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Support Vector Machine (SVM) is a linear binary classifier that requires a kernel function to handle non-linear problems. Most previous SVM implementations for embedded systems in literature were built targeting a certain application; where analyses were done through comparison with software implementations only. The impact of different application datasets towards SVM hardware performance were not...
Multiprocessor embedded systems integrates diverse dedicated processing units to handle high performance applications such as in multimedia and network processing. However, lock-based synchronization limits the efficiency of such heterogeneous concurrent systems. Hardware Transactional Memory (HTM) is a promising approach in creating an abstraction layer for multi-threaded programming. However, HTM...
Hardware Transactional memory (HTM) performance is application-specific and is dependent on its version management and conflict management configurations. An adaptive mechanism is needed to adapt its configurations based on multiple application behaviour.
Transactional memory (TM) is a promising approach in creating an abstraction layer for multi-threaded programming. However, the performance of TM is application-specific. Previous embedded system TM implementations exploit only conflict management to suit the application requirements. In this paper, we propose a hardware transactional memory (HTM) which exploits both version and conflict management...
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