Domain and Website Information:
renderfarm.it
Domain name - renderfarm.it
Site title - Home - RenderFarm
Go to website - Home - RenderFarm
Site GEO location
Location Country - Italy
City/Town - Arezzo
Provider - Aruba S.p.A.
Site Logo
IP address:
Domain name servers:
dns4.arubadns.cz dns2.technorail.com dns.technorail.com dns3.arubadns.net
All records:
☆ renderfarm.it. 3600 IN TXT "v=spf1 include:_spf.aruba.it ~all"
☆ renderfarm.it. 3600 IN A 89.46.109.21
☆ renderfarm.it. 3600 IN MX 10 mx.renderfarm.it.
☆ renderfarm.it. 3600 IN NS dns3.arubadns.net.
☆ renderfarm.it. 3600 IN NS dns4.arubadns.cz.
☆ renderfarm.it. 3600 IN NS dns2.technorail.com.
☆ renderfarm.it. 3600 IN NS dns.technorail.com.
☆ renderfarm.it. 3600 IN SOA dns.technorail.com. hostmaster.technorail.com. 1 86400 7200 2592000 3600
Brief facts about renderfarm:
A render farm is a high-performance computer system, e.g. a computer cluster, built to render computer-generated imagery, typically for film and television visual effects. A render farm is different from a render wall, which is a networked, tiled display used for real-time rendering. The rendering of images is a highly parallelizable activity, as frames and sometimes tiles can be calculated independently of the others, with the main communication between processors being the upload of the initial source material, such as models and textures, and the download of the finished images.
Parallel rendering - Parallel rendering is the application of parallel programming to the computational domain of computer graphics. Rendering graphics can require massive computational resources for complex scenes that arise in scientific visualization, medical visualization, CAD applications, and virtual reality.
Queue - Queueing theory is the mathematical study of waiting lines, or queues. A queueing model is constructed so that queue lengths and waiting time can be predicted.
Server farm - A server farm or server cluster is a collection of computer servers, usually maintained by an organization to supply server functionality far beyond the capability of a single machine. They often consist of thousands of computers which require a large amount of power to run and to keep cool.
Applications of distributed computing
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