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Open Feature request MC-951

grid computing

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Description

As we request many times.
CUDA it's not applicable in MC; so please develop GRID calculation features like Metatrader5.
Or use one of many GRID services on internet:

http://www.xoreax.com/

amazone
digipede

there many others, please improve this feauters.

Steps to reproduce this issue

As we request many times.
CUDA it's not applicable in MC; so please develop GRID calculation features like Metatrader5.
Or use one of many GRID services on internet:

http://www.xoreax.com/

amazone
digipede

there many others, please improve this feauters.

Comments (1)
#1
user-offline.png  bomberone1 (bomberone1)
Dec 04, 2020 - 08:46

https://try.neuroshell.com/features/

Network Distributed Optimization
Even faster optimization of large complex models with distributed processing across multiple computers

Upgrades to the NeuroShell Trader Power User and NeuroShell DayTrader Power User versions are available which allow the software to distribute the optimization processing of complex financial models over your local area network. The result is a significant decrease in the amount of time it takes to create and update trading systems as market conditions change.

Home Network - Can distribute optimization processing to up to 3 computers on your network (and even to multiple cores/threads on each of those computers). The three computers include the server computer where you are running NeuroShell Trader and two additional computers that act as clients to the server computer.

Office Network - Can distribute optimization processing across 10 different computers and to the multiple cores/threads on each of those computers.

Corporate Network - Ramps up the power to a max of 25 computers.

The resultant speed increase is dependent on the speed of the processors and clock speed on all computers as well as the overhead of controlling, setup, and communication with each distributed thread. It is recommended that network optimization only be used on larger trading models that have a larger number of parameters and which take more than a minute or two to optimize on a single computer. Smaller trading models can optimize more slowly across a network due to the control, setup and communications overhead and might not utilize all the available processing cores if more cores are available than needed for genetic optimization of smaller models.

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Issue basics
  • Type of issue
    Feature request
  • Category
    Performance
  • Targeted for
    Not determined
  • Status
    Under Review
User pain
  • Type of bug
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