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- For more information about the use of the GPU: Use of the GPU in PIX4Dmapper.
- For recommendations for a Hardware and Software Configuration: How to decide which hardware to buy.
- For more information regarding: Mac / Windows XP / Linux / Remote Access - Virtual machine / Distributed - Parallel processing: macOS / Windows XP / Linux / Remote access / Parallel processing.
- For more information about the processing speed: Processing speed.
This article explains how PIX4Dmapper utilizes each hardware component at each processing step.
Information:
The software is highly parallelized and takes advantage of multi-core CPUs, as well as MMX/SIMD instructions and NVIDIA GPU Cuda processing. However, the different steps of the processing do not use the resources the same way, and not all parts can take advantage of multi-core or CUDA.
Step 1
CPU
RAM
Hard Disk
GPU
Most important component.
In some sub-processing steps all the available CPU resources will be used whereas in others not all the CPU is used*.
Low usage.
Low usage.
(optional) Medium/high usage.
Step 2
CPU
RAM
Hard Disk
GPU
Most important component.
Fully used. This step will use all the CPU resources available.
Most important component.
Fully used. This step will use all the RAM resources available.
Low usage.
Low Usage
Step 3
CPU
RAM
Hard Disk
GPU
Low usage.
High usage.
Most important component.
The speed of the Hard Disk defines the processing speed.
No usage.
rayCloud
CPU
RAM
Hard Disk
GPU
Low usage.
Low usage.
Low usage.
Most important component.
*Some parts of the processing cannot be paralleled and some of them do not consume a lot of resources. However, they need to be completed in order to start the next processing process.