As increasingly widening gap of computing demand and performance in embedded computing domain,heterogeneous computing architecture which delivers better performance as well as lower power in limited size is gaining mo...As increasingly widening gap of computing demand and performance in embedded computing domain,heterogeneous computing architecture which delivers better performance as well as lower power in limited size is gaining more and more attention. At first,the heterogeneous computing model is presented. And the different tightly coupled single chip heterogeneous architectures and their application domain are introduced. Then,task partitioning methods are described. Several programming model technology are analyzed and discussed. Finally,main challenges and future perspective of High Performance Embedded Computing(HPEC) are summarized.展开更多
基金supported by National Natural Science Foundation of China(Grant No.50305035)。
文摘As increasingly widening gap of computing demand and performance in embedded computing domain,heterogeneous computing architecture which delivers better performance as well as lower power in limited size is gaining more and more attention. At first,the heterogeneous computing model is presented. And the different tightly coupled single chip heterogeneous architectures and their application domain are introduced. Then,task partitioning methods are described. Several programming model technology are analyzed and discussed. Finally,main challenges and future perspective of High Performance Embedded Computing(HPEC) are summarized.
