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Advanced processing techniques Parallel computing methods

Advanced processing techniques Parallel computing methods

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hotcone33
Member
204
05-05-2016, 03:27 AM
#11
The effort required and the benefits gained don’t justify the time invested
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hotcone33
05-05-2016, 03:27 AM #11

The effort required and the benefits gained don’t justify the time invested

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TSpencer25
Junior Member
9
05-07-2016, 03:51 PM
#12
That sounds concerning. Thanks for letting me know, but I'll give it a shot if possible!
T
TSpencer25
05-07-2016, 03:51 PM #12

That sounds concerning. Thanks for letting me know, but I'll give it a shot if possible!

R
Rubb_
Member
123
05-07-2016, 11:49 PM
#13
You need guidance from a team of experienced engineers. Modern systems are highly intricate, requiring collaboration across multiple specialists with full access to details. Relying on a single person is impractical; even basic tasks like setting up graphics cards or SLI demand significant expertise and resources. Performance would suffer greatly without proper coordination, and running such a setup on a network would be inefficient due to bottlenecks. The operating system must handle it as a unified whole, which is far beyond individual capabilities.
R
Rubb_
05-07-2016, 11:49 PM #13

You need guidance from a team of experienced engineers. Modern systems are highly intricate, requiring collaboration across multiple specialists with full access to details. Relying on a single person is impractical; even basic tasks like setting up graphics cards or SLI demand significant expertise and resources. Performance would suffer greatly without proper coordination, and running such a setup on a network would be inefficient due to bottlenecks. The operating system must handle it as a unified whole, which is far beyond individual capabilities.

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gcosta2
Member
96
05-12-2016, 07:13 AM
#14
Your issue centers on network delays overwhelming performance. In my experience with parallel computing back in the early 2000s, we used 10GB fiber between specialized cards and a custom OS to achieve fast connections. Even then, optimized scripts were needed to unlock processing power. We managed complex systems like factory or airport controls across multiple servers with dedicated SQL databases. The shift to multi-core CPUs aimed to cut latency by hiding processing complexity at the hardware level—making it easier for modern operating systems to handle threads without manual coordination. I recall some open-source tools existed a few years ago that could merge multiple machines into one, though I don’t remember their names or if anyone completed the project. Good luck with your project!
G
gcosta2
05-12-2016, 07:13 AM #14

Your issue centers on network delays overwhelming performance. In my experience with parallel computing back in the early 2000s, we used 10GB fiber between specialized cards and a custom OS to achieve fast connections. Even then, optimized scripts were needed to unlock processing power. We managed complex systems like factory or airport controls across multiple servers with dedicated SQL databases. The shift to multi-core CPUs aimed to cut latency by hiding processing complexity at the hardware level—making it easier for modern operating systems to handle threads without manual coordination. I recall some open-source tools existed a few years ago that could merge multiple machines into one, though I don’t remember their names or if anyone completed the project. Good luck with your project!

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