Development of VLSI Processor Chip Family for Highly-Safe Intelligent Vehicles Based on Optimal Design Mythologies

基于优化设计神话的高安全智能汽车VLSI处理器芯片系列开发

基本信息

批准号：
12555119
负责人：
KAMEYAMA Michitaka
金额：
$ 4.61万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2002
项目状态：
已结题

项目摘要

Intelligent vehicle applications are expected to be one of promising future system LSI applications. If these applications become realistic, any real-worldapplications will be posslit1e. As typical case studies, intelligent vehicle applications are useful to develop a high-level synthesis methology of system LSI. From the point of view, the following technologies are studied1. VLSI chip family for intelligent vehiclesThe highest performance VLSI chip family is developed for highly-safe intelligent vehicles. These are VLSI processors for stereo vision, optical-flow extraction, path planning and trajectory perdition based on probabilistic inference. These VLSI-oriented algorithms are also discussed to reduce the computational complexity. Moreover, a high-performance field-programmable VLSI which is very superior to the conventional FPGAS is developed2. System integration and intelligent algorithmsSensing of environment information and prediction of the dynamic change are very important t … More echnologies to realize real-world applications. A system integration methology is developed considering measurement and prediction errors. The condition of a sampling period is discussed based on a real-world signal processing model.3. Design theory of VLSI processorsOne of the most serious problems in recent VLSI systems is large delay due to interconnection complexity between memories and processing elements. To solve the problem, a parallel processing module composed of a processing element and a local memory is defined as a basic building block to make interconnection delay as small as possible. Still, there exists propagation delay for data transfer between the modules. A high-level synthesis method considering the data transfer time is discussed on the hardware model, when a data-dependency graph corresponding to a processing algorithm is given. We must simultaneously consider both scheduling and allocation for the time optimization problem under a constraint of achip area. A branch and bound method and a genetic algorithm are effectively employed to find an optimum solution. Extension of the above methologies is also considered to solve the following general problems・Minimization of processing under chip area constraint・Minimization of chip area under processing time constraint・Minimization of dissipation energy under processing time and chip area constraint Less

智能车辆的应用预计将是Promise Future System LSI应用程序之一。如果这些应用程序变得现实，那么任何现实世界的应用程序都将在1E之后进行。作为典型的案例研究，智能车辆应用对于开发系统LSI的高级合成方法很有用。从角度来看，以下技术是研究。 VLSI CHIP家族用于智能车辆最高性能VLSI CHIP家族是为高度安全的智能车辆开发的。这些是基于概率推断的VLSI处理器，用于立体声视觉，光流提取，路径计划和轨迹灭绝。还讨论了这些面向VLSI的算法以降低计算复杂性。此外，开发了比常规FPGA的高性能野外可编程VLSI2。系统集成和智能算法对环境信息信息和动态变化的预测非常重要……更经济学来实现现实世界的应用。考虑测量和预测错误，开发了系统集成方法。采样周期的状况是根据现实信号处理模型讨论的。3。 VLSI处理器的设计理论在最近的VLSI系统中最严重的问题是由于记忆和处理元素之间的互连复杂性，因此很大的延迟。为了解决问题，由处理元件和本地内存组成的并行处理模块定义为基本构建块，以使互连延迟尽可能小。尽管如此，仍然存在模块之间数据传输的传播延迟。考虑到与处理算法相对应的数据依赖性图时，在硬件模型上讨论了一个高级合成方法。我们必须简单地考虑在ACHIP区域的限制下的时间优化问题的调度和分配。有效地采用了分支和结合方法和遗传算法来找到最佳解决方案。还考虑了上述方法的扩展来解决以下一般问题・芯片面积下的加工最小化・处理时间限制下芯片面积的最小化最小