While supercomputers are moving towards Exascale and steadily becoming more powerful every year, they are also becoming more difficult to program. EPiGRAM-HS is a European Commission Funded project (Horizon 2020, Grant agreement ID: 801039) with the goal of designing and delivering a programming environment for Exascale heterogeneous systems in order to support the execution of large scale applications.


Exascale supercomputers are capable of an exaFLOP (a billion billion floating point operations per second) and is the next milestone in computing power of large scale computing systems. In order to burst their compute power, these machines are using a property known as heterogeneity, meaning that there are more than one kind of processor or cores like GPU’s and FPGA’s


The underline complexity of heterogeneous hardware creates drawbacks for application developers who are often not aware of the hardware specifics and therefore cannot adjust their code to take advantage of the accelerating devices in heterogeneous systems.
EPiGRAM-HS consists of 6 partner organisations that are working towards the delivery of a programming framework that will optimise the work of the application experts and give their applications the opportunity to use the extreme compute power of an Exascale machine.


Network. Exploiting heterogeneity for high performance communication,, building on proven programming models.

Compute. Simplified efficient usage of complex memory systems.

Memory. Improving the integration of code for leading edge accelerators in work flows in HPC applications.

Pilot Applications

EPiGRAM-HS has a set of 4 pilot applications that will set the requirements by describing extreme-scale application bottlenecks and demonstrating improvements to application performance by targeting the EPiGRAM-HS environment.

More productive and powerful software has a strong societal impact on many levels. Weather forecast can be faster and more precise and therefore potentially save lives, as well as large amounts of public funds ahead of climate change. Space weather and computational fluid dynamics can get important data and help create more effective technologies for the future. Finally, lung cancer detection using deep learning applications will be of profound importance in the future for public hearth health care and the transition to e-health.

Keynote, Linaro, Sep 23, 2020
EPI, Euro approach for Exascale ages. The road toward sovereignty
Developing Rhea, the SiPearl Euro High-Performance Processor

OGAWA, Tadashi@ogawa_tter

State of the Union: Commission sets out new ambitious mission to lead on supercomputing, Sep 18, 2020 https://ec.europa.eu/commission/presscorner/detail/en/ip_20_1592
€8 billion
Q&A https://ec.europa.eu/commission/presscorner/detail/en/qanda_20_1593

Sep 16 https://twitter.com/ogawa_tter/status/1306213814182895617
"The future will be what we make it. And Europe will be what we want it to be."

ONLY 3 WEEKS until the @Supercomputing #SC20 workshop and we have an agenda 👇👇👇 https://buff.ly/33cxlhX! We will be highlighting our speakers leading up to the event - starting with Early Career Talks! Have you registered? https://buff.ly/3d2f6jI

HAPPENING TOMORROW! Our #RMACC chapter presents: “Inclusion Changes What’s Possible: Increasing Diverse Participation in Computing by Mitigating Biases and Barriers.” on Oct 21st at 3PM MDT. Sign up to attend: https://buff.ly/3nuwbrh

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