CSR: Medium: Modeling and synthesis for application-specific systems-on-a-chip

CSR：中：特定应用片上系统的建模和综合

• 批准号: 1563652
• 负责人: Frank Vahid
• 金额: $ 100万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1563652&HistoricalAwards=false
• 关键词: CSR; Medium; Modeling; synthesis; application

Popular electronic devices such as e-book readers, automotive entertainment systems, digital TVs, and medical devices, are internally powered by a state-of-the-art computer chip. Such a chip may have hundreds of components, including many microprocessors, graphics processors, video processors, audio processors, memories, and more. Just a few decades ago, so many components would have required a table-sized box, but today they fit on a tiny fingernail-sized chip. Because such a chip costs tens of millions of dollars to build, companies that build these chips make them as configurable as possible, so the same chip that is used in a digital TV application may also be used in a medical device application. However, engineers have a hard time setting all the configurable features to get the chip's performance and power optimal for their specific application. The features are like the ingredients of a recipe; an imperfect balance can ruin the performance/power (or the meal). As a result, today's chips run much slower than they could, get hotter, and consume more battery than they could as well. This project's intellectual merit includes developing techniques to automatically tune a state-of-the-art chip's many configurable features to serve any one particular application well, thus substantially improving performance and power for any application implemented on such a chip. The project will develop a unified computation model that ideally supports such techniques, empowering engineers to make best use of state-of-the-art chips. The project's broader impacts not only include improving the performance and power of a wide variety of popular devices, but also includes a web-based tool for capturing the unified computation model. Such a tool will positively impact university education as well as practicing engineers, and can catalyze research.

流行的电子设备，例如电子书阅读器，汽车娱乐系统，数字电视和医疗设备，由最先进的计算机芯片提供动力。这样的芯片可能具有数百个组件，包括许多微处理器，图形处理器，视频处理器，音频处理器，记忆等。仅仅几十年前，许多组件就需要一个桌子盒子，但是今天它们适合一个小指甲大小的芯片。由于这样的芯片要花费数千万美元，因此建造这些芯片的公司使它们尽可能可配置，因此在医疗设备应用程序中也可以使用数字电视应用程序中使用的相同芯片。但是，工程师很难设置所有可配置的功能，以使芯片的性能和功率最佳的功能最佳。这些功能就像食谱的成分一样；不完美的平衡会破坏性能/力量（或餐点）。结果，今天的芯片运行速度要慢得多，要变热，并且消耗的电池量也比他们的电池还要多。该项目的智力优点包括开发技术，以自动调整最先进的芯片的许多可配置功能，以便为任何一个特定的应用程序服务，从而为在此类芯片上实现的任何应用程序提供了实质上提高性能和功能。该项目将开发一个统一的计算模型，该模型理想地支持此类技术，从而使工程师能够充分利用最先进的芯片。该项目的更广泛的影响不仅包括提高各种流行设备的性能和功能，还包括一种基于网络的工具来捕获统一的计算模型。这样的工具将对大学的教育以及实践工程师产生积极影响，并可以催化研究。