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White Papers now available online


VIEW FOR FREE*


Implementing Sample Management Software Your 7-Step Guide to data migration INTERACTIVE SOFTWARE LIMITED Moving from spreadsheets to a LIMS? Interactive Software Limited’s 7-Step Guide helps you standardise and improve the quality of your existing data


AnIML: Concepts & Applications MERCK This whitepaper presents an overview of AnIML, the Analytical Information Markup Language. It is intended to assist decision makers who are evaluating the use of AnIML as a data format.


From data integrity regulations to Pharma 4.0 THERMO FISHER SCIENTIFIC Read a scientific instrument vendor’s perspective on the impact of the changes that one of their largest customer industries will undergo and what influence this will have on the evolution of software required to operate analytical instrumentation and the underlying handling of data.


Overcoming challenges of HPC Clusters for Simulation & Modeling BOSTON Engineers working in an increasingly broad range of industries are using HPC to execute simulation workloads.


PRACE “Best Practice Guide - Modern Processors” PRACE Processor manufacturers are continuously pushing the performance limits for delivering more computational capabilities to the end users.


European HPC technology research projects PRACE


The objective of this white paper is to present the results or the on-going work of the first HPC technology projects initiated within the Horizon 2020 programme, namely within calls FET- HPC-2014, 2016 and 2017.


Resilient Digitization GILSON As the world faces unprecedented challenges, researchers are turning to resilient and adaptable lab systems to improve their workflows.


FUTURE HPC TECHNOLOGIES PRACE The current technologies used for HPC systems will not be able to sustain the performance increase requested by the HPC/HPDA/AI 1 application communities.


A Guide to Improving Your R&D Data Maturity BENCHLING The volume and complexity of life science R&D data has exploded. To be successful in this new paradigm, R&D organizations must harness the full power of their data to drive faster, smarter decision making.


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SCIENTIFIC COMPUTING WORLD


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