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Towards Energy Efficient And Reliable 3D Manycore Chip Enabled By Machine Learning
As the demand for high performance and energy efficient computation has increased significantly, manycore chip architectures have emerged as a mainstream solution paradigm. A three-dimensional Network-on-Chip (3D NoC) that ...
NETWORK-ON-CHIP ENABLED MANYCORE ARCHITECTURES FOR CYBER-PHYSICAL SYSTEM
Predicting and controlling is the long-cherished goal of human. Among the various framework of prediction and control, the Cyber-Physical System (CPS) is a promising approach and grows fast in both academic and industry ...
Efficient Machine Learning Algorithms for Automatic Reconfiguration of Mobile Health Monitoring Systems
Mobile health monitoring plays a central role in a variety of healthcare applications. Due to the sensitive nature of healthcare applications, these systems need to process these personal and physiological informations ...
PHYSICAL DESIGN SOLUTIONS FOR THE DESIGN OF LOW POWER MULTI-TIER GATE-LEVEL MONOLITHIC THREE DIMENSIONAL INTEGRATED CIRCUITS
Three-dimensional (3-D) integration is emerging as a viable alternative to traditional scal- ing due to its potential to significantly reduce the on-chip wire length. 3-D integration technologies can be broadly classified ...
MACHINE LEARNING-INSPIRED HIGH-PERFORMANCE AND ENERGY-EFFICIENT HETEROGENEOUS MANYCORE CHIP DESIGN
CPU-GPU based heterogeneous manycore architecture is expected to be the dominant computing platform for many emerging application domains including artificial intelligence, bio-computing and big data analytics. This ...