Capacity Building Objectives

• Balance and raise the awareness of systems resource usage among researchers and practitioners of computing systems, by promoting and facilitating the integration of aspects of resource usage directly into Computer Science curricula, starting from the undergraduate level.
• Balance and increase the number of trained researchers and PhD students with training in holistic resource-usage analysis, modelling, verification, and optimization techniques for computing systems, by organizing workshops, summer school and other networking activities on resource-aware computing.
• Expand knowledge of resource usage techniques for parallel computing systems among all the stakeholders, students, researchers, and practitioners, by organizing crash courses, training materials, and mutual research visits, to kick-start joint interdisciplinary efforts and projects that will tackle pressing issues of resource awareness.
• Balance and raise awareness in the multi-/many-core hardware community on predictability barriers to mitigate the large discrepancies between resource usage and system predictability, through the active involvement of the hardware expert members of the Action.
• Motivate new collaborative national and international research projects to work on holistic resource modeling and analysis for parallel computing systems, by cross-networking and liaising with public and private research funding agencies, insisting on the strategic importance of the topic.
• Provide timely and sustained knowledge transfer between academia and industry, ensuring that academic research on resource modelling and analysis addresses industry needs, in constant consultation with the industrial partners of the Action and a network of external contact points.