In situ TensorView is a loosely coupled in situ visualization openįramework that provides multiple viewers to help users to visualize and The training and functioning of CNNs as if they are systems of scientific We present in situ TensorView to visualize Simulations, visualization tools like Paraview have long been utilized to Networks are learning and making predictions. It is both interesting and helpful to visualize the dynamics within such deepĪrtificial neural networks so that people can understand how these artificial They can adapt their internal connections to recognize images, texts and more. 108-120.Convolutional Neural Networks(CNNs) are complex systems. In Proceedings of the International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS). Evaluating the impact of spiking neural network traffic on extreme-scale hybrid systems. Noah Wolfe, Mark Plagge, Misbah Mubarak, Christopher D Carothers, and Robert B Ross.In Proceedings of the 2017 17th IEEE/ACM international symposium on Cluster, Cloud and Grid Computing. Preliminary Performance Analysis of Multi-Rail Fat-Tree Networks. Noah Wolfe, Misbah Mubarak, Nikhil Jain, Jens Domke, Abhinav Bhatele, Christopher D.Graph visualization for the analysis of the structure and dynamics of extreme-scale supercomputers. Kenneth L Summers, Thomas P Caudell, Kathryn Berkbigler, Brian Bush, Kei Davis, and Steve Smith.In Tools for High Performance Computing 2014. A flexible data model to support multi-domain performance analysis. Martin Schulz, Abhinav Bhatele, David Böhme, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez, and Kate Isaacs.
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