07 FPGA 助力Python加速计算 陈志勇如何实现算法加速 FPGA 基本架构 9 赛灵思 Zynq UltraScale+ MPSoC (16nm SOC 芯片) Ø 是一种从 C -> RTL 语言的转换工具 Ø 全面覆盖 C、C++、OpenCL,能够进行浮点运算和任意精度浮点运算 Ø 可以输出 Verilog和 VHDL代码 Ø 可以通过制定约束 (Directive) 来提高运算性能和优化资源利用率 Ø 从算法验证到硬件实现的自动化工作流程 the embedded processors and the overlays. Python is a “productivity-level” language. To date, C or C++ are the most common, embedded programming languages. In contrast, Python raises the level of programming environment should be used, and whenever efficiency dictates, lower-level C code can be used. 解释: Ø C/ C++ 统治了嵌入式编程 Ø PYNQ 框架支持 Cpython,支持 C library,C code PYNQ 是如何加速 Python 设计效率的 – con’t 15 PYNQ is an open-source0 码力 | 34 页 | 6.89 MB | 1 年前3
2_FPGA助力Python加速计算_陈志勇Processor ARM Mali-400MP2 Memory Subsystem High Bandwidth Low Latency Ø 是一种从 C -> RTL 语言的转换工具 Ø 全面覆盖 C、C++、OpenCL,能够进行浮点运算和任意精度浮点运算 Ø 可以输出 Verilog和 VHDL代码 Ø 可以通过制定约束 (Directive) 来提高运算性能和优化资源利用率 Ø 从算法验证到硬件实现的自动化工作流程 the embedded processors and the overlays. Python is a “productivity-level” language. To date, C or C++ are the most common, embedded programming languages. In contrast, Python raises the level of programming environment should be used, and whenever efficiency dictates, lower-level C code can be used. 解释: Ø C/ C++ 统治了嵌入式编程 Ø PYNQ 框架支持 Cpython,支持 C library,C code PYNQ 是如何加速 Python 设计效率的 – con’t 15 PYNQ is an open-source0 码力 | 33 页 | 8.99 MB | 1 年前3
FPGA助力Python加速计算 陈志勇 Processor ARM Mali-400MP2 Memory Subsystem High Bandwidth Low Latency ➢ 是一种从 C -> RTL 语言的转换工具 ➢ 全面覆盖 C、C++、OpenCL,能够进行浮点运算和任意精度浮点运算 ➢ 可以输出 Verilog和 VHDL代码 ➢ 可以通过制定约束 (Directive) 来提高运算性能和优化资源利用率 ➢ 从算法验证到硬件实现的自动化工作流程 the embedded processors and the overlays. Python is a “productivity-level” language. To date, C or C++ are the most common, embedded programming languages. In contrast, Python raises the level of programming environment should be used, and whenever efficiency dictates, lower-level C code can be used. 解释: ➢ C/ C++ 统治了嵌入式编程 ➢ PYNQ 框架支持 Cpython,支持 C library,C code PYNQ 是如何加速 Python 设计效率的 – con’t 15 PYNQ is an open-source0 码力 | 34 页 | 4.19 MB | 1 年前3
PyArmor Documentation v8.1.9installing packages from PyPI [https://pypi.python.org/pypi/] is pip. This tool is provided with all modern versions of Python. On Linux or MacOS, you should open your terminal and run the following command: installing packages from PyPI [https://pypi.python.org/pypi/] is pip. This tool is provided with all modern versions of Python. On Linux or MacOS, you should open your terminal and run the following command: Pyarmor by converting Python functions to C functions extension module A module written in C or C++, using Python’s C API to interact with the core and with user code. Build Machine The device in which0 码力 | 131 页 | 111.00 KB | 1 年前3
Objeet Oriented Python
TutorialDownload link https://atom.io/ OOP in Python 14 Screenshot Languages Supported C/C++, C#, CSS, CoffeeScript, HTML, JavaScript, Java, JSON, Julia, Objective-C, PHP, Perl, Python, Ruby different arguments. Language Supported Almost every language (60+ languages) like Python, C, C++, C#, Java etc. OOP in Python 17 Python data structures are very intuitive >>> topics.add('C++') >>> topics {'C#', 'C++', 'Java', 'Python'} >>> >>> #union(s) Method, returns a union of two set. OOP in Python 25 >>> topics {'C#', 'C++', 'Java', 'Python'}0 码力 | 111 页 | 3.32 MB | 1 年前3
PyArmor Documentation v8.5.10installing packages from PyPI [https://pypi.python.org/pypi/] is pip. This tool is provided with all modern versions of Python. On Linux or MacOS, you should open your terminal and run the following command: installing packages from PyPI [https://pypi.python.org/pypi/] is pip. This tool is provided with all modern versions of Python. On Linux or MacOS, you should open your terminal and run the following command: Pyarmor by converting Python functions to C functions extension module A module written in C or C++, using Python’s C API to interact with the core and with user code. Build Machine The device in which0 码力 | 193 页 | 154.05 KB | 1 年前3
Python 标准库参考指南 2.7.18 (例如 C.f()) 也可以在实例上进行 (例如 C().f())。其所属类以外的 类实例会被忽略。如果类方法在其所属类的派生类上调用,则该派生类对象会被作为隐含的第一个参 数被传入。 类方法与 C++ 或 Java 中的静态方法不同。如果你需要后者,请参阅staticmethod()。 想了解更多有关类方法的信息,请参阅 types 。 2.2 新版功能. 在 2.4 版更改: Function Functions There are several built-in functions that are no longer essential to learn, know or use in modern Python programming. They have been kept here to maintain backwards compatibility with programs written 5 and an early Bag recipe for Python 2.4. • Bag class 在 Smalltalk。 • Wikipedia 链接 Multisets. • C++ multisets 教程和例子。 • 数学操作和多集合用例,参考 Knuth, Donald. The Art of Computer Programming Volume II, Section0 码力 | 1552 页 | 7.42 MB | 9 月前3
Python 标准库参考指南 2.7.18 (例如 C.f()) 也可以在实例上进行 (例如 C().f())。其所属类以外的 类实例会被忽略。如果类方法在其所属类的派生类上调用,则该派生类对象会被作为隐含的第一个参 数被传入。 类方法与 C++ 或 Java 中的静态方法不同。如果你需要后者,请参阅staticmethod()。 想了解更多有关类方法的信息,请参阅 types 。 2.2 新版功能. 在 2.4 版更改: Function Functions There are several built-in functions that are no longer essential to learn, know or use in modern Python programming. They have been kept here to maintain backwards compatibility with programs written 5 and an early Bag recipe for Python 2.4. • Bag class 在 Smalltalk。 • Wikipedia 链接 Multisets. • C++ multisets 教程和例子。 • 数学操作和多集合用例,参考 Knuth, Donald. The Art of Computer Programming Volume II, Section0 码力 | 1552 页 | 7.42 MB | 9 月前3
Python 标准库参考指南 2.7.18 (例如 C.f()) 也可以在实例上进行 (例如 C().f())。其所属类以外的 类实例会被忽略。如果类方法在其所属类的派生类上调用,则该派生类对象会被作为隐含的第一个参 数被传入。 类方法与 C++ 或 Java 中的静态方法不同。如果你需要后者,请参阅staticmethod()。 想了解更多有关类方法的信息,请参阅 types 。 2.2 新版功能. 在 2.4 版更改: Function Functions There are several built-in functions that are no longer essential to learn, know or use in modern Python programming. They have been kept here to maintain backwards compatibility with programs written 5 and an early Bag recipe for Python 2.4. • Bag class 在 Smalltalk。 • Wikipedia 链接 Multisets. • C++ multisets 教程和例子。 • 数学操作和多集合用例,参考 Knuth, Donald. The Art of Computer Programming Volume II, Section0 码力 | 1552 页 | 7.42 MB | 9 月前3
Scrapy 2.6 Documentationmethod requires “Microsoft Visual C++” for installing some Scrapy dependencies, which demands significantly more disk space than Anaconda. 1. Download and execute Microsoft C++ Build Tools to install the Visual Workloads section, select C++ build tools. 4. Check the installation details and make sure following packages are selected as optional components: • MSVC (e.g MSVC v142 - VS 2019 C++ x64/x86 build tools (v14 Reppy parser Based on Reppy: • is a Python wrapper around Robots Exclusion Protocol Parser for C++ • is compliant with Martijn Koster’s 1996 draft specification • supports wildcard matching • uses0 码力 | 384 页 | 1.63 MB | 1 年前3
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