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Designing MPSoC platforms for throughput constrained applications with multiple use-cases

机译:为具有多个用例的吞吐量受限的应用程序设计MPSoC平台

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The number of applications executing on multimedia systems is increasing every year. These applications execute in different combinations, known as use-cases. Each application may require guarantees on its performance. Ensuring that all applications meet their throughput requirements in all use-cases with minimum silicon area is a design challenge. In this paper, we present a novel heuristic algorithm that can design MPSoC platforms and map tasks of multiple applications onto this platform while satisfying the throughput constraints of these applications. Our algorithm tries to achieve this goal with minimum hardware area. It exploits the mutual exclusion conditions for concurrent execution of applications, as specified with the use-cases, and allows sharing of resources between multiple applications. There are a number of other techniques (load balancing etc.) that also save resources by sharing them but the feature that distinguishes our work from other related techniques is the fact that in minimization of hardware resources, we not only optimize the computation resources but also optimize the memory and buffer requirements in the interconnect.
机译:多媒体系统上执行的应用程序的数量每年都在增加。这些应用程序以不同的组合(称为用例)执行。每个应用程序都可能要求对其性能进行保证。确保所有应用程序在所有用例中都以最小的硅面积满足其吞吐量要求是一项设计挑战。在本文中,我们提出了一种新颖的启发式算法,该算法可以设计MPSoC平台并将多个应用程序的任务映射到该平台上,同时满足这些应用程序的吞吐量约束。我们的算法试图以最小的硬件面积实现这一目标。它利用用例指定的互斥条件来并发执行应用程序,并允许在多个应用程序之间共享资源。还有许多其他技术(负载平衡等)也可以通过共享资源来节省资源,但是使我们的工作与其他相关技术不同的功能是,在最大限度地减少硬件资源的同时,我们不仅优化了计算资源,而且优化互连中的内存和缓冲区要求。

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