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Quality of Service Driven Runtime Resource Allocation in Reconfigurable HPC Architectures

机译:可重构HPC架构中服务质量驱动的运行时资源分配

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摘要

Heterogeneous System Architectures (HSA) are gaining importance in the High Performance Computing (HPC) domain due to increasing computational requirements coupled with energy consumption concerns, which conventional CPU architectures fail to effectively address. Systems based on Field Programmable Gate Array (FPGA) recently emerged as an effective alternative to Graphical Processing Units (GPUs) for demanding HPC applications, although they lack the abstractions available in conventional CPU-based systems. This work tackles the problem of runtime resource management of a system using FPGA-based co-processors to accelerate multi-programmed HPC workloads. We propose a novel resource manager able to dynamically vary the number of FPGAs allocated to each of the jobs running in a multi-accelerator system, with the goal of meeting a given Quality of Service metric for the running jobs measured in terms of deadline or throughput. We implement the proposed resource manager in a commercial HPC system, evaluating its behavior with representative workloads.
机译:异构系统体系结构(HSA)在高性能计算(HPC)领域中正变得越来越重要,这是因为计算需求不断增加,加上能耗问题,而常规CPU体系结构无法有效解决这些问题。基于现场可编程门阵列(FPGA)的系统最近成为要求苛刻的HPC应用程序的有效替代图形处理单元(GPU)的系统,尽管它们缺乏常规基于CPU的系统中可用的抽象。这项工作解决了使用基于FPGA的协处理器来加速多程序HPC工作负载的系统的运行时资源管理的问题。我们提出了一种新颖的资源管理器,该资源管理器能够动态更改分配给在多加速器系统中运行的每个作业的FPGA数量,目的是满足根据期限或吞吐量衡量的运行作业的给定服务质量指标。我们在商业HPC系统中实施建议的资源管理器,并用代表性的工作负载评估其行为。

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