Events & Trainings

Joao Barreto from inesc-id presents the paper "Particle-In-Cell Simulation using Asynchronous Tasking".

EPEEC co-organises the 11th Programming and Tuning Massively Parallel Systems + Artificial Intelligence Summer School (PUMPS+AI 2021).

The 2nd HMEM workshop will serve as a forum to present and discuss ongoing research around heterogeneous memory systems

EPEEC researchers from Fraunhofer ITWM and inesc-id present the paper 'Eficient and Eventually Consisten

EPEEC holds the consortium's fifth face-to-face virtual meeting on 6-7 May 2021.

BSC researchers give two EPEEC presentations at NVIDIA GTC 2021.

Tom Vander Aa (imec) presents the poster 'SMURFF: High-Performance Framework for Matrix Factorization' at PRACEdays21.

INESC-ID researcher Ricardo Fonseca participates in the session "Scalable Particle-in-Cell Implementations on Emerging Architectures" at the <

Our partner Appentra organizes the online EPEEC training session 'Parallelware Tools: Ensuring parallel programming best practices for multicore CPUs and GPUs' on Tuesday 23 February 2021. 

The paper 'SPHT: Scalable Persistent Hardware Transactions' was presented in the 19th USENIX Conference on File and Storage Technologies (FAST'21), which was held virtually

Gabriel Staffelbach from CERFACS gives a presentation at the Load Balancing session of the First joint CoEs Technical Workshop.

EPEEC co-organises the workshop 'PROHEXA: Programming environments and models for improved productivity for heterogeneous Exascale Computing Systems'

João Pedro Barreto (INESC-ID) presents "Simulating plasma physics with Exascale supercomputers"

EPEEC is featured in the EXDCI-2 exhibition at the virtual PRACE booth in SC20.

EPEEC is one of the EU-funded HPC projects highlighted at the EXDCI-2 booth at Teratec Digital Forum 2020. 

EPEEC holds its fourth face-to-face virtual meeting on 1-2 September 2020.

This workshop serves as a forum to present and discuss ongoing research around heterogeneous memory systems.

EPEEC participates in the Intel HPC+ AI Pavilion with a Tech Talk

In this 'Efficient Parallel programming with GASPI' tutorial, an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) will be presented as an alternative to the programming model of MPI.

EPEEC holds its third face-to-face meeting on 20-21 April 2020.

This PRACE Advanced Training Centre (PATC) tutorial will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and

EPEEC partners from CERFACS present talks at the Extreme CDF Hackathon.

EPEEC coordinator Antonio Peña presents at the EuroExaScale-2020 workshop held in conjunction with the HiPEAC 2020 conference.

A GASPI Forum is organized to take place at imec in Leuven, Belgium on January 15, 2020. The aim of this event is to discuss GASPI proposals and general updates.

 

EPEEC researchers from the BSC presented the paper "Tasking in Accelerators: Performance Evaluation" at the 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT2019), which was held in the G

EPEEC researcher Per Ekemark, from Uppsala University, presented the poster "ArgoDSM Enhancements for Task-Based Systems" in the final conference of the

EPEEC coordinator Antonio Peña presents "The EPEEC H2020 Project: Programming Productivity at Exascale" at SC19.

EPEEC partners present "SMURFF: a High-Performance Framework for Matrix Factorization Methods - Applied Machine Learning & Machine Learning for Medicine" at the joint event by the 

EPEEC holds a Face-to-face and IAB meeting at the Barcelona Supercomputing Center on  November 7-8, 2019.

 

Topics: We can help on optimizing applications using a variety of programming models (OpenMP, OmpSs, MPI, CUDA, OpenACC, etc.). We also have mentors from many disciplines, including computer scientists and domain scientists. We will make sure we have the right mentors for you in case your application is selected. Note that this is not a GPU-only hackathon.