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相关概念视频

Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Mass Analyzers: Overview01:13

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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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Signal Flow Graphs01:18

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Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
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Block Diagram Reduction01:22

Block Diagram Reduction

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The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
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Synthesis and decomposition are two types of redox reactions. Synthesis means to make something, whereas decomposition means to break something. The reactions are accompanied by chemical and energy changes. 
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GAHLS:一个基于优化图形分析的高层合成框架.

Yao Xiao1, Shahin Nazarian1, Paul Bogdan2

  • 1University of Southern California, Los Angeles, CA, 90089, USA.

Scientific reports
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PubMed
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一个新的基于图形分析的高层合成 (GAHLS) 框架优化了复杂程序的硬件. 这种方法显著提高了诸如深度学习和脑机界面等应用程序的性能.

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科学领域:

  • 计算机工程 计算机工程
  • 硬件加速器 硬件加速器
  • 算法优化的算法优化

背景情况:

  • 在自主系统,机器人和边缘计算中对车载智能的需求日益增加,需要具有可重新配置的高效专用硬件.
  • 当前的系统面临着平衡低延迟,高计算能力和低能耗的挑战,以完成复杂的数据科学任务.

研究的目的:

  • 为优化硬件加速器提出基于图形分析的高层次合成 (GAHLS) 框架.
  • 为了高效地分析复杂的高级程序,并将其合成为传递消息的域特定加速器.

主要方法:

  • 从LLVM IR构建一个编译器辅助的依赖图 (CaDG),并将其转换为硬件友好的表示.
  • 执行基于CaDG属性的内存设计空间探索和优化更高带宽.
  • 在CaDG中识别和汇总类似的计算结构,使其成为智能处理集群,以优化硬件资源利用.

主要成果:

  • 该GAHLS框架将压缩,专业化的CaDG合成处理元素,优化系统性能和面积.
  • 对现实应用的评估,包括深度学习和脑机界面,显示出显著的改进.
  • 与LegUp 6.2.2.等最先进的方法相比,演示了14.27倍的性能提升.

结论:

  • 该GAHLS框架提供了一个强大的方法,用于设计高效的硬件加速器,以满足苛刻的计算任务.
  • 这种方法有效地解决了先进计算系统中低延迟,高计算和低功耗内置智能的需求.
  • 该框架通过图形分析和合成优化硬件的能力,比现有解决方案提供了实质性的性能飞跃.