SHF: Small: Workload Characterization and Benchmark Synthesis for Emerging Computing Systems

新兴计算系统的面貌正在迅速改变。一方面，电脑看起来比以往任何时候都小。智能手机只不过是一台袖珍电脑，它也有打电话的功能。另一方面，计算机比以往任何时候都要大，就像云计算服务器一样。这些云系统是分布式系统，具有大量的处理器、丰富的内存和磁盘、丰富的网络资源和带宽，并且规模巨大。该项目是针对新兴计算系统（如嵌入式计算机和云计算机）的工作负载表征和基准综合。这个项目的第一个组成部分是描述和理解新兴计算平台上的工作负载。嵌入式计算软件的特点在嵌入式Java或范式，如。. NET或Hadoop等云应用程序都没有得到很好的理解。下一代云服务器是应该使用简单的节能处理器，还是更强大的高性能处理器，目前还不清楚。我们项目的特征描述部分旨在理解这些问题。该项目的第二个组件由基准合成组成，用于创建与原始应用程序具有相同性能和能量特征但没有功能的工作负载代理。这些代理工作负载将实现高效的预硅设计探索和专有应用程序的共享。在更广泛的层面上，这项研究创造了一种机制，使硬件和软件开发人员能够在联合产品开发中进行合作，而不必担心知识产权的损失。它还在一个重要的研究领域培养了几名研究生和本科生，并影响了嵌入式和云计算的课程。

The face of emerging computing systems is changing rapidly. On one hand computers are looking smaller than ever. The smart phone is nothing but a pocket computer which also has the ability to make a phone call. On the other hand, computers are getting bigger than ever, as in a cloud computing server. These cloud systems are distributed systems with a large number of processors, abundant memory and disks and plentiful network resources and bandwidth, and are huge. This project is on workload characterization and benchmark synthesis for emerging computing systems such as the embedded computer and the cloud computer.The first component of this project consists in characterizing and understanding workloads on emerging computing platforms. Characteristics of embedded computing software in embedded Java or paradigms such as the .NET, or cloud applications such as Hadoop are not well-understood. It is also unclear whether next generation cloud servers should use simple energy efficient processors or more powerful processors geared towards performance. The characterization component of our project is geared towards understanding these issues. The second component of this project consists of benchmark synthesis to create workload proxies that have equivalent performance and energy characteristics as the original applications but without the functionality. These proxy workloads will enable efficient pre-silicon design exploration and sharing of proprietary applications.At a broader level, the research creates mechanisms that enable hardware and software developers to collaborate on joint product development without fear of loss of intellectual property. It also trains several graduate and undergraduate students in an important research area, and influences courses on embedded and cloud computing.