Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization

by   E. Wes Bethel, et al.

Visapult is a prototype application and framework for remote visualization of large scientific datasets. We approach the technical challenges of tera-scale visualization with a unique architecture that employs high speed WANs and network data caches for data staging and transmission. This architecture allows for the use of available cache and compute resources at arbitrary locations on the network. High data throughput rates and network utilization are achieved by parallelizing I/O at each stage in the application, and by pipelining the visualization process. On the desktop, the graphics interactivity is effectively decoupled from the latency inherent in network applications. We present a detailed performance analysis of the application, and improvements resulting from field-test analysis conducted as part of the DOE Combustion Corridor project.



There are no comments yet.


page 4

page 6

page 10


High-Speed Train Cell-less Network Enabled by XGS-PON and Impacts on vRAN Split Interface Transmission

We successfully demonstrate a transmission of a high layer split mobile ...

Effectively Prefetching Remote Memory with Leap

Memory disaggregation over RDMA can improve the performance of memory-co...

A Study of Network Congestion in Two Supercomputing High-Speed Interconnects

Network congestion in high-speed interconnects is a major source of appl...

5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions

Currently, many countries are facing the problems of aging population, s...

NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems

Cache-coherent non-uniform memory access (ccNUMA) systems enable paralle...

Application of interactive parallel visualization for commodity-based clusters using visualization APIs

We present an efficient and inexpensive to develop application for inter...

TRAKO: Efficient Transmission of Tractography Data for Visualization

Fiber tracking produces large tractography datasets that are tens of gig...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.