ARTE: An Application-specific Run-Time management framework for multi-core systems

Giovanni Mariani, G. Palermo, C. Silvano, V. Zaccaria
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引用次数: 7

Abstract

Programmable multi-core and many-core platforms increase exponentially the challenge of task mapping and scheduling, provided that enough task-parallelism does exist for each application. This problem worsens when dealing with small ecosystems such as embedded systems-on-chip. In fact, in this case, the assumption of exploiting a traditional operating system is out of context given the memory available to satisfy the run-time footprint of such a configuration.
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用于多核系统的特定于应用程序的运行时管理框架
可编程多核和多核平台为每个应用程序提供了足够的任务并行性,从而成倍地增加了任务映射和调度的挑战。在处理诸如嵌入式芯片系统之类的小型生态系统时,这个问题会变得更糟。实际上,在这种情况下,利用传统操作系统的假设已经脱离了上下文,因为可用内存可以满足这种配置的运行时占用空间。
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