This special session focuses on all aspects of energy-efficient computing in parallel multi- and manycore systems for the dark silicon era. The goal of this special session is to bring together researchers from this community to corporately address challenges that limit higher data-densities and efficient energy utilization in application areas where low power consumption combined with dependable operation is required. The achievements of this special sessions can have a great potential to contribute to the realization of near future computing systems and applications, such as data intensive embedded servers, hand-held consumer devices, and Internet-of-Things. DS-MC2 presents new ideas in the dark silicon aware multi- and many-core systems field such as theory and modeling, scalable and energyefficient design approaches and frameworks, algorithms, analysis and comparison, design techniques and emerging implementations.
Energy and thermal aware application mapping and scheduling
Energy- and thermal-aware dark silicon system design and optimization
Adaptive 3D architectures
Adaptive off-chip/on-chip communication architectures including networks-on-chip
On-line power monitoring and management
Programming models, tools, languages and compilers to support energy-aware reconfigurable computing
Low-power monitor and sensor circuits
Reconfigurable and/or heterogeneous system architecture
Energy efficient defect/fault tolerance, testing, and reliability
Aging aware design, energy- and thermal-related reliability issues
Energy-proportional systems
Energy efficient and hybrid memory architectures and technologies
09月21日
2016
09月23日
2016
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