NEWS


Monday, May 30, 2016

At the convention opened by the Prime Minister of the Republic of Croatia Tihomir Orešković and attended by several Ministers and key state officials prof. Mario Kovač gave opening panel presentation on Digital economy.

During his presentation he addressed EU digital agenda and mentioned MANGO FET-HPC project.


Monday, May 30, 2016

Prof. Jose Flich presented MANGO project and plans for EsD proposal

At this first edition of European HPC Summit week coordinated by European eXtreme Data and Computing Initiative, EXDCI, Prof. Jose Flich presented MANGO project. The presentation was part of the EsD workshop.


Thursday, May 12, 2016

Check out the interview by featart.eu of Prof. Mario Kovač

Prof. Mario Kovač talks about MANGO project for featart.eu.




power

POWER

Software-level runtime management is inherently intertwined with system-wide control of physical parameters, primarily power consumption and temperature. To gain a holistic understanding of such deep interplay, MANGO will explore proactive thermal and power management in order to minimize energy consumption by creating for the first time a link between hardware and software effects, involving all layers modeling in HPC server, rack, and datacenter conception

performace

PERFORMANCE

MANGO architecture will rely on an innovative concept, where general-purpose compute nodes (GN) are finely intertwined with deeply heterogeneous acceleration nodes (HN) ensuring sustainable performance as high as 100 PFLOPS. GNs provide bulk high-performance computing power, also including highend graphics computing acceleration. On the other hand, HNs will be essentially on-node clusters of next-generation manycore chips coupled with deeply customized heterogeneous computing resources.

predictability

PREDICTABILITY

In addition to mere performance and power efficiency, it is of paramount importance to meet new nonfunctional requirements posed by emerging classes of applications. In particular, a growing number of HPC applications demand some form of time-predictability, or more generally Quality-of-Service (QoS), particularly in those scenarios where correctness depends on both performance and timing requirements and the failure to meet either of them is critical.