Latest version published on 1 October, 2019.By Mozhgan Kabiri Chimeh The first GPU hackathon at the University of Sheffield brought together researchers across Ireland and the UK. The University of Sheffield partnered with NVIDIA and Oak Ridge Leadership Computing Facility (OLCF) to hold its first GPU hackathon where seven applications teams worked alongside mentors with GPU-programming expertise to accelerate their scientific codes using GPUs.
Latest version published on 30 September, 2019.By Raniere Silva On 16-19 September, I taught a Software Carpentry workshop at the University of Botswana. The workshop was hosted by the Southern Africa Innovation Support (SAIS) Universities-Industry-Government (UIG) Co-creation Platform and had more than 30 learners
Latest version published on 24 September, 2019.By Magnus Hagdorn
Latest version published on 19 September, 2019.A Rice University scientist and his colleagues are using their search for dark matter in a study they hope will enhance all of data science.
Latest version published on 19 September, 2019.By Grai Calvey, Fiona Jones and Heather Cooper Drawing on Library Carpentry lessons, pedagogy and community.
Latest version published on 18 September, 2019.Stop, collaborate and listen: Gender equality in social data science Join us for an evening discussion with a panel of leading computational social scientists and data scientists on collaboration, equality, and skills future social scientists need to work with big data.
Latest version published on 17 September, 2019.By Colin Sauze, RSE at Aberystwyth University At Carpentry Connect Manchester 2019 I ran a session on developing a new carpentry style lesson on machine learning.
Latest version published on 16 September, 2019.The Software Sustainability Institute has launched a new evaluation service to ensure your research software is as good as it can be.
Latest version published on 13 September, 2019.By Aleks Nenadic The Institute is running two in-person Carpentries’ instructor trainings this autumn.
Latest version published on 12 September, 2019.By Neil Chue Hong, founding Director and Principal Investigator of the Software Sustainability Institute Why do open source research software projects appear to have a low rate of success? Is it because we lack appropriate models for sustaining research software development or is it because the community isn’t seeing the results?