Biomedical Engineering Reference
In-Depth Information
Figure 27.1
HIPerWall used to analyze microscopy data.
Figure 27.2
HIPerSpace used as a digital lightboard.
with 2.4-GHz quad core Intel processors, 4 GB of RAM, and NVIDIA Quadro
FX 5600 graphics, interconnected with dedicated gigabit Ethernet and addi-
tional 10-Gbps uplinks into its network-centric data storage back end, while
multiple auxiliary nodes may serve as its control front end. Notably, both
systems can be seamlessly tied together into one, termed HIPerVerse, using
the existing middleware. Figures 27.1 and 27.2 show HIPerWall and HIPerSpace
respectively, while being used for the analysis of biomedical data.
27.3.2.2 Cluster Middleware
The CGLX middleware is a fl exible, trans-
parent OpenGL-based graphics framework (Fig. 27.3) for distributed high-
performance visualization systems in a master-worker setup. The framework
was developed to enable OpenGL programs to be executed on heterogeneous
visualization clusters and to maximize the achievable performance and resolu-
tion for OpenGL-based applications on such systems. To overcome perfor-
mance - and confi guration - related challenges in networked display environments,
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