it was written here many times how sqx works why it is not possible to use GPU etc. just use search function
Mark added GPU capabilities to the to be done later milestone list to SQX: https://roadmap.strategyquant.com/tasks/sq4_2985
I have read what you were referring to but after this task was submitted and there was some discussion about how it could be implemented, I was under the presumption that this sentiment had changed.
it was written here many times how sqx works why it is not possible to use GPU etc. just use search function
This is technically already happening since SQ3 and maybe before it. (Otherwise we would not be able to use more than one core at a time.)
I thought it was only WFO and Monte Carlo that took advantage of this but I have no clue as to how the inner workings of SQX are handled so it was only a best guess.
I know some optimized software with nvidia cuda libraries that take advantage of the cuda cores of the nvidia gpu…. or tesla cards for parallel calculation… but I think it’s a big job writing sqx optimized with Cuda libraries
If I could only have one Christmas present, it would be this lol
like cuda cores nvidia
I know some optimized software with nvidia cuda libraries that take advantage of the cuda cores of the nvidia gpu…. or tesla cards for parallel calculation… but I think it’s a big job writing sqx optimized with Cuda libraries
From wiki: Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. This is technically already happening since SQ3 and maybe before it. (Otherwise we would not be able to use more than one core at a time.)
Looking forward to GPU support too, should be much faster but might be a lot of work to get there…
From this paper: https://pdfs.semanticscholar.org/8fa2/9a317120add5525e61f41f73c5a96e932d60.pdf
GPGPU programming is writing massively parallel programs for execution on personal computers.
May all your fits be loose.
https://www.darwinex.com/darwin/SUG.4.2/
Hey everyone. From what I understand, the SQ team has made a lot of speed improvements for SQX including parallel computing for Monte Carlo and WFO simulations.
However, is it possible to use parallel computation for genetic training and random generation? I would presume this would make this process much faster for higher core count CPUs.
Also, I saw that GPU acceleration for computations is on the to be done later task list. But from what I understand, the only way GPU computing will help with the speed of building the strategies is if the building and training were done with parallel processing. I want to invest in premium GPUs to use with my machine for SQX when this feature becomes available however, I wanted to make sure that it would actually improve the speed of building and training strategies.
I’ve seen GPU acceleration improve the speed of training machine learning models by orders of magnitude. Could the same be applied to SQX? Curious to get thoughts from Mark or the development team. It would really be awesome to get the 10-100x speed improvements that have been observed with different models using multi-GPU setups 🙂
yeah. first try to write GPU to Search then ask pls. with all due the respect.
https://strategyquant.com/forum/search/GPU/
This has been discussed few times on this forum already, GPU cannot really be used if You want to allow users to program their own indicators and other things and extend SQX with their own ideas is one of the reasons. But it has also been said that parts could be added that could be GPU accelerated.
I was surprised to read on the internet that SQ did not yet have the ability to accelerate the calculations of the processing strategies by GPU and openCL nor the computation in the cloud !!! How is it possible?
I think it is a total backlog that SQ with the advanced that is compared to other competing software and that does not have this capacity yet, platforms like MT5 and others have already implemented it for a long time !!!
I hope to see some of these technologies incorporated in the coming months !!!
I propose that together we make strength so that they incorporate this technology and that you request and make requests for them to add this as soon as possible
Thank you
This blackscreen patch worked well, It was weird thought. I had not had any problem with it that i could not fix. But yesterday at the same time my 5 session on 4 different computers turned black at the same time and some had the GPU turned of.
Guys, I need some feedback on UI problem if you have it.
If you experience black screen in the new build 120, I made a patch that should fix this problem. You can download it here: https://1859438673.rsc.cdn77.org/web/patch_black_ui.zip
How to apply this patch:
- unpack these two files into {SQ}/internal/libs and overwrite the existing files there.
- delete folder /internal/chromium
This will revert internal UI browser to the version as it was in B119.
Can you please do this and let me know if it solved these black screen issues?
You can turn GPU mode back on.
Mark
StrategyQuant architect
thanks
I did, but I didn’t know how to set up the gpu.
For black screen on SQx120
If possible enable local web browser “remote access” on 127.0.0.1:8080 and turn of GPU acceleration. Thats what i did and then it worked.
I try the software. It’s a great software. I’ve planned to buy it but I’ve some question.
- Will there be a GPU support?
- Intel vs AMD. which CPU run better for this kind of workload? Is there any benefit of hyperthreading? Which one to buy to get the best bang for a buck. I’ve planned to buy a new computer primarily for running SQX.
- Is possible to create EA from a portfolio that is created from Quant Analyzer Portfolio master?
- When will Grid computer feature will be available? Do I need to buy an additional license for another machine?
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