#OutcomeVideos

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SparCity - An Optimization and Co-design Framework for Sparse Computation

The SparCity project aims at creating 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 HPC systems, while also opening up new usage areas for sparse computations in data analytics and deep learning.

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This project has received funding from the European High-Performance Computing Joint Undertaking under grant agreement No 956213.
Koç University and Sabancı University are supported by the Turkish Science and Technology Research Centre Grant No 120N003 and 220N254, respectively. Simula and Graphcore are supported by the Research Council of Norway. Ludwig-Maximilians-Universität München (LMU) is supported by the German national Funding agency (BMBF). INESC-ID is supported by Fundação para a Ciência e a Tecnologia (FCT).

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