Accepted papers

The following papers are accepted for presentation at MCC2019.

• Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling, Sebastian Litzinger, Jörg Keller, and Christoph Kessler
• Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures, André Viebke, Sabi Pllana, Suejb Memti, and Joanna Kolodziej
• Recursive Task Generation for Scalable SDF Graph Execution on Multicore Processors, Georgios Georgakarakos and Johan Lilius
• LLC-guided Data Migration in Hybrid Memory Systems, Evangelos Vasilakis, Vassilis Papaefstathiou, Pedro Trancoso, and Ioannis Sourdis
• AVR: Reducing Memory Traffic with Approximate Value Reconstruction, Albin Eldstål-Damlin, Pedro Trancoso and Ioannis Sourdis
• Towards an Energy Aware Task Scheduler for Asymmetric Architectures, Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar, and Miquel Pericàs
• SaC: Exploiting Execution-Time Slack to Save Energy in Heterogeneous Multicore Systems, M Waqar Azhar, Miquel Pericàs, and Per Stenström
• Multi-variant User Functions for Platform-aware Skeleton Programming, August Ernstsson and Christoph Kessler