HPC

EVENT

ISC High Performance

From June 24 – 28, 2018, ISC High Performance will be embracing a range of subject matter that is critical to the development of high performance computing. We also present you with the latest industry trends, networking and partnership opportunities. Join over 3,500 attendees and 150 exhibitors in Frankfurt, Germany, for the most comprehensive HPC conference in Europe. Visit the conference website.

PRESS RELEASE

Cavium Partners joins OpenCAPI

Cavium, a provider of semiconductor products that enable secure and intelligent processing for enterprise, data centre, wired and wireless networking is partnering with IBM for next generation platforms by joining OpenCAPI, an initiative founded by IBM, Google, AMD and others

EVENT

Multicore World 2018

Every year since 2012, experts and leaders from all over the world converge in February to New Zealand for three full days of the most thought-provoking sessions in the latest high-technology evolution and its applications.

Pages

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Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process

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Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory

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This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.

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This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value

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This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment