Difference between revisions of "Quickstart/What Is Viper"

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==What is Viper?==
 
==What is Viper?==
 
 
Viper is the University of Hull's supercomputer and is located on-site with its own dedicated team to administrate it and develop applications upon it.
 
Viper is the University of Hull's supercomputer and is located on-site with its own dedicated team to administrate it and develop applications upon it.
  
[[ File:Vipero1cropped.jpg|frame|These 4 racks contain 180x compute nodes, 4x high memory nodes, and 4x accelerator nodes which form part of Viper.]][[ File:Storage01cropped.jpg|frame|These racks contain the storage which is 0.5 Petabyte and the controller nodes, two login nodes, and two visualisation nodes.]]
 
<br>
 
 
==What is a supercomputer?==
 
==What is a supercomputer?==
A supercomputer is a computer with a high level of computing performance compared to a general-purpose computer. A supercomputer like Viper has a lot of elements of a desktop computer — processors, memory, disk, operating system — just more of them.
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[[ File:Vipero1cropped.jpg|frame|These 4 racks contain 180x compute nodes, 4x high memory nodes, and 5x accelerator nodes which form part of Viper.]][[ File:Storage01cropped.jpg|frame|These racks contain the storage which is 0.5 Petabyte and the controller nodes, two login nodes, and two visualisation nodes.]]
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Supercomputers are computers with a high level of computing performance compared to general-purpose computers. A supercomputer like Viper has a lot of elements of a desktop computer — processors, memory, disk, operating system — just more of them.
  
 
==Why do we need a supercomputer?==
 
==Why do we need a supercomputer?==
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High-performance computers achieve a high level of performance by allowing the user to split a large job into smaller computation tasks which then run in parallel, or by running a single task with many different scenarios on the data across parallel processing units.
 
High-performance computers achieve a high level of performance by allowing the user to split a large job into smaller computation tasks which then run in parallel, or by running a single task with many different scenarios on the data across parallel processing units.
  
Like just about all other supercomputers Viper runs on [http://linux.co.uk Linux], which is similar to UNIX in many ways and has a wide body of software to support it.
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Similar to all other supercomputers Viper runs on [http://linux.co.uk Linux], which is similar to UNIX in many ways and has a wide body of software to support it.
  
 
==Who can use Viper?==
 
==Who can use Viper?==
Viper is available to all research staff and postgraduates at the University of Hull for free, and provides an environment that will stimulate innovation and support world class research.
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Viper is available to all research staff and postgraduates at the University of Hull for free and provides an environment that will stimulate innovation and support world-class [https://hpc.wordpress.hull.ac.uk/research-outputs/ research].
  
 
Viper is currently used for:
 
Viper is currently used for:
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* And many more
 
* And many more
  
You can view a list of published research papers that Viper has been used in on our [[https://hpc.wordpress.hull.ac.uk/research-outputs/ website]].
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== Viper's hardware ==
 
 
== Vipers' hardware ==
 
  
 
{| class="wikitable mw-collapsible "
 
{| class="wikitable mw-collapsible "
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|-
 
|-
 
|[[File:Acceleratornodes.jpg]]
 
|[[File:Acceleratornodes.jpg]]
|'''Accelerator Nodes'''<br>Also known as GPU nodes. We have 4 GPU nodes, each identical to compute nodes with the addition of an Nvidia Ampere A40 GPU per node. These are almost similar to high-end graphics cards found in gaming rigs. The usefulness of these cards is that they have thousands of very small processing cores in them and this makes them very useful for executing small amounts of code but in a massively parallel way. This is why these cards are used for the new areas of machine learning and deep learning also.
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|'''Accelerator Nodes'''<br>Also known as GPU nodes. We have 5 GPU nodes, each identical to compute nodes with the addition of an Nvidia Ampere A40 GPU per node. These are almost similar to high-end graphics cards found in gaming rigs. The usefulness of these cards is that they have thousands of very small processing cores in them and this makes them very useful for executing small amounts of code but in a massively parallel way. This is why these cards are used in the areas of machine learning and deep learning.
 
|-
 
|-
 
|[[File: Visualisationnodes.jpg]]
 
|[[File: Visualisationnodes.jpg]]
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|-
 
|-
 
|[[File: Storagenodes.jpg]]
 
|[[File: Storagenodes.jpg]]
|'''Storage Nodes'''<br>These are servers in their own right which allow access to the actual storage arrays (hard disks), Viper accesses it’s disk storage via these nodes.
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|'''Storage Nodes'''<br>These are servers in their own right which allow access to the actual storage arrays (hard disks), Viper accesses its disk storage via these nodes.
 
|-
 
|-
 
|[[File: Storagearray.jpg]]
 
|[[File: Storagearray.jpg]]
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[[Newmainpage #Quickstart| Back]]  /  [https://viper.hull.ac.uk/ Next (Apply for an account)]
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[[Main Page #Quickstart| Back]]  /  [https://viper.hull.ac.uk/ Next (Apply for an account)]

Latest revision as of 10:00, 9 December 2022

What is Viper?

Viper is the University of Hull's supercomputer and is located on-site with its own dedicated team to administrate it and develop applications upon it.

What is a supercomputer?

These 4 racks contain 180x compute nodes, 4x high memory nodes, and 5x accelerator nodes which form part of Viper.
These racks contain the storage which is 0.5 Petabyte and the controller nodes, two login nodes, and two visualisation nodes.

Supercomputers are computers with a high level of computing performance compared to general-purpose computers. A supercomputer like Viper has a lot of elements of a desktop computer — processors, memory, disk, operating system — just more of them.

Why do we need a supercomputer?

The point of having a high-performance computer is so that the individual nodes can work together to solve a problem larger than any one computer can easily solve.

Supercomputers generally aim for the maximum in capability computing rather than capacity computing. Capability computing is typically thought of as using the maximum computing power to solve a single large problem in the shortest amount of time. Often a capability system is able to solve a problem of a size or complexity that no other computer can, e.g., a very complex weather simulation application.

How does Viper work?

High-performance computers achieve a high level of performance by allowing the user to split a large job into smaller computation tasks which then run in parallel, or by running a single task with many different scenarios on the data across parallel processing units.

Similar to all other supercomputers Viper runs on Linux, which is similar to UNIX in many ways and has a wide body of software to support it.

Who can use Viper?

Viper is available to all research staff and postgraduates at the University of Hull for free and provides an environment that will stimulate innovation and support world-class research.

Viper is currently used for:

  • Astrophysics
  • BioEngineering
  • Business School
  • Chemistry
  • Computer Science
  • Computation Linguistics
  • Geography
  • And many more

Viper's hardware

Hardware
Computenodes.jpg Compute Nodes
These make up most of the computing nodes and perform most of the standard computing processes within the HPC. Each node has 128GByte of RAM.
Highmemorynodes.jpg High Memory Nodes
These are very similar to the compute nodes but they have much more memory, ours have a 1 Tera Byte of RAM each which makes them ideal for research involving large memory models like engineering and DNA analysis in biology.
Acceleratornodes.jpg Accelerator Nodes
Also known as GPU nodes. We have 5 GPU nodes, each identical to compute nodes with the addition of an Nvidia Ampere A40 GPU per node. These are almost similar to high-end graphics cards found in gaming rigs. The usefulness of these cards is that they have thousands of very small processing cores in them and this makes them very useful for executing small amounts of code but in a massively parallel way. This is why these cards are used in the areas of machine learning and deep learning.
Visualisationnodes.jpg Visualisation Nodes
These are used for connecting from remote computers such as desktops and allow the rendered outputs from data to be viewed on a local computer. There are two visualisations nodes with 2x Nvidia GTX 980TI.
Highspeednetwork.jpg High Speed Network
All these compute nodes are connected by a very fast Intel Omni-path network to allow the compute nodes to act together. This runs at 100Gbit/s.
Storagenodes.jpg Storage Nodes
These are servers in their own right which allow access to the actual storage arrays (hard disks), Viper accesses its disk storage via these nodes.
Storagearray.jpg Storage Array
These are the actual disks held in a chassis and make up the whole file storage for Viper. Viper has a total file space of 0.5 Petabyte or 500 Terabyte.
Controllernodes.jpg Controller Node
The controller nodes are responsible for the management of all the compute nodes. Managing the loading of jobs, their termination and completion via the job scheduler, for Viper this is SLURM.
Loginnodes.jpg Login Nodes
These are the nodes which allow the user to log in to the cluster, this area is then used by the user to prepare jobs for the cluster. Although this is a server in its own right it is not used for computing work.




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