XPS:DSD:Synthesizing Domain Specific Systems

XPS:DSD:综合领域特定系统

• 批准号: 1337375
• 负责人: Oyekunle Olukotun
• 金额: $ 26万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1337375&HistoricalAwards=false
• 关键词: XPS; DSD; Synthesizing; Domain; Specific

Information technology is now a major catalyst for innovation across all aspects of human endeavor. Hence, it is vital to maintain the exponential performance growth of computing devices that has been the key enabler for information technology advances for more than four decades. In the past, semiconductor technology provided us with increasing transistor densities and decreasing power supplies, allowing us to improve performance without increasing energy consumption. However, the lack of power supply scaling in current and future technologies has made all computing systems energy limited. Improving energy efficiency is a defining challenge and the prerequisite to increasing the capabilities of all computing systems, from smartphones to warehouse-scale data-centers. The goal of this project is to enable cost-effective customized computing by bridging the gap between high-level application development and the design of specialized hardware for energy efficient computing. Specialization is the prevailing approach for energy efficient computing, as customized units can eliminate the energy overheads of general-purpose cores. However, the complexity of designing and managing customized hardware is currently limiting the benefits from specialization to high-volume, slowly evolving applications. We will create domain specific synthesis tools that, given an application written in an easy-to-use, domain-specific programming language, will generate domain or application specific hardware: compute units and memory systems. The core of our approach to domain specific synthesis is a combination of domain specific languages to capture high-level application information, domain-specific optimization, parallelism and locality optimization, and hardware generation from parallelism and locality patterns.

信息技术现在是人类努力各个方面创新的主要催化剂。因此，维持计算设备的指数性能增长至关重要，这是信息技术进步已有40多年的关键推动力。过去，半导体技术为我们提供了增加的晶体管密度和降低的电源，从而使我们能够提高性能而不会增加能源消耗。但是，当前和将来的技术缺乏电源规模，使所有计算系统能源有限。提高能源效率是一个定义的挑战，也是增加从智能手机到仓库规模数据中心的所有计算系统功能的前提。该项目的目的是通过弥合高级应用程序开发与设计用于节能计算的专业硬件之间的差距来实现具有成本效益的定制计算。专业化是节能计算的流行方法，因为定制单元可以消除通用核心的能量开销。但是，设计和管理自定义硬件的复杂性目前限制了从专业化到大批量，缓慢发展的应用程序的好处。我们将创建特定域的合成工具，并给定使用易于使用的，特定于域的编程语言编写的应用程序，将生成域或应用程序特定的硬件：计算单元和内存系统。我们采用域特定综合方法的核心是域特定语言的组合，以捕获高级应用程序信息，特定于领域的优化，并行性和局部优化以及从并行性和局部性模式中生成硬件。