6.8 Presentations from 5G-Campus and European Projects Booths: 5G for the Connected World, Optimizing Computing Everywhere

Designing faster, more energy efficient and reliable computer systems requires effective collaboration between hardware designers, system programmers and performance analysts, as well as feedback from system users. Supported by a grant from the EU TETRACOM Coordination Action, we have developed Collective Knowledge (CK), an open framework for reproducible and collaborative design and optimization. CK enables systematic and reproducible experimentation, combined with leading edge predictive analytics to gain valuable insights into system performance. The modular architecture of CK helps engineers create and share entire experimental workflows involving modules such as tools, programs, data sets, experimental results, predictive models and so on. We encourage a wide community, including system engineers and users, to share and reuse CK modules to fuel R&D on increasing the efficiency and decreasing the costs of computing everywhere.