the computing performance. It is well known that cycles harm the parallel processing capacity of systems: for instance, deadlocks and starvations are two notorious issues of parallel computing that are directly linked to the presence of cycles. Hence, network decycling is an important issue, and it has been extensively discussed in the literature. We describe in this paper a decycling algorithm for the 3-dimensional k -ary torus topology and compare it with established results, both theoretically and experimentally. (This paper is a revised version of Antoine Bossard (2020)).

High Performance Parallel Processing Project (HPPPP) Advanced Materials Designs for Massively Parall

2021 ◽  
Author(s):  
B Bosl ◽  
T Keller ◽  
J Northrup
Keyword(s):  
Parallel Processing ◽  
High Performance ◽  
Advanced Materials

Evaluation of OrangeFS as a Tool to Achieve a High-Performance Storage and Massively Parallel Processing in HPC Cluster

2018 ◽  
pp. 57-69
Author(s):  
Hugo Eduardo Camacho Cruz ◽  
Jesús Humberto Foullon Peña ◽  
Julio Cesar González Mariño ◽  
Ma. de Lourdes Cantú Gallegos
Keyword(s):  
Parallel Processing ◽  
High Performance ◽  
Massively Parallel ◽  
Massively Parallel Processing

scholarly journals Solar Images Processing in Parallel Environment

2004 ◽  
Vol 3 (1) ◽  
Author(s):  
Nelson D. A. Mascarenhas ◽  
José H. Saito ◽  
Hanumant S. Sawant ◽  
Célio E. Morón ◽  
Reinaldo R. Rosa ◽  
...  
Keyword(s):  
Parallel Processing ◽  
Computer Science ◽  
Real Time ◽  
Communication Systems ◽  
High Performance ◽  
Weather Forecast ◽  
Joint Effort ◽  
Magnetic Structures ◽  
Parallel Environment ◽  
Images Processing

This paper presents the PVA-BDA project (Processing, Visualization and Analysis in ParallelEnvironment of the BDA Data) that has been developed for processing of solar images that will be captured bythe BDA (Brazilian Decimetric Array), a radio telescope under development at the National Institute for SpaceResearch (INPE). In a joint effort between the Department of Computer Science at Federal University of SãoCarlos (DC/UFSCar), the Astrophysics Division (DAS) and Associated Laboratory for Computing and AppliedMathematics (LAC) at INPE, a high performance parallel system is being developed with capacity to supportrealistic applications, involving a reasonable amount of parallel processing, in order to carry out the processing,visualization and analysis of solar images captured by BDA, in real time. The aim is to create the conditions forstarting a study of the solar weather forecast. The forecast of solar explosions are important as they may causeserious perturbations in terrestrial communication systems. An application for 3D reconstruction of X-raytomographic images of the solar atmosphere was developed at DC/UFSCar. Due to the need for the 3Dreconstruction of solar magnetic structures, in real-time, this application was implemented to execute in a parallelmachine using DSPs.

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