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Emerging Run-Time Reconfigurable FPGA and CAD Tools

机译:新兴的运行时可重配置FPGA和CAD工具

摘要

Field-programmable gate array (FPGA) is a post fabrication reconfigurable device to accelerate domain specific computing systems. It offers offer high operation speed and low power consumption. However, the design flexibility and performance of FPGAs are severely constrained by the costly on-chip memories, e.g. static random access memory (SRAM) and FLASH memory. The objective of my dissertation is to explore the opportunity and enable the use of the emerging resistance random access memory (ReRAM) in FPGA design.udThe emerging ReRAM technology features high storage density, low access power consumption, and CMOS compatibility, making it a promising candidate for FPGA implementation. In particular, ReRAM has advantages of the fast access and nonvolatility, enabling the on-chip storage and access of configuration data. In this dissertation, I first propose a novel three-dimensional stacking scheme, namely, high-density interleaved memory (HIM). The structure improves the density of ReRAM meanwhile effectively reducing the signal interference induced by sneak paths in crossbar arrays. To further enhance the access speed and design reliability, a fast sensing circuit is also presented which includes a new sense amplifier scheme and reference cell configuration.udThe proposed ReRAM FPGA leverages a similar architecture as conventional SRAM based FPGAs but utilizes ReRAM technology in all component designs. First, HIM is used to implement look-up table (LUT) and block random access memories (BRAMs) for func- tionality process. Second, a 2R1T, two ReRAM cells and one transistor, nonvolatile switch design is applied to construct connection blocks (CBs) and switch blocks (SBs) for signal transition. Furthermore, unified BRAM (uBRAM) based on the current BRAM architectureudivudis introduced, offering both configuration and temporary data storage. The uBRAMs provides extremely high density effectively and enlarges the FPGA capacity, potentially saving multiple contexts of configuration. The fast configuration scheme from uBRAM to logic and routing components also makes fast run-time partial reconfiguration (PR) much easier, improving the flexibility and performance of the entire FPGA system.udFinally, modern place and route tools are designed for homogeneous fabric of FPGA. The PR feature, however, requires the support of heterogeneous logic modules in order to differentiate PR modules from static ones and therefore maintain the signal integration. The existing approaches still reply on designers’ manual effort, which significantly prolongs design time and lowers design efficiency. In this dissertation, I integrate PR support into VPR – an academic place and route tool by introducing a B*-tree modular placer (BMP) and PR-aware router. As such, users are able to explore new architectures or map PR applications to a variety of FPGAs. More importantly, this enhanced feature can also support fast design automation, e.g. mapping IP core, loading pre-synthesizing logic modules, etc.
机译:现场可编程门阵列(FPGA)是制造后可重新配置的设备,用于加速特定于域的计算系统。它提供了高操作速度和低功耗。但是,FPGA的设计灵活性和性能受到昂贵的片上存储器(例如,高可用性)的严重限制。静态随机存取存储器(SRAM)和闪存。本文的目的是发掘机会并在FPGA设计中使用新兴的电阻随机存取存储器(ReRAM)。 ud新兴的ReRAM技术具有高存储密度,低访问功耗和CMOS兼容性,使其成为一种FPGA实现的有希望的候选人。特别是,ReRAM具有快速访问和非易失性的优势,可以在芯片上存储和访问配置数据。本文首先提出了一种新颖的三维堆叠方案,即高密度交错存储器(HIM)。该结构提高了ReRAM的密度,同时有效地减少了交叉开关阵列中的潜行路径引起的信号干扰。为了进一步提高访问速度和设计可靠性,还提出了一种快速感测电路,其中包括新的灵敏放大器方案和参考单元配置。 ud建议的ReRAM FPGA利用与传统基于SRAM的FPGA类似的架构,但在所有组件中均采用ReRAM技术设计。首先,HIM用于实现查找表(LUT)并阻塞用于功能处理的随机存取存储器(BRAM)。其次,采用2R1T,两个ReRAM单元和一个晶体管非易失性开关设计来构建连接块(CB)和开关块(SB),以进行信号转换。此外,基于当前BRAM架构 udiv udis引入了统一的BRAM(uBRAM),可提供配置和临时数据存储。 uBRAM有效地提供了极高的密度并扩大了FPGA的容量,从而潜在地节省了多个配置环境。从uBRAM到逻辑和布线组件的快速配置方案也使快速运行时部分重配置(PR)变得更加容易,从而提高了整个FPGA系统的灵活性和性能。 ud最后,现代布局和布线工具专为同类产品的结构而设计。 FPGA。但是,PR功能需要支持异构逻辑模块,以便将PR模块与静态模块区分开,从而保持信号集成。现有的方法仍然需要设计师的手动操作,从而大大延长了设计时间并降低了设计效率。在本文中,我通过引入B *树模块化布局器(BMP)和具有PR意识的路由器,将PR支持集成到VPR(一种学术布局和路由工具)中。这样,用户能够探索新的体系结构或将PR应用映射到各种FPGA。更重要的是,此增强功能还可以支持快速的设计自动化,例如映射IP内核,加载预合成逻辑模块等。

著录项

  • 作者

    Chen Yi-Chung;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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