Reasons for threading

最新推荐文章于 2024-09-27 08:29:20 发布
最新推荐文章于 2024-09-27 08:29:20 发布 · 180 阅读 · 0
文章标签：

#threading

本文探讨了在软件开发中高层级使用线程的两大原因：一是代码阻塞问题，即依赖于无法修改的同步代码；二是难以实现异步化的场景。通过理解这些原因可以帮助开发者更好地设计并行和并发程序。
[url]http://www.sagemath.org:9001/GlennTarbox/DsageNg[/url]

There are 2 reasons for threading at high levels:
1. Blocking on code which you can't change
2. Can't figure out how to make it asynchronous
pa8_Contract for Difference CFD Trading_Oanda_git_log return_Momentum Strategy_Leverage_margin_tpqoa
Linli522362242的专栏
08-23 2823
pa8_Contract for Difference CFD Trading_Oanda_git_log return_Momentum Strategy_Leverage_margin_tpqoa
【webrtc】Windows平台WebRTC编译-VS2022 - 官方m98分支
突围
03-05 2283
参考之前的dep_tools记录 一些webrtc的网站 native-code 官方构建指南 启用代理很关键，windows用set linux是export 过程 先安装dep_tools Microsoft Windows [版本 10.0.22000.493] (c) Microsoft Corporation。保留所有权利。 C:\Users\zhangbin>gclient fatal: unable to access 'https://chromium.goo..
python threading timer没执行,Python：threading.timer不遵守间隔
weixin_33421411的博客
12-04 251
This is a followup to another question, to which I now have a solution but the implementation doesn't seem to be behaving properly for unrelated reasons.I have the following code:import timeimport dat...
Performance Insights to Intel® Hyper-Threading Technology
一座青山的专栏
03-18 3624
文章出处：https://software.intel.com/en-us/articles/performance-insights-to-intel-hyper-threading-technology/ Performance Insights to Intel® Hyper-Threading Technology Submitted by Anto
Threading in C# 5
afeyfre41671的博客
09-07 684
Part 5: Parallel Programming In this section, we cover the multithreading APIs new to Framework 4.0 for leveraging multicore processors: Parallel LINQ or PLINQ The Parallel class The task p...
Multi-threading Library for Standard C++
01-01 392
Contents Introduction Thread Mutex   Mutex Rationale and Examples      Mutex concepts   Time Issues    Lock Rationale and Examples  Generic Locking Algorithm      Rational
Threading and Tasks in Chrome
weixin_34071713的博客
11-19 105
Threading and Tasks in Chrome Contents Overview Threads Tasks Prefer Sequences to Threads Posting a Parallel Task Direct Posting to the Task Scheduler Posting via a TaskRunner P...
Chrome - Threading
hintonic的专栏
01-08 1197
http://www.chromium.org/developers/design-documents/threading   Overview Chromium is a very multithreaded product. We try to keep the UI as responsive as possible, and this means not blocking the
Multithreading For Performance
aijia4259的博客
01-28 137
[This post is by Gilles Debunne, an engineer in the Android group who loves to get multitasked. — Tim Bray] A good practice in creating responsive applications is to make sure your main UI threa...
python里的for循环如何调用函数,Python - 使用线程或队列遍历调用函数的for循环...
weixin_35342955的博客
12-18 333
I'm fairly new to python and am making a script that allows one to bring point cloud data from other programs into Autodesk Maya. I have my script functioning fine but what i'm trying to do is make it...
Multi-threading - Token Bucket Emulation in C
vx___codinghelp的博客
09-27 722
rate;pleaseit).tsfile]3109.731ms??look like.
AttributeError: module 'threading' has no attribute 'Thread'
03-31
There are a few possible reasons for this error: 1. You may have misspelled the name of the class or the module. Check your spelling and make sure you are using the correct names. 2. There may be a...
The MySQL 8.0.0 Milestone Release is available
帅的数说
09-20 2133
http://mysqlserverteam.com/the-mysql-8-0-0-milestone-release-is-available/ The MySQL Development team is happy to announce our 8.0.0 development milestone release (DMR), now available for downloa
Exception in thread Thread-1: Traceback (most recent call last): File "D:\python377\lib\threading.py", line 926, in _bootstrap_inner self.run() File "D:\python377\lib\threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "D:\python377\lib\multiprocessing\pool.py", line 412, in _handle_workers pool._maintain_pool() File "D:\python377\lib\multiprocessing\pool.py", line 248, in _maintain_pool self._repopulate_pool() File "D:\python377\lib\multiprocessing\pool.py", line 241, in _repopulate_pool w.start() File "D:\python377\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "D:\python377\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "D:\python377\lib\multiprocessing\popen_spawn_win32.py", line 72, in __init__ None, None, False, 0, env, None, None) OSError: [WinError 1455] 页面文件太小，无法完成操作。 Traceback (most recent call last): File "<string>", line 1, in <module> File "D:\python377\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "D:\python377\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "D:\python377\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "D:\python377\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="__mp_main__") File "D:\python377\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "D:\python377\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "D:\python377\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\code\nba_random_forest_model.py", line 1, in <module> import pandas as pd File "D:\python377\lib\site-packages\pandas\__init__.py", line 17, in <module> "Unable to import required dependencies:\n" + "\n".join(missing_dependencies) ImportError: Unable to import required dependencies: numpy: IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE! Importing the numpy C-extensions failed. This error can happen for many reasons, often due to issues with your setup or how NumPy was installed. We have compiled some common reasons and troubleshooting tips at: https://numpy.org/devdocs/user/troubleshooting-importerror.html Please note and check the following: * The Python version is: Python3.7 from "D:\python377\python.exe" * The NumPy version is: "1.19.5" and make sure that they are the versions you expect. Please carefully study the documentation linked above for further help. Original error was: DLL load failed: 出现了内部错误。 D:\python377\lib\site-packages\sklearn\ensemble\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d D:\python377\lib\site-packages\sklearn\ensemble\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d D:\python377\lib\site-packages\sklearn\ensemble\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d D:\python377\lib\site-packages\sklearn\ensemble\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d D:\python377\lib\site-packages\sklearn\ensemble\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d D:\python377\lib\site-packages\sklearn\ensemble\weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d 在机器学习的过程中出现这样的问题是怎么回事
09-19
首先，我收到了用户的查询，是关于Python机器学习中遇到的两个错误：OSError [WinError 1455] 页面文件太小和ImportError导入numpy C-扩展失败。用户提到了使用pandas导入numpy时这些问题发生在Windows系统上。...
JAVA毕业设计含文档和代码springboot凉州区助农惠农服务平台
最新发布
11-30
JAVA毕业设计含文档和代码springboot凉州区助农惠农服务平台
【四轴飞行器的位移控制】控制四轴飞行器的姿态和位置设计内环和外环PID控制回路（Simulink仿真实现）
11-30
【四轴飞行器的位移控制】控制四轴飞行器的姿态和位置设计内环和外环PID控制回路（Simulink仿真实现）内容概要：本文围绕四轴飞行器的位移控制展开，重点介绍如何通过设计内环和外环PID控制回路来实现对其姿态和位置的精确控制。外环负责根据期望位移生成姿态指令，内环则依据这些指令调节飞行器的实际姿态，从而实现稳定的位置跟踪。整个控制系统在Simulink环境中进行建模与仿真，便于验证控制策略的有效性与鲁棒性。文中详细阐述了四轴飞行器的动力学模型、控制结构设计原理以及PID参数整定方法，帮助读者深入理解飞行器控制的核心机制。; 适合人群：具备自动控制理论基础和Simulink仿真经验的高校学生、科研人员及从事无人机控制开发的工程师。; 使用场景及目标：①用于教学实践中帮助学生掌握多变量控制系统的设计方法；②为无人机姿态与位置控制系统的开发提供可复现的仿真框架；③支持进一步研究高级控制算法（如串级控制、自适应控制）在飞行器中的应用。; 阅读建议：建议读者结合Simulink模型同步操作，动手调试PID参数以观察系统响应变化，加深对内外环协同控制机制的理解，并可在此基础上拓展为非线性或智能控制策略的研究。
【嵌入式开发】Rust与C++互操作技术指南：基于FFI与bindgen的混合编程及渐进式迁移方案设计
11-30
内容概要：本文是一份关于在嵌入式环境中实现Rust与C++互操作的工程实践指南，系统介绍了如何将Rust逐步集成到现有的C/C++驱动框架中。内容涵盖互操作机制（如FFI、extern "C"、bindgen工具）、构建系统集成（Cargo与Make/CMake等）、内存与所有权管理、中断处理、调试测试流程及性能优化，并提供完整的实战案例——用Rust实现I2C传感器驱动并集成到C项目中。文章强调安全性、兼容性和渐进式迁移策略，附有大量可运行代码和常见问题解决方案。; 适合人群：具备一定嵌入式开发经验，熟悉C/C++，并希望引入Rust提升代码安全性的中高级工程师或技术团队；适合正在考虑语言迁移或模块重构的开发者； 使用场景及目标：①在现有C/C++项目中安全嵌入Rust模块，降低内存安全隐患；②实现高效跨语言调用，优化关键组件的可靠性与维护性；③通过bindgen自动化绑定、联合构建与调试，完成实际驱动开发与性能验证； 阅读建议：建议结合示例代码动手实践，重点关注FFI边界设计、内存安全规则和构建脚本配置，在真实嵌入式平台上进行调试与测试以掌握全流程。
zhongyanghan_Risk-prediction-of-credit-card-transaction-fraud-based-on-L
11-30
zhongyanghan_Risk-prediction-of-credit-card-transaction-fraud-based-on-L
Garfield-0927_JavaExperiment_34704_1763630740306.zip
11-30
Garfield-0927_JavaExperiment_34704_1763630740306
Reasons for Xprop not instrumenting your Verilog code. Reasons for Xprop not instrumenting your Verilog code. Reasons for X-prop not instrumenting your Verilog code.用vcs相关知识翻译这句话
07-13
Xprop 是 Verilog 仿真器 VCS 中的一个优化选项，它用于进行传播延迟的优化。当 Xprop 不对你的 Verilog 代码进行优化时，可能有以下几个原因： 1. 代码中存在不确定性：如果代码中包含无法确定的值（如 X、Z 或未初始化的变量），Xprop 无法进行准确的优化。在这种情况下，Xprop 可能会选择不对代码进行传播延迟的优化，以避免引入错误。 2. 不适用的语法结构：某些语法结构可能不适合进行传播延迟的优化。例如，当代码中存在条件语句、循环或任务调用时，Xprop 可能会选择不对这些结构进行优化。 3. 优化选项未启用：Xprop 是 VCS 中的一个优化选项，需要在仿真命令中明确启用。如果你没有显式启用 Xprop 选项，那么它将不会对你的代码进行传播延迟的优化。 4. 代码中存在限制：有些情况下，Xprop 无法对代码进行传播延迟的优化。例如，当代码中存在复杂的层次结构、重要路径或其他限制时，Xprop 可能会选择不对代码进行优化。 请注意，以上是一般情况下 Xprop 不对 Verilog 代码进行优化的一些可能原因，并不代表所有的情况。具体原因可能需要根据你的代码和仿真环境进行详细分析。
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
表情包 代码片
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值