Enabling extreme scale applications on heterogeneous hardware

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EPiGRAM-HS is motivated by the increasing presence of heterogeneous technologies on pre-exascale supercomputers and by the need of porting key HPC and emerging applications to these systems on time for exascale.

We are working towards delivering a new validated programming environment, extending the programmability and maximizing the productivity of application development for large-scale heterogeneous computing systems.

Improving MPI is a very important of part of our project and @EuroMPIconf is the premier conference for showcasing work on Message-Pass. programming model, MPI applications, performance and implementation issues. Deadline for 📰 submission: April 15th. https://t.co/wRI3RGpziO

In general, new DDR technologies do not outperform old ones 😥 Low-latency access is more important than throughput when it comes to application performance. https://t.co/np6V9GeDz5

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EPiGRAM-HS is consisted of 6 key European universities and enterprises focused on high performance computing.


Delivering a new validated programming environment for large-scale heterogeneous computing systems for enabling HPC and emerging deep-learning frameworks to run on large-scale heterogeneous systems at maximum performance.

Extending the programmability of large-scale heterogeneous systems with GPUs, FPGAs, HBM and NVM, by introducing new concepts, adding functionalities and carrying out implementations in two widely-used HPC programming systems for large-scale supercomputers (MPI and GASPI)

Maximizing the productivity of application development on heterogeneous supercomputers by providing auto-tuned collective communication, a framework for automatic code generation for FPGAs, a memory abstraction device comprised of APIs and a runtime for automatic data placement on diverse memories, and a DSL for large-scale deep-learning frameworks.