SparCity: the new collaborative project to create a supercomputing framework
SparCity, a new EuroHPC Joint Undertaking project, was launched.
The project aims to build a sustainable exascale ecosystem and increasing Europe’s competitiveness.
The project involves six player organisations in the area of high-performance computing from Portugal, Germany, Norway and Turkey.
Recently funded by the European High Performance Computing Joint Undertaking (EuroHPC JU), the highly ranked SparCity just launched. With three years of duration and a total budget of 2.6M€, this collaborative project between 6 partners in 4 countries aims to build a sustainable exascale ecosystem and increase Europe’s competitiveness.
The main goal of SparCity is to create a supercomputing framework that will provide efficient algorithms and coherent tools specifically designed for maximising the performance and energy efficiency of sparse computations on emerging High Performance Computing systems, while also opening up new usage areas for sparse computations in data analytics and deep learning.
“When talking about sparse computations, people think of scientific applications, finite element methods, mesh computation, etc. However, this project will also open up new usage areas for sparse computation, including data analytics and deep learning. That is why it is a very impactful project.” says Dr Didem Unat, the coordinator of SparCity at Koç University.
To demonstrate the effectiveness, societal impact, and usability of the framework, the SparCity project will enhance the computing scale and energy efficiency of four challenging real-life applications that come from drastically different domains, namely, computational cardiology, social networks, bioinformatics and autonomous driving. By targeting this collection of challenging applications, SparCity will develop world-class, extreme-scale and energy-efficient HPC technologies.
SparCity involves partnerships with Sabanci Universitesi (Turkey), Simula Research Laboratory (Norway), INESC-ID (Portugal), Ludwig-Maximilians-Universitaet Muenchen (Germany) and Graphcore (Norway), with the coordination of Koç University (Turkey).
“For INESC-ID, SparCity will leverage the efforts on the European low power processing technologies (in particular the European Processor Initiative) and contribute to the realisation of future exascale system architectures based on such technologies” says Prof. Leonel Sousa, Full Professor of the Electrical and Computer Engineering Department of Instituto Superior Técnico, University of Lisbon, and Senior Researcher of the High-Performance Computer Architectures and Systems Research Group.
“It is thus a great opportunity for researchers at Simula to collaborate with internationally leading experts, through these EuroHPC projects, to bring innovative use of HPC to real-world applications.” says Professor Xing Cai, head of the High Performance Computing department at Simula.
“This is an excellent chance for my team at Sabancı University to share our expertise on HPC and work with great researchers on a challenging project which will hopefully change the way we handle extreme-scale problems using sparse data.” says Dr. Kamer Kaya, from Sabancı University.
“Graphcore is committed to enabling next-generation techniques in AI compute, including innovative approaches to sparsity. Putting new hardware and software tools into the hands of researchers through the SparCity initiative will drive a virtuous cycle of discovery and deployment throughout Europe.” says says Ola Tørudbakken, GM & SVP Systems at Graphcore.
Read more about SparCity here: http://sparcity.eu/
Research data repositories and tools for human genomics data sharing
Inform the human research community of the status and availability of BioData.pt Local EGA and discuss its need and usability challenges.
The European Genome-phenome Archive (EGA) is a repository for all sequence and genotype experiment types, including case-control, population, and family studies. The EGA will serve as a permanent archive that will archive several levels of data, including the raw data (which could, for example, be re-analysed in the future by other algorithms) as well as the genotype calls provided by the submitters.
Responding to national regulations over human data sharing and other constraints, BioData.pt deploys and operates a Local EGA instance and tools that allow data discovery of genomic and phenoclinic data, following the GA4GH standard and international best practices.
This workshop aims at informing the human research community of the status and availability of BioData.pt Local EGA and discuss from several perspectives its need and usability challenges.
Further details and registration are available here.
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.