BEYONDMOORE addresses the timely research challenge of solving the software side of the Post Moore crisis. The techno-economical model in computing, known as the Moore’s Law, has led to an exceptionally productive era for humanity and numerous scientific discoveries over the past 50+ years. However, due to the fundamental limits in chip manufacturing we are about to mark the end of Moore’s Law and enter a new era of computing where continued performance improvement will likely emerge from extreme heterogeneity. The new systems are expected to bring a diverse set of hardware accelerators and memory technologies.

BEYONDMOORE has an ambitious goal to develop a software framework that performs static and dynamic optimizations, issues accelerator-initiated data transfers, and reasons about parallel execution strategies that exploit both processor and memory heterogeneity.

Budget: 1.5 Million Euros

The SparCity project aims at creating a supercomputing framework that will provide efficient algorithms and coherent tools specifically designed for maximising the performance and energy efficiency of sparse computations on emerging HPC systems, while also opening up new usage areas for sparse computations in data analytics and deep learning.

Overall, SparCity is a forward-looking project with a significant contribution to building Europe’s strengths in the application of HPC and related software tools, in the adoption of low-energy processing technologies, and in the development of advanced software and services for its citizens.

VERA aims to develop diagnostic tools for data movement, which is the main source of performance and energy inefficiency in parallel software. Technological advances and big data have increased the importance of data and data has become more critical than computation in terms of both energy consumption and performance in a software. Therefore, there is a need for performance tools that automatically detect and measure data movement in the memory hierarchy and between cores.