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A Hardware Task-Graph Scheduler for Reconfigurable Multi-tasking Systems

机译:可重新配置的多任务系统的硬件任务图调度程序

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Reconfigurable hardware can be used to build a multi-tasking system where tasks are assigned to HW resources at run-time according to the requirements of the running applications. These tasks are frequently represented as direct acyclic graphs and their execution is typically controlled by an embedded processor that schedules the graph execution. In order to improve the efficiency of the system, the scheduler can apply prefetch and reuse techniques that can greatly reduce the reconfiguration latencies. For a processor all these computations represent a heavy computational load that can significantly reduce the system performance. To overcome this problem we have implemented a HW scheduler using reconfigurablere sources. In addition we have implemented both prefetch and replacement techniques that obtain as good results as previous complex SW approaches, while demanding just a few clock cycles to carry out the computations. We consider that the HW cost of the system (in our experiments 3% of a Virtex-II PRO xc2vp30 FPGA) is affordable taking into account the great efficiency of the techniques applied to hide there configuration latency and the negligible run-time penalty introduced by the scheduler computations.
机译:可重新配置硬件可用于构建多任务系统,根据运行应用程序的要求,在运行时将任务分配给HW资源。这些任务通常表示为直接非循环图,并且它们的执行通常由嵌入式处理器控制,该处理器调度图形执行。为了提高系统的效率,调度程序可以应用预取和重用技术,可以大大减少重新配置延迟。对于处理器,所有这些计算都表示繁重的计算负载,可以显着降低系统性能。为了克服这个问题,我们使用重新配置来源实现了HW调度程序。此外,我们已经实现了预取和替换技术,这些技术作为以前的复杂SW方法获得的良好结果,同时要求几个时钟周期执行计算。我们认为系统的HW成本(我们的实验中的3%的Virtex-II Pro XC2VP30 FPGA)考虑到所应用的技术的巨大效率,以隐藏的配置延迟和所引入的可忽略的运行时间惩罚调度器计算。

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