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The Large spring 2020 calls are open. Deadline EXTENDED: 22 April 2020 at 3 PM CET.

  • Posted on: 2 March 2020
  • By: bbrydsoe

The Large spring 2020 calls for large allocations are open

DEADLINE HAS BEEN EXTENDED TO 22 APRIL DUE TO COVID-19!

Please note that there are two calls, one call for Large compute and one call for Large storage.

Large compute call:
Call for compute at the SNIC website: https://snic.se/allocations/compute/large-allocations/

Workshop at LTU: NVIDIA Deep Learning Institute on Multiple Data Types, 2019-11-01

  • Posted on: 30 October 2019
  • By: bbrydsoe

Workshop: NVIDIA Deep Learning Institute on Multiple Data Types

The NVIDIA Deep Learning Institute (DLI) and Luleå University of Technology invite you to attend a hands-on deep learning workshop. The workshop is for developers, academic students, staff, and researchers.

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

Price: free

Seminar by Philipp Schlatter: "SNIC and SNAC: Handling of large-scale computer time allocations in Sweden. 1st October 2019, 13:00-15:00.

  • Posted on: 10 September 2019
  • By: bbrydsoe

SEMINAR BY PHILIPP SCHLATTER: "SNIC AND SNAC: HANDLING OF LARGE-SCALE COMPUTER TIME ALLOCATIONS IN SWEDEN"
 

Time: 1 October 2019, 13:00-15:00

Location: MC323, MIT Huset, Umeå University

The Large Fall 2019 call for large allocations is open. Deadline 11 October 2019 at 3 PM CET.

  • Posted on: 9 September 2019
  • By: bbrydsoe

The Large Fall 2019 call for large allocations is open

Please note that the requirements for the project description has been updated as of the Spring 2019 call. The updated requirements can be viewed both in SUPR and at the SNIC website: https://snic.se/allocations/compute/large-allocations/

Deep Learning and Machine Learning with MATLAB, 23 October 2018

  • Posted on: 21 September 2018
  • By: bbrydsoe

DEEP LEARNING AND MACHINE LEARNING WITH MATLAB

The seminar will be held at Umeå Folkets Hus, Miklagård, Skolgatan 59 (Vasaplan), in Umeå on Tuesday October 23rd, time: 09:00 to 12:00.

There is no cost to join the event, MATLAB only need registration through the link below.

Presenter is Emelie Andersson who is an application engineer at Mathworks specialized in the domain.

AGENDA:

09:00 Drop-in Registration & Breakfast

Call Large Fall 2018 for large allocations is open. Deadline 19 October 2018.

  • Posted on: 18 September 2018
  • By: bbrydsoe

The Fall 2018 call for proposals for LARGE allocations of computing time on the High Performance Computing  resources of the Swedish National Infrastructure for Computing (SNIC) is now open and will remain so until 19 October 2018.

The allocations are for the period 1 January 2019 - 31 December 2019.

SNIC Science Cloud Workshop at Mittuniversitetet in Sundsvall, 2018-08-31

  • Posted on: 13 August 2018
  • By: bbrydsoe

The SNIC Science Cloud (SSC)  invites all interested current and future users to a training workshop on an introductory level at Mid Sweden University, Campus Sundsvall, 10:00-16:00 on the 31st of August.

We will introduce cloud computing in general, including covering the best practices around security and you will learn the basics of how to work with the OpenStack based Infrastructure-as-a-Service (IaaS).

The majority of the time will be spent in lab sessions on basic usage of the IaaS cloud.

Kebnekaise Expansion: A Welcome Addition for all Users

  • Posted on: 29 May 2018
  • By: bbrydsoe

Kebnekaise Expansion: A Welcome Addition for all Users

We are currently installing and verifying the expansion of Kebnekaise that we announced at the HPC2N Open House last fall. The expansion is a welcome addition to a heavily loaded Kebnekaise and will improve queueing times, particularly for GPU jobs. The expansion consists of a combination of standard Intel Xeon Gold 6132 (Skylake) CPU nodes and nodes also equipped with NVIDIA V100 Volta GPUs. This makes HPC2N one of the first accademic HPC sites in Europe to have the V100 GPUs in production.

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Updated: 2024-11-01, 13:56