Software-Shaped Platforms

Software-Shaped Platforms
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软件型平台

DOI:
10.1145/3576914.3587546
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发表时间:
2023
期刊:
2nd Workshop on Real-time Intelligent Edge Computing (RAGE'23
影响因子:
--
通讯作者:
Athanassoulis, Manos
Athanassoulis, Manos
中科院分区:
--
文献类型:
--
作者:
Mancuso, Renato;Roozkhosh, Shahin;Hoornaert, Denis;Mun, Ju Hyoung;Papon, Tarikul Islam;Athanassoulis, Manos

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本文概述了一种新型软件型平台(简称 SOSH 平台)的愿景,该平台可以在商业 CPU+FPGA 平台中实现。 SOSH 范例的核心思想是对嵌入式片上系统 (SoC) 中的硬件组件之间交换的数据流进行直接控制。数据流操作原语在可重新编程的硬件中合成,并插入到中央处理器、内存模块和 I/O 设备之间。然后引入新的系统软件层来利用这些原语并实现对 SoC 资源交互的细粒度控制和内省。通过将内存和 I/O 数据流转变为可管理的实体,可以在复杂系统中实现新程度的内部感知。我们首先回顾最近的工作,这些工作与可以部署在 SOSH 平台中的数据流操作原语的概念非常一致。接下来,我们概述了未来的研究途径,涉及使用 SOSH 范式进行工作负载分析和预测、实施高级内存模型以及执行安全威胁识别和缓解。
This paper outlines the vision for a new type of software-shaped platforms, or SOSH platforms for short, that can be implemented in commercial CPU+FPGA platforms. At the core of the SOSH paradigm is the idea of exposing direct control over the flow of data exchanged between hardware components in embedded System-on-Chips (SoC). Data flow manipulation primitives are synthesized in reprogrammable hardware and interposed between central processors, memory modules, and I/O devices. A new layer of system software is then introduced to leverage such primitives and to achieve fine-grained control and introspection over the interaction of SoC resources. By turning memory and I/O data flows into manageable entities, a new degree of internal awareness can be achieved in complex systems. We first review recent works that are well aligned with the concept of data flow manipulation primitives that can be deployed in SOSH platforms. Next, we outline future research avenues concerning the use of the SOSH paradigm for workload profiling and prediction, to implement advanced memory models, and to perform security threat identification and mitigation.
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