Resiliency and I/O are two major challenges faced in High Performance Computing when considering building, operating and working on an Exascale system. The European Exascale project "DEEP-ER" addresses both topics in a holistic approach that covers the full system stack from hardware to applications, and takes into account also aspects as scalability, concurrency, and power consumption.The largest effort is invested in DEEP-ER in software and application development. Making file systems more scalable, improving the performance of parallel I/O libraries, and developing resiliency techniques to reduce the impact of hardware failures on applications are some of the key contributions of the DEEP-ER project. Additionally, DEEP-ER will build a ha...
International audienceExtreme scale parallel computing systems will have tens of thousands ...
With the deployment of 10-20 PFlop/s supercomputers and the exascale roadmap targeting 100, 300, and...
Increased HPC capability comes with increased complexity, part counts, and fault occurrences. In- cr...
The recently completed research project DEEP-ER has developed a variety of hardware and software tec...
Striving at pushing the applications scalability to the limits, the DEEP project proposed an alterna...
On the way to explore the path to Exascale, the DEEP/-ER projects take a radically different approac...
On the way towards Exascale the needed hardware for supercomputing is struggling to keep delivering ...
Resilience is a major roadblock for HPC executions on future exascale systems. These systems will ty...
This work was supported in part by the U.S. Department of Energy, Office of Science, Advanced Scient...
The path to exascale poses several challenges related to power, performance, resilience, productivit...
To enable future scientific breakthroughs and discoveries, the next generation of scientific applica...
Accelerators arrived to HPC when the power bill for achieving Flop performance with traditional, hom...
c © The Authors 2015. This paper is published with open access at SuperFri.org Extreme scale paralle...
International audienceExtreme scale parallel computing systems will have tens of thousands of option...
Homogeneous cluster architectures dominating high-performance computing (HPC) today are challenged, ...
International audienceExtreme scale parallel computing systems will have tens of thousands ...
With the deployment of 10-20 PFlop/s supercomputers and the exascale roadmap targeting 100, 300, and...
Increased HPC capability comes with increased complexity, part counts, and fault occurrences. In- cr...
The recently completed research project DEEP-ER has developed a variety of hardware and software tec...
Striving at pushing the applications scalability to the limits, the DEEP project proposed an alterna...
On the way to explore the path to Exascale, the DEEP/-ER projects take a radically different approac...
On the way towards Exascale the needed hardware for supercomputing is struggling to keep delivering ...
Resilience is a major roadblock for HPC executions on future exascale systems. These systems will ty...
This work was supported in part by the U.S. Department of Energy, Office of Science, Advanced Scient...
The path to exascale poses several challenges related to power, performance, resilience, productivit...
To enable future scientific breakthroughs and discoveries, the next generation of scientific applica...
Accelerators arrived to HPC when the power bill for achieving Flop performance with traditional, hom...
c © The Authors 2015. This paper is published with open access at SuperFri.org Extreme scale paralle...
International audienceExtreme scale parallel computing systems will have tens of thousands of option...
Homogeneous cluster architectures dominating high-performance computing (HPC) today are challenged, ...
International audienceExtreme scale parallel computing systems will have tens of thousands ...
With the deployment of 10-20 PFlop/s supercomputers and the exascale roadmap targeting 100, 300, and...
Increased HPC capability comes with increased complexity, part counts, and fault occurrences. In- cr...