ITR: Reconfigurable Fabric

正如摩尔定律所预言的那样，由于硅基电子技术的不断发展，计算、存储和通信现在已经融入了我们的生活。 新兴的柔性电子技术，其中电子元件，如晶体管和电线是建立在薄的柔性材料上的，提供了类似的机会，将计算，存储和通信编织到我们穿的衣服的织物中。 无缝集成大量通信计算和存储资源，与传感器和执行器配合，靠近人体的影响将改变生物医学研究和实践的许多方面。例如，在生物医学应用中，生物识别和环境传感器被编织到病人或处于医学关键或危险环境中的人的衣服中，以触发或调节药物的输送。为了在实验室之外实现这一愿景，需要在系统级信息技术领域进行彻底的创新。如果将这些系统简单地视为基于不同、灵活外形的传统芯片或主板，则它们将无法扩展到广泛使用。相反，需要重新思考这些系统所有层的架构和设计方法。原因有两方面。首先，柔性材料电子产品的基础技术具有与硅和PCB电子产品非常不同的特性和计算-通信成本权衡。第二，这些系统的自然应用具有环境动态性、物理耦合、资源约束、基础设施支持和鲁棒性要求，这些要求与传统系统所面临的要求非常不同。为这些系统开发所需的信息技术体系结构和设计方法的挑战之一是，需要进行实验工作，并对问题域进行概念性理解。本研究研究：适用范围：使用可重新配置结构（R-Fabric）作为驱动器应用能力，该结构基于（i）使用有机材料的柔性电子技术和（ii）实现为E-Fabric的计算、通信和传感元件的组合。架构：开发通用架构概念和成本/性能优化技术。我们将重点关注的问题将包括（i）适当的原语组成的架构，（ii）系统互连网络优化的有机电子的电气特性，（iii）技术，以科普高比例的通信计算成本，和（iv）架构级的自我配置和重新配置的鲁棒操作。编程：开发技术和原语，用于对由数百个计算，存储，传感和驱动元件组成的系统进行编程，这些元件单独受到资源约束，并通过结构化但易于故障的高成本互连网络连接。处理器：设计方法：开发技术和混合仿真平台，用于这些系统的系统架构探索、仿真、优化和重新配置。

Because of the relentless march of the silicon-based electronics technology as predicted by Moore's Law, computation, storage, and communication are now woven into the fabrics of our lives. The emerging technology of flexible electronics, where electronics components such as transistors and wires are built on a thin flexible material, offers a similar opportunity to weave computation, storage, and communication into the fabric of the very clothing that we wear. The implications of seamlessly integrating a large number of communicating computation and storage resources, mated with sensors and actuators, in close proximity to the human body will transform many aspects of biomedical research and practice. For example, one can imagine biomedical applications where biometric and ambient sensors are woven into the garment of a patient or a person in a medically-critical or hazardous environment to trigger or modulate the delivery of a drug.To realize this vision outside the laboratory, radical innovation is required in the area of system-level information technology. These systems will not scale to widespread use if they are viewed simply as traditional chips or motherboards based on a different, flexible form factor. Rather, a rethinking of the architecture and the design methodology for all layers of these systems is needed. The reasons are two-fold. First, the underlying technology of electronics in flexible materials has characteristics and computation-communication cost trade-offs that are very different from that of silicon and PCB-based electronics. Second, the natural applications of these systems have environmental dynamics, physical coupling, resource constraints, infrastructure support, and robustness requirements that are very different from those faced by traditional systems. One of the challenges in developing the needed information technology architecture and design methodology for these systems is that one needs to both conduct experimental work and develop a conceptual understanding of the problem domain. This research studies: Application: Use as a driver application capability, reconfigurable fabric (R-Fabric) based on a combination of (i) the technology of flexible electronics using organic materials, and (ii) computing, communication, and sensing elements implemented as E-Buttons. Architecture: Develop the general architecture concepts and cost/performance optimization techniques. The issues that we will focus on will include (i) appropriate primitives for composing the architecture, (ii) system interconnect network optimized for the electrical characteristics of the organic electronics, (iii) techniques to cope with the high ration of communication to computation cost, and (iv) architecture level self-configuration and re-configuration for robust operation. Programming: Develop techniques and primitives for programming a system composed of hundreds of computation, storage, sensing, and actuation elements that are individually resource constrained and are connected by a structured but fault-prone high-cost interconnect network. Processors: Develop domain-specific processor architecture optimized for these power-constrained, physically coupled applications.Design Methodology: Develop techniques and hybrid emulation platform for systematic architecture exploration, simulation, optimization, and reconfiguration of these systems.