Hi everyone
I have written a computationally intensive program which I have optimised for speed by using Numpy. Still its a bit slow for my needs and I am looking at other ways of running it faster.
I am running the program written in Python 3 using Anaconda on Windows 10.
One obvious solution is to upgrade my hardware. Like everyone I wish to minimise the cost of doing so so I have a few questions regarding the best way to get my system running faster.
First though I am running a AMD Phenon II x4 840 quad core cpu on a M5A97 motherboard with 8Gb ram, Nvidia Geforce 720 video card and a 500Gb ssd. Yes its pretty old.
The first question concerns whether upgrading my graphics card would have any effect on performance? Does Anaconda make use of the graphics card's capabilities when crunching numbers in Numpy?
Or would an upgraded motherboard and/or cpu be the best way to go?
What would be the most cost-effective way to improve my hardware to run python with Anaconda under Windows 10 faster?
Thanks Peter
I have written a computationally intensive program which I have optimised for speed by using Numpy. Still its a bit slow for my needs and I am looking at other ways of running it faster.
I am running the program written in Python 3 using Anaconda on Windows 10.
One obvious solution is to upgrade my hardware. Like everyone I wish to minimise the cost of doing so so I have a few questions regarding the best way to get my system running faster.
First though I am running a AMD Phenon II x4 840 quad core cpu on a M5A97 motherboard with 8Gb ram, Nvidia Geforce 720 video card and a 500Gb ssd. Yes its pretty old.
The first question concerns whether upgrading my graphics card would have any effect on performance? Does Anaconda make use of the graphics card's capabilities when crunching numbers in Numpy?
Or would an upgraded motherboard and/or cpu be the best way to go?
What would be the most cost-effective way to improve my hardware to run python with Anaconda under Windows 10 faster?
Thanks Peter