Mental Ray for Maya Render Farm Setup

March 28, 2012
Parallelism
Parallel network rendering lets you render your images on multiple machines over a network using the mental ray standalone renderer. This requires mental ray standalone rendering licenses and can be invoked while working within Maya (mental ray for Maya plugin) and also from the command line with Maya or using the mental ray standalone renderer.

A few terms
When using mental ray, Master refers to the machine that is invoking the parallel network render request interactively, via batch or command line. Slave refers to an individual machine with mental ray standalone on the network that performs part of a parallel network render and sends the information back to the master. Any machine with mental ray standalone can be a master, a slave or both at the same time. You can also mix any combination of IRIX, Linux, Windows, and Mac OS X machines as masters and slaves.

What do i need?
If you want to render from within Maya or batch render with Maya, you need to install mental ray for Maya on all master machines and mental ray standalone on all slave machines. If you want to render from the command line using the mental ray standalone renderer, you need to install mental ray standalone on all master and slave machines.

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HWLOC Library

March 9, 2012
I am glad to contribute to this library. 

The Portable Hardware Locality (hwloc) software package provides a portable abstraction (across OS, versions, architectures, ...) of the hierarchical topology of modern architectures, including NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various system attributes such as cache and memory information as well as the locality of I/O devices such as network interfaces, InfiniBand HCAs or GPUs. It primarily aims at helping applications with gathering information about modern computing hardware so as to exploit it accordingly and efficiently.
 


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