PASC 2018 - Platform for Advanced Scientific Computing Conference
Topics/Call fo Papers
PASC18 is the fifth edition of the PASC Conference series, an international platform for the exchange of competences in scientific computing and computational science, with a strong focus on methods, tools, algorithms, application challenges, and novel techniques and usage of high performance computing.
PASC18, co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS), will be held from July 2 to 4, 2018 at the Congress Center Basel, located in Basel, Switzerland.
The theme of PASC18 is Fast and Big Data, Fast and Big Computation, emphasizing our vision of the close coupling of data and computation. Exposing and expressing massive and irregular parallelism in computational problems are key challenges for exploiting the massive and heterogeneous parallelism available in current, and expected in future, HPC systems, as well as to find new ways of generating scientific insight from data and models. Through its rich and interactive program, PASC18 aims to highlight the computational approaches that computational scientists, computer scientists, and practitioners employ today and will employ over the next decades to address these challenges.
PASC18, co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS), will be held from July 2 to 4, 2018 at the Congress Center Basel, located in Basel, Switzerland.
The theme of PASC18 is Fast and Big Data, Fast and Big Computation, emphasizing our vision of the close coupling of data and computation. Exposing and expressing massive and irregular parallelism in computational problems are key challenges for exploiting the massive and heterogeneous parallelism available in current, and expected in future, HPC systems, as well as to find new ways of generating scientific insight from data and models. Through its rich and interactive program, PASC18 aims to highlight the computational approaches that computational scientists, computer scientists, and practitioners employ today and will employ over the next decades to address these challenges.
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Last modified: 2017-10-13 22:52:22