Electrical and Multiple Physics Simulation for Analog and Power WLCSP

2014 ◽  
pp. 173-225
Author(s):  
Shichun Qu ◽  
Yong Liu
Keyword(s):  
Physics Simulation

Design Support for 3D System Integration by Multi Physics Simulation

2008 ◽  
Author(s):  
Peter Schneider ◽  
Sven Reitz ◽  
Joern Stolle ◽  
Roland Martin ◽  
Andreas Wilde ◽  
...  
Keyword(s):  
System Integration ◽  
Design Support ◽  
Physics Simulation

Multi-physics simulation of dendritic growth in magnetic field assisted solidification

2019 ◽  
Vol 144 ◽  
pp. 118673 ◽  
Author(s):  
Longchao Cao ◽  
Dehao Liu ◽  
Ping Jiang ◽  
Xinyu Shao ◽  
Qi Zhou ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Dendritic Growth ◽  
Physics Simulation

Sensitivitätsanalyse des Fördergutverhaltens*/Sensitivity analysis of transported material – Physics simulation based analysis of bulk material related to the topology of vibratory bowl feeders

2015 ◽  
Vol 105 (09) ◽  
pp. 622-626
Author(s):  
C. Stocker ◽  
G. Reinhart
Keyword(s):  
Sensitivity Analysis ◽  
Future Development ◽  
Development Process ◽  
Bulk Material ◽  
Automated Generation ◽  
Simulation Based ◽  
The Future ◽  
Physics Simulation ◽  
Material Physics ◽  
Transported Material

Vibrationswendelförderer (VWF) sind die meistverwendeten Systeme zur automatisierten Vereinzelung und Zuführung von Schüttgut. Zur Verbesserung der derzeit manuellen Entwicklung, werden Methoden zur Simulation von VWF erforscht. Der Fachartikel stellt eine physiksimulationsbasierte Sensitivitätsanalyse des Förderguts bezüglich der Topologie im VWF vor. Die Ergebnisse dieser Analyse dienen als Basis für die Entwicklung eines Verfahrens zur automatischen Generierung von Ordnungsschikanen.   Vibratory bowl feeders (VBF) are the most frequently used systems for automated sorting and feeding of bulk material. To improve the current manual development process, methods for simulation of VBF are researched. The presented paper introduces a physics simulation based sensitivity analysis of the behavior of transported parts related to the topology of the VBF. These results provide a basis for the future development of an algorithm for the automated generation of orienting devices.

scholarly journals A multi-physics simulation approach for energy and cost analysis during the deceleration of high-speed trains

2018 ◽  
Vol 24 ◽  
pp. 8-14 ◽  
Author(s):  
David Meinel ◽  
Tallal Javied ◽  
Sebastian Rast ◽  
Christian Zipp ◽  
Jörg Franke
Keyword(s):  
Cost Analysis ◽  
High Speed ◽  
Simulation Approach ◽  
Physics Simulation ◽  
High Speed Trains

Co-modelling Strategy for Development of Airpath Metamodel on Multi-physics Simulation Platform

2019 ◽  
pp. 504-516
Author(s):  
Gaurav Pant ◽  
Felician Campean ◽  
Aleksandrs Korsunovs ◽  
Daniel Neagu ◽  
Oscar Garcia-Afonso
Keyword(s):  
Simulation Platform ◽  
Physics Simulation

scholarly journals Daisen: A Framework for Visualizing Detailed GPU Execution

2021 ◽  
Author(s):  
Yifan Sun ◽  
Yixuan Zhang ◽  
Ali Mosallaei ◽  
Michael D. Shah ◽  
Cody Dunne ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Performance Improvement ◽  
Graphics Processing Units ◽  
Qualitative Evaluation ◽  
Evaluation Study ◽  
Survey Study ◽  
Performance Bottlenecks ◽  
Making Sense ◽  
Execution Traces ◽  
Physics Simulation

Graphics Processing Units~(GPUs) have been widely used to accelerate artificial intelligence, physics simulation, medical imaging, and information visualization applications. To improve GPU performance, GPU hardware designers need to identify performance issues by inspecting a huge amount of simulator-generated traces. Visualizing the execution traces can reduce the cognitive burden of users and facilitate making sense of behaviors of GPU hardware components. In this paper, we first formalize the process of GPU performance analysis and characterize the design requirements of visualizing execution traces based on a survey study and interviews with GPU hardware designers. We contribute data and task abstraction for GPU performance analysis. Based on our task analysis, we propose Daisen, a framework that supports data collection from GPU simulators and provides visualization of the simulator-generated GPU execution traces. Daisen features a data abstraction and trace format that can record simulator-generated GPU execution traces. Daisen also includes a web-based visualization tool that helps GPU hardware designers examine GPU execution traces, identify performance bottlenecks, and verify performance improvement. Our qualitative evaluation with GPU hardware designers demonstrates that the design of Daisen reflects the typical workflow of GPU hardware designers. Using Daisen, participants were able to effectively identify potential performance bottlenecks and opportunities for performance improvement. The open-sourced implementation of Daisen can be found at gitlab.com/akita/vis. Supplemental materials including a demo video, survey questions, evaluation study guide, and post-study evaluation survey are available at osf.io/j5ghq.

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