The server room of the Talence building will be undergoing refurbishment work on the cooling system and will require a total shutdown of PlaFRIM from 1st August starting at 12.00 with a restart during the 6th of August.
Thank you for your understanding.
The Luster filesystem “/lustre” is close to be saturated (in terms of inodes). If the system reaches the saturation, creation of new files on /lustre will no longer be possible.
It is therefore necessary for each user to clean up his personal directory /lustre/<LOGIN>.
We remind you that the storage space /lustre is a temporary work area and is not saved.
To store your non-temporary and big data, it is also possible to use the iRODS service. Information on it is available here
We will implement a quota in terms of number of file per user (~ 400 000).
Thank you for your understanding,
The development nodes (devel1[1-3]) will be restarted on Friday 24st March 2017, at noon.
This will allow the updating of these machines.
It will take 01h00
A KNL based cluster (Knights Landing (KNL) ) has been installed in February 2017.
The cluster consists of 4 KNL interconnected by OmniPath.
Knights Landing (7230) is a highly configurable architecture. Memory bandwidth is one of the common bottlenecks for performance in computational applications. KNL offers a solution to this problem.
To do so, the 2nd generation of Intel Xeon Phi (KNL) has on-package high-bandwidth memory (HBM) based on the multi-channel dynamic random access memory (MCDRAM). This memory is capable of delivering up to 5x performance (≥400 GB/s) compared to DDR4 memory on the same platform (≥90 GB/s).
The on-package HBM (labeled “MCDRAM” in the figure) resides on the CPU chip, next to the processing cores. KNL may have up to 16 GB of HBM. It’s hyghly configurable. The modes (which can only be modified through the BIOS) are the following:
More information is available in this Intel tutorial.
KNL have 64 cores (7230 version) and are organized on a grid as follows:
More information is available in the colfax documentation.
To allow users to test the different configurations, the 4 nodes of the cluster have all been configured with different parameters. Information on the different configurations is available in the PlaFRIM hardware page.
What is behind PlaFRIM…
89 (standard) nodes
10 MIC Xeon Phi nodes
5 GPU nodes
To Be Completed…
The Federative Platform for Research in Computer Science and Mathematics (known by its French acronym PlaFRIM) is a platform with a regional scope, built in partnership with the Bordeaux Institute of Mathematics and the Bordeaux Laboratory of Computer Science Research. Up and running since May 2010, the platform is designed to deploy high-performance computing resources for the design, development and intermediary validation of algorithms and scientific computation codes before their potential transfer to major national computation centres. It also serves as a “medium” for joint work carried out with our industrial and institutional partners.
A new web site for PlaFRIM is available since September 2015.