What resources when - Revision history

Areinhar at 15:03, 7 July 2026

2026-07-07T15:03:39Z

← Older revision		Revision as of 15:03, 7 July 2026
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	[[Category:PSC]]		[[Category:PSC]]
	[[Category:Remote Server Access]]		[[Category:Remote Server Access]]

	To try to answer the common question “what resources do I have access to and when should I use them”, below we present to approaches to answering the question. The first of which focuses on what resources exist and what they should be used for and the second tries to answer resource needs / current computing problems with resources to fit those needs/ solve those problems.		To try to answer the common question “what resources do I have access to and when should I use them”, below we present to approaches to answering the question. The first of which focuses on what resources exist and what they should be used for and the second tries to answer resource needs / current computing problems with resources to fit those needs/ solve those problems.

Areinhar at 15:03, 7 July 2026

2026-07-07T15:03:28Z

← Older revision		Revision as of 15:03, 7 July 2026
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	[[Category:Department Servers]]		[[Category:Department Servers]]
	[[Category:Wright Cluster]]		[[Category:Wright Cluster]]
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	* capacity:		* capacity:
	**few cores: 4-8 cores common on laptops~~<ref><p>From [http://laptopmag.com/articles/Cpu-comparison laptopmag]</p></ref>~~ (hyperthreading means 8-16 “cores”).		**few cores: 4-8 cores common on laptops (hyperthreading means 8-16 “cores”).
	**low RAM: 4-32 GB of common on laptops~~<ref><p>From [http://digitaltrends.com/computing/how-much-ram digitaltrends]</p></ref>~~, used across all cores		**low RAM: 4-32 GB of common on laptops, used across all cores
	**“no” GPUs: you don’t have GPUs that are optimized for Deep Learning		**“no” GPUs: you don’t have GPUs that are optimized for Deep Learning
	*You're using your laptop for other things, and running a big job will slow everything down when you're trying to do your homework		*You're using your laptop for other things, and running a big job will slow everything down when you're trying to do your homework

Areinhar: formatting

2026-07-07T15:02:47Z

formatting

← Older revision		Revision as of 15:02, 7 July 2026
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	'''Pro:'''		'''Pro:'''

	#Naturally the easiest tool to use since it’s yours. ~~Best for short jobs that require only a few cores~~.		#Naturally the easiest tool to use since it’s yours.
			#Install whatever you want.
			#Nobody else is hogging it.

	'''Cons:'''		'''Cons:'''

	#		#
	~~capacity:~~
	*few cores: 4-8 cores common on laptops<ref><p>From [http://laptopmag.com/articles/Cpu-comparison laptopmag]</p></ref> (hyperthreading means 8-16 “cores”).
	*low RAM: 4-32 GB of common on laptops<ref><p>From [http://digitaltrends.com/computing/how-much-ram digitaltrends]</p></ref>, used across all cores
	*“no” GPUs: you don’t have GPUs that are optimized for Deep Learning

	#
	other usage: You often want to use your computer for other things (and it’s built for that exact thing). It’s possible you or someone you know has has had to leave their laptop at home for the day/ run code overnight. When they need to run something intensive -OR- long. But you need that laptop for other work / homework…

	~~The below XKCD comic doesn’t have to be you… (though breaks are good):~~

	~~[[File:Compiling.png\|thumb\|none\|https://xkcd.com/303/]]~~

			* capacity:
			**few cores: 4-8 cores common on laptops<ref><p>From [http://laptopmag.com/articles/Cpu-comparison laptopmag]</p></ref> (hyperthreading means 8-16 “cores”).
			**low RAM: 4-32 GB of common on laptops<ref><p>From [http://digitaltrends.com/computing/how-much-ram digitaltrends]</p></ref>, used across all cores
			**“no” GPUs: you don’t have GPUs that are optimized for Deep Learning
			*You're using your laptop for other things, and running a big job will slow everything down when you're trying to do your homework
			*If your job lasts many hours, you may have to leave your laptop at home or leave it running overnight; or you may have problems when you close your laptop to take the bus.

			[[File:Compiling.png\|thumb\|This does not have to be you (though it's good to take breaks) https://xkcd.com/303/\|alt=]]

	'''Conclusion:''' Your personal computer isn’t the best for when doing a lot of computing and its easy to put jobs elsewhere!		'''Conclusion:''' Your personal computer isn’t the best for when doing a lot of computing and its easy to put jobs elsewhere!
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	'''Pros:'''		'''Pros:'''

	#Best for long		#Best for long-running jobs
	#Plenty of RAM per machine (128 GB on Leviathans + hydra7 and 8, 64 GB on other hydras)		#Plenty of RAM per machine (128 GB on Leviathans + hydra7 and 8, 64 GB on other hydras)
	#Very low barrier to entry (aka easy to get started)		#Very low barrier to entry (aka easy to get started)

Ajshen at 02:41, 29 June 2026

2026-06-29T02:41:14Z

← Older revision		Revision as of 02:41, 29 June 2026
Line 3:		Line 3:
	[[Category:Wright Cluster]]		[[Category:Wright Cluster]]
	[[Category:PSC]]		[[Category:PSC]]
			[[Category:Remote Server Access]]

	To try to answer the common question “what resources do I have access to and when should I use them”, below we present to approaches to answering the question. The first of which focuses on what resources exist and what they should be used for and the second tries to answer resource needs / current computing problems with resources to fit those needs/ solve those problems.		To try to answer the common question “what resources do I have access to and when should I use them”, below we present to approaches to answering the question. The first of which focuses on what resources exist and what they should be used for and the second tries to answer resource needs / current computing problems with resources to fit those needs/ solve those problems.

Ajshen at 02:39, 29 June 2026

2026-06-29T02:39:29Z

← Older revision		Revision as of 02:39, 29 June 2026
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			[[Category:Department Servers]]
			[[Category:Wright Cluster]]
			[[Category:PSC]]

	To try to answer the common question “what resources do I have access to and when should I use them”, below we present to approaches to answering the question. The first of which focuses on what resources exist and what they should be used for and the second tries to answer resource needs / current computing problems with resources to fit those needs/ solve those problems.		To try to answer the common question “what resources do I have access to and when should I use them”, below we present to approaches to answering the question. The first of which focuses on what resources exist and what they should be used for and the second tries to answer resource needs / current computing problems with resources to fit those needs/ solve those problems.

Areinhar at 15:12, 24 October 2025

2025-10-24T15:12:25Z

← Older revision		Revision as of 15:12, 24 October 2025
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	* The Statistics network share is not accessible		* The Statistics network share is not accessible

	= Computing resource flowchart =		== Computing resource flowchart ==

	These flow charts try to help capture what’s available and when you might use them.		These flow charts try to help capture what’s available and when you might use them.

Areinhar: Mention Leviathans

2025-10-24T15:11:54Z

Mention Leviathans

← Older revision		Revision as of 15:11, 24 October 2025
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	After you’re found the resource you think you’d like to use (or even when you’re still deciding), we strongly encourage you to attend an computing office hour to help discuss all the things you should be thinking about and get you on the right track quickly.		After you’re found the resource you think you’d like to use (or even when you’re still deciding), we strongly encourage you to attend an computing office hour to help discuss all the things you should be thinking about and get you on the right track quickly.

	= What computing resources do you have access to =		== What computing resources do you have access to ==

	== Your personal computer ==		=== Your personal computer ===

	Your personal computer is great for small jobs that take less than 30 minutes, uses few cores and not too much RAM.		Your personal computer is great for small jobs that take less than 30 minutes, uses few cores and not too much RAM.
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	#		#
	capacity:		capacity:
			*few cores: 4-8 cores common on laptops<ref><p>From [http://laptopmag.com/articles/Cpu-comparison laptopmag]</p></ref> (hyperthreading means 8-16 “cores”).
	#*few cores: 4-8 cores common on laptops<ref><p>From [http://laptopmag.com/articles/Cpu-comparison laptopmag]</p></ref> (~~multiply processes per cors~~ means = 8-16 “cores”).		*low RAM: 4-32 GB of common on laptops<ref><p>From [http://digitaltrends.com/computing/how-much-ram digitaltrends]</p></ref>, used across all cores
	#*low RAM: 4-32 GB of common on laptops<ref><p>From [http://digitaltrends.com/computing/how-much-ram digitaltrends]</p></ref>, used across all cores		*“no” GPUs: you don’t have GPUs that are optimized for Deep Learning
	#*“no” GPUs: you don’t have GPUs that are optimized for Deep Learning

	#		#
	other usage: You often want to use your computer for other things (and it’s built for that exact thing). It’s possible you or someone you know has has had to leave their laptop at home for the day/ run ~~lode oernight~~ When they need to run something intensive -OR- long. But you need that laptop for other work / homework…		other usage: You often want to use your computer for other things (and it’s built for that exact thing). It’s possible you or someone you know has has had to leave their laptop at home for the day/ run code overnight. When they need to run something intensive -OR- long. But you need that laptop for other work / homework…

	The below XKCD comic doesn’t have to be you… (though breaks are good):		The below XKCD comic doesn’t have to be you… (though breaks are good):

	[[File:Compiling.png\|thumb\|none\|https://xkcd.com/303/]]		[[File:Compiling.png\|thumb\|none\|https://xkcd.com/303/]]



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	*[[Parallel_computing\|parallelization]]		*[[Parallel_computing\|parallelization]]

	== The ~~<code>hydras</code> (the~~ department servers) ==		=== The department servers ===

	The departmental servers should be seen as a “sandbox”. You can experiment with lots of things on the servers and it doesn’t cost you much to do. The ~~hydras~~ have a ~~decent amount~~ of ~~RAM (much more~~ than ~~your personal computer)~~, ~~but often it won’t run a lot~~ faster than ~~if you put you’re computer aside and did the same thing~~ on ~~it (though a large pro is you don’t have to stop using~~ your own ~~computer when running jobs on the hydras)~~.		The departmental servers should be seen as a “sandbox”. You can experiment with lots of things on the servers and it doesn’t cost you much to do. The Leviathans and Hydras have more RAM than a typical laptop. The Leviathans also have top-of-the-line CPUs that should be faster than most laptops, though the Hydras have older CPUs that may not be faster than running code on your own laptop.

	'''Pros:'''		'''Pros:'''

	#Best for long ~~but smaller core jobs~~		#Best for long
	#~~Decent amount~~ of RAM per machine (~~64 GB, or~~ 128 GB on hydra7 and ~~hydra8~~)		#Plenty of RAM per machine (128 GB on Leviathans + hydra7 and 8, 64 GB on other hydras)
	#Very low barrier to entry (aka easy to get started)		#Very low barrier to entry (aka easy to get started)
	#File management system shares across ~~different hydra~~ servers		#File management system shares across all servers

	'''Cons:'''		'''Cons:'''

	#usage: The department server is a bit of a “wild-west” in terms of usage (it varies how many people use it at a given time)		#usage: The department server is a bit of a “wild-west” in terms of usage (it varies how many people use it at a given time)
	#cores per server: the number of cores per server is only 12		#cores per server: the number of cores per server is only 12 (Hydras) or 16 (Leviathans)

	'''Conclusion:''' Great place to start for more intensive computing.		'''Conclusion:''' Great place to start for more intensive computing.
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	'''Server Monitoring'''		'''Server Monitoring'''

	~~View current Hydra resource usage -~~ [https://info.stat.cmu.edu/grafana/d/~~fdkb6l4klj400d~~/hydra-cluster?orgId=1 Hydra Cluster Usage Monitor]		* [https://info.stat.cmu.edu/grafana/d/beuw1q6y3dgjkc/hydra-cluster?orgId=1 Hydra Cluster Usage Monitor]
			* [https://info.stat.cmu.edu/grafana/d/asjkldfbnvajdsfh213/leviathan-cluster?orgId=1 Leviathan Cluster Usage Monitor]

	== PSC (Pittsburgh supercomputer center) ==		== PSC (Pittsburgh supercomputer center) ==

Ecucuzze at 17:02, 29 July 2025

2025-07-29T17:02:59Z

← Older revision		Revision as of 17:02, 29 July 2025
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	* [https://info.stat.cmu.edu/grafana/d/edkar1rgy3l6od/ghidorah-cluster?orgId=1 Ghidorah Cluster Usage Monitor]		* [https://info.stat.cmu.edu/grafana/d/edkar1rgy3l6od/ghidorah-cluster?orgId=1 Ghidorah Cluster Usage Monitor]
	== [[File:~~ProblemsOnYourPersonalComputer11~~.png\|~~706x706px~~]]==		[[File:ProblemsOnYourPersonalComputerUpdated.png\|center\|thumb\|1000x1000px]]

	From [http://laptopmag.com/articles/Cpu-comparison laptopmag]		From [http://laptopmag.com/articles/Cpu-comparison laptopmag]
	<br/>      2. <font color="blue">↑</font>		<br/>      2. <font color="blue">↑</font>
	From [http://digitaltrends.com/computing/how-much-ram digitaltrends]		From [http://digitaltrends.com/computing/how-much-ram digitaltrends]

Ecucuzze: /* Azure */ removed Azure

2025-07-29T16:25:53Z

Azure: removed Azure

@@ Line 87: / Line 87: @@
 *[[PSC|PSC]]
 *[[Slurm|Slurm]]
 == GPU Computing ==

Areinhar: /* The hydras (the department servers) */ Correct size info on hydras

2025-01-24T15:32:08Z

The hydras (the department servers): Correct size info on hydras

← Older revision		Revision as of 15:32, 24 January 2025
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	== The <code>hydras</code> (the department servers) ==		== The <code>hydras</code> (the department servers) ==

	The departmental servers should be seen as a “sandbox”. You can experiment with lots of things on the servers and it doesn’t cost you much to do. The hydras have a decent amount of RAM ~~per core~~ (much more than your personal computer), but often it won’t run a lot faster than if you put you’re computer aside and did the same thing on it (though a large pro is you don’t have to stop using your own computer when running jobs on the hydras).		The departmental servers should be seen as a “sandbox”. You can experiment with lots of things on the servers and it doesn’t cost you much to do. The hydras have a decent amount of RAM (much more than your personal computer), but often it won’t run a lot faster than if you put you’re computer aside and did the same thing on it (though a large pro is you don’t have to stop using your own computer when running jobs on the hydras).

	'''Pros:'''		'''Pros:'''

	#Best for long but smaller core jobs		#Best for long but smaller core jobs
	#Decent amount of RAM per ~~core~~ (~~32 GBs~~)		#Decent amount of RAM per machine (64 GB, or 128 GB on hydra7 and hydra8)
	#Very low barrier to entry (aka easy to get started)		#Very low barrier to entry (aka easy to get started)
	#File management system shares across different hydra servers		#File management system shares across different hydra servers
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	#usage: The department server is a bit of a “wild-west” in terms of usage (it varies how many people use it at a given time)		#usage: The department server is a bit of a “wild-west” in terms of usage (it varies how many people use it at a given time)
	#cores per server: the number of cores per server is only 12~~, and ''currently'' you can’t run jobs across multiple cores easily~~		#cores per server: the number of cores per server is only 12

	'''Conclusion:''' Great place to start for more intensive computing.		'''Conclusion:''' Great place to start for more intensive computing.