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  • pdf文档 C++ Exceptions for Smaller Firmware

    C++ Exceptions for Smaller Firmware By: Khalil Estell (@kammce)@kammce Graduated 2017 from SJSU Ex-Googler (~6y) Volunteer @ SJSU ISO C++ Committee Member 2Motivation 345Microcontroller Constraints: exceptions?85 "Its a shame embedded devs don't use exceptions… It would make their binaries smaller."My Hypothesis ● Cost of using result types: S(N) = aN ○ a = average cost of a check per call NOTE: Assuming the average if 8-bytes per check w/ return path 205How does C++ exceptions enable smaller binaries? ● Reduced codegen when calling fallible functions. ● The unwind information scales with
    0 码力 | 237 页 | 6.74 MB | 5 月前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 3 - Learning Techniques

    environments like mobile and edge devices where they provide the flexibility to trade off some quality for smaller footprints. In the first chapter, we briefly introduced learning techniques such as regularization samples and labels, distillation transfers knowledge from a large model or ensemble of models to smaller models. The obvious question at this point is: why are we talking about them in the same breadth samples. If you have a training process that enables the child to reach the same accuracy by seeing a smaller number of samples, that process would be sample efficient. Similarly, a sample efficient model training
    0 码力 | 56 页 | 18.93 MB | 1 年前
    3
  • pdf文档 MITRE Defense Agile Acquisition Guide - Mar 2014

    reduce cycle times and risks to deliver IT in a complex environment. “The US joint force will be smaller and leaner. But its great strength will be that it will be more agile, more flexible, ready to development approach or is unfamiliar with Agile practices.8 Breaking large requirements into smaller iterations and working in small teams can help build agility into a program, whether or not the development to deliver the highest priority capabilities to the user with each release. Moreover, smaller scale development efforts inherently carry less risk, permitting a lightweight approach to documentation
    0 码力 | 74 页 | 3.57 MB | 5 月前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 4 - Efficient Architectures

    we will deepdive into their architectures and use them to transform large and complex models into smaller and efficient models capable of running on mobile and edge devices. We have also set up a couple architectures. Let’s start our journey with learning about embeddings in the next section. Embeddings for Smaller and Faster Models We humans can intuitively grasp similarities between different objects. For instance It is expensive to learn an embedding for every possible token, so we limit our vocabulary to a smaller subset using heuristics like the top N most-frequent words in the corpus. It is often straightforward
    0 码力 | 53 页 | 3.92 MB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 5 - Advanced Compression Techniques

    Pruning refers to the technique of removing (pruning) weights during the model training to achieve smaller models. Such models are called sparse or pruned models. The simplest form of pruning is to zero out sparsified weight matrix size. As shown in the output below, the sparsified compressed matrix is smaller than the regular compressed matrix by nearly 50%. weights = np.random.normal(size=(100, 100)).astype(np figure also shows compressed size comparisons for their TFLite variants. The sparse models are 27% smaller than the regular models. We would recommend the readers to try this experiment with even higher sparsity
    0 码力 | 34 页 | 3.18 MB | 1 年前
    3
  • pdf文档 Express Your Expectations: A Fast, Compliant JSON Pull Parser for Writing Robust Applications

    algorithms Pro: Composition of smaller building blocks. Jonathan Müller — @foonathan Express your expectations CppCon 2023-10-03 342. C++98 algorithms Pro: Composition of smaller building blocks. Con: Intermediate @foonathan Express your expectations CppCon 2023-10-03 342. C++98 algorithms Pro: Composition of smaller building blocks. Con: Intermediate allocations. Con: Eager computation. Jonathan Müller — @foonathan iteration Pro: Composition of smaller building blocks. Jonathan Müller — @foonathan Express your expectations CppCon 2023-10-03 403. Internal iteration Pro: Composition of smaller building blocks. Pro: Lazy
    0 码力 | 143 页 | 736.91 KB | 5 月前
    3
  • pdf文档 Blender v2.92 参考手册(繁体中文版)

    realities of the time. This over-extension resulted in restarting NaN with new investor funding and a smaller company in April 2001. Six months later NaN's first commercial software product, Blender Publisher reveal the return icon. Regions Every Editor in Blender is divided into Regions. Regions can have smaller structuring elements like tabs and panels with buttons, controls and widgets placed within them. not required. 屬性 Label Size Font size of the label. For example, for subordinate frames to have smaller titles. Shrink Once a node is placed in the Frame, the Frame shrinks around it so as to remove
    0 码力 | 3966 页 | 203.00 MB | 1 年前
    3
  • pdf文档 Blender v2.93 Manual

    realities of the time. This over-extension resulted in restarting NaN with new investor funding and a smaller company in April 2001. Six months later NaN’s first commercial software product, Blender Publisher reveal the return icon. Regions Every Editor in Blender is divided into Regions. Regions can have smaller structuring elements like tabs and panels with buttons, controls and widgets placed within them. required. Properties Label Size Font size of the label. For example, for subordinate frames to have smaller titles. Shrink Once a node is placed in the Frame, the Frame shrinks around it so as to remove
    0 码力 | 3962 页 | 201.40 MB | 1 年前
    3
  • mobi文档 Computer Programming with the Nim Programming Language

    operations on numbers, such as adding two numbers or determining whether one number is larger or smaller than another. Most computer CPUs can only store a limited number of values internally, which are of all these solved sub- tasks. However, it is not always possible to split large problems into smaller sub-tasks. Digital computers usually operate based on a clock signal that pulses at a certain frequency; being essentially an improved C, provides no overhead to C libraries and might generate even smaller executables. For some "professional" programmers, Nim’s use of significant white space instead
    0 码力 | 865 页 | 7.45 MB | 1 年前
    3
  • epub文档 Computer Programming with the Nim Programming Language

    operations on numbers, such as adding two numbers or determining whether one number is larger or smaller than another. Most computer CPUs can only store a limited number of values internally, which are of all these solved sub- tasks. However, it is not always possible to split large problems into smaller sub-tasks. Digital computers usually operate based on a clock signal that pulses at a certain frequency; being essentially an improved C, provides no overhead to C libraries and might generate even smaller executables. For some "professional" programmers, Nim’s use of significant white space instead
    0 码力 | 784 页 | 2.13 MB | 1 年前
    3
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