Tangram: Integrated Control of Heterogeneous Computers

Tangram: Integrated Control of Heterogeneous Computers
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Tangram:异构计算机的集成控制

DOI:
10.1145/3352460.3358285
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发表时间:
2019
期刊:
International Symposium on Microarchitecture
影响因子:
--
通讯作者:
Torrellas, Josep
Torrellas, Josep
中科院分区:
--
文献类型:
--
作者:
Pothukuchi, Raghavendra Pradyumna;Greathouse, Joseph L.;Rao, Karthik;Erb, Christopher;Piga, Leonardo;Voulgaris, Petros G.;Torrellas, Josep

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在使用来自不同供应商的子系统构建的异构计算机中,资源控制具有挑战性。在每个子系统中快速生成局部决策的需求与协调不同子系统以实现全局优化的愿望之间存在紧张关系。实际上,子系统之间的全局协调被认为是困难的,目前的商业系统使用集中控制器。由于缺乏模块化,其结果是高响应时间和高设计成本。为了有效地控制新兴的异构计算机,我们提出了一种新的控制框架,称为Tangram,它具有快速、全局协调和模块化的特点。Tangram引入了一种新的正式控制器,它结合了多个优化和安全引擎,并具有标准接口。为子系统构建控制器只需要了解该子系统。在装配异构计算机时,不同子系统中的控制器分层连接,交换标准的协调信号。为了演示Tangram,我们在一个异构服务器中对其进行原型化,我们使用来自多个供应商的组件进行组装。与最先进的控制相比,Tangram平均将异构应用程序的执行时间减少了31%,其能量延迟产品减少了39%。
Resource control in heterogeneous computers built with subsystems from different vendors is challenging. There is a tension between the need to quickly generate local decisions in each subsystem and the desire to coordinate the different subsystems for global optimization. In practice, global coordination among subsystems is considered hard, and current commercial systems use centralized controllers. The result is high response time and high design cost due to lack of modularity.To control emerging heterogeneous computers effectively, we propose a new control framework called Tangram that is fast, globally coordinated, and modular. Tangram introduces a new formal controller that combines multiple engines for optimization and safety, and has a standard interface. Building the controller for a subsystem requires knowing only about that subsystem. As a heterogeneous computer is assembled, the controllers in the different subsystems are connected hierarchically, exchanging standard coordination signals. To demonstrate Tangram, we prototype it in a heterogeneous server that we assemble using components from multiple vendors. Compared to state-of-the-art control, Tangram reduces, on average, the execution time of heterogeneous applications by 31% and their energy-delay product by 39%.
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