Big data applications such as - deep learning and graph analytics require hardware platforms that are energy-efficient yet computationally powerful. 3D manycore

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-ef

This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors di

This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in

The rising use of deep learning and other big-data algorithms has led to an increasing demand for hardware platforms that are computationally powerful, yet ener