The results described in this volume have been obtained within the research and development project named DEEP-EST, which stands for Dynamical Exascale Entry Platform – Extreme Scale Technologies. DEEP-EST is the third member of the DEEP family, initiated and coordinated by the Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich and financially supported by the European Commission through the FP7 and H2020 funding frameworks. The first DEEP project started at the end of 2011, was followed in 2013 by DEEP-ER (which stands for DEEP – Extended Reach), and then in 2017 by DEEP-EST
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H202...
The recently completed research project DEEP-ER has developed a variety of hardware and software tec...
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H202...
How does one cover the needs of both HPC and HPDA (high performance data analytics) applications? Wh...
On the way towards Exascale the needed hardware for supercomputing is struggling to keep delivering ...
Accelerators arrived to HPC when the power bill for achieving Flop performance with traditional, hom...
Striving at pushing the applications scalability to the limits, the DEEP project proposed an alterna...
Homogeneous cluster architectures dominating high-performance computing (HPC) today are challenged, ...
Resiliency and I/O are two major challenges faced in High Performance Computing when considering bui...
Homogeneous cluster architectures, which used to dominate high-performance computing (HPC), are chal...
The first Exaflop-capable systems will be installed in the USA and China beginning in 2020. Europe i...
On the way to explore the path to Exascale, the DEEP/-ER projects take a radically different approac...
The implementation of efficient remote sensing workflows isessential to improve the access to and an...
Due to the advancement of the latest-generation remote sensing instruments, a wealth of information ...
The European Dynamical Exascale Entry Platform (DEEP) is an example of a new type of heterogeneous s...
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H202...
The recently completed research project DEEP-ER has developed a variety of hardware and software tec...
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H202...
How does one cover the needs of both HPC and HPDA (high performance data analytics) applications? Wh...
On the way towards Exascale the needed hardware for supercomputing is struggling to keep delivering ...
Accelerators arrived to HPC when the power bill for achieving Flop performance with traditional, hom...
Striving at pushing the applications scalability to the limits, the DEEP project proposed an alterna...
Homogeneous cluster architectures dominating high-performance computing (HPC) today are challenged, ...
Resiliency and I/O are two major challenges faced in High Performance Computing when considering bui...
Homogeneous cluster architectures, which used to dominate high-performance computing (HPC), are chal...
The first Exaflop-capable systems will be installed in the USA and China beginning in 2020. Europe i...
On the way to explore the path to Exascale, the DEEP/-ER projects take a radically different approac...
The implementation of efficient remote sensing workflows isessential to improve the access to and an...
Due to the advancement of the latest-generation remote sensing instruments, a wealth of information ...
The European Dynamical Exascale Entry Platform (DEEP) is an example of a new type of heterogeneous s...
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H202...
The recently completed research project DEEP-ER has developed a variety of hardware and software tec...
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H202...