论文标题
沙丘数据采集系统的持续记忆的经验和性能
Experience and performance of persistent memory for the DUNE data acquisition system
论文作者
论文摘要
新兴的高性能存储技术正在开辟设计新的分布式数据采集系统体系结构的可能性，在该架构中，数据的实时采集及其处理通过存储元素解耦。这些技术的一个示例是3DXPOINT，它有望填补内存和传统存储之间的空白，并为数据持久性提供前所未有的高通量。 在本文中，我们表征了在数据采集系统的背景下为一个大型粒子物理实验Dune的持续记忆设备的性能，该记忆设备使用3DXPOINT技术。该实验必须能够在特定的信号下存储传入的数据长达100秒，吞吐量为1.5 tb/s，总尺寸为150 tb。设备的模块化性质允许将问题分为150个同一单元，并以10 GB/s的形式分配。目标是能够将单个CPU专用于每个单元以进行数据采集和存储。
Emerging high-performance storage technologies are opening up the possibility of designing new distributed data acquisition system architectures, in which the live acquisition of data and their processing are decoupled through a storage element. An example of these technologies is 3DXPoint, which promises to fill the gap between memory and traditional storage and offers unprecedented high throughput for data persistency. In this paper, we characterize the performance of persistent memory devices, which use the 3DXPoint technology, in the context of the data acquisition system for one large Particle Physics experiment, DUNE. This experiment must be capable of storing, upon a specific signal, incoming data for up to 100 seconds, with a throughput of 1.5 TB/s, for an aggregate size of 150 TB. The modular nature of the apparatus allows splitting the problem into 150 identical units operating in parallel, each at 10 GB/s. The target is to be able to dedicate a single CPU to each of those units for data acquisition and storage.
