Krishna Kumar

Containers for HPCBy Krishna Kumar, Institute's fellow, University of Cambridge

The University of Cambridge with the support of the Software Sustainability Institute is organising a workshop on Containers for HPC: A Workshop on Singularity and Containers in HPC and Cloud on 29th and 30th June 2017. The aim of the workshop is to give an overview of container technologies in the context of Research Computing, with a specific focus on enabling HPC and GPU workloads.

The main focus will be around Singularity which is available in the current HPC system at Cambridge and is also the chosen technology that will be implemented in the new Cambridge Service for Data Driven Discovery at Cambridge (CSD3). Alongside a few special keynote talks, an afternoon session will cover practical examples from running a container on HPC to building your own Singularity container images.

Further information and registration is available at Containers for HPC workshop website. Places are limited, please make sure you have a real interest and need of this container technology and you are also familiar with Linux environments.

Containers for High Performance Computing


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teaching programming outside computer scienceBy Cyril Pernet, University of Edinburgh, Krishna Kumar, University of Cambridge, Laurence Billingham, British Geological Survey.


When: The Software Sustainability Institute Fellowship face-to-face selection day (November 2, 2016) involved several sessions including group discussions. This group discussion was about education and software.

Who: The group was composed of Dr Laurence Billingham, Dr Elena Vataga, Dr Krishna Kumar, Dr Cyril Pernet.

What: The discussion was about teaching programming and best practices at universities: whom we should teach, what should be taught and when…

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Research Associate, Department of Engineering, University of Cambridge


  • Computational engineering
  • teaching programming
  • large scale software development
  • GPU computing, container technology
  • geomechanics
  • city scale simulations

My work

Krishna's work involves developing large-scale computational methods to understand landslides, earthquakes and other geophysical hazards. Soil behaves like any other solid material supporting thousands of buildings, bridges and power plants, but also behaves as a fluid and flows across continental shelves. Soil, unlike most industrial materials, is granular in nature, but is often assumed to be a continuous media for all engineering designs and applications. Krishna's research focuses on understanding the grain scale mechanics of soil and simulating billions of soil grains to describe the complex macroscopic behaviour of underwater landslides. Krishna is one of the team-leads of the Cambridge-Berkeley Computational Geomechanics (CB-Geo) group, which focuses on developing open source, large-scale, massively parallel computational tools for geomechanics.

Krishna also works on large-scale big data frameworks for infrastructure monitoring. He is involved in the development of city scale simulation tools to understand the effect of individual and collective behaviour on physical infrastructures and their changes. In achieving the goal of understanding urban activity, it is critical to appreciate how…

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