Appendix A ISA and Memory Notes.pdf

很好用的内存监测工具

Flink TaskExecutor 内存计算表格 下载地址：https://docs.google.com/spreadsheets/d/1mJaMkMPfDJJ-w6nMXALYmTc4XxiV30P5U7DzgwLkSoE/edit

php解决Allowed memory size of bytes exhausted

ch8-Main Memory.ppt

Enhanced Memory Leak Detection for Visual C++ Visual Leak Detector is a free, robust, open-source memory leak detection system for Visual C++. It's pretty easy to use. After installing it, you just need to tell Visual C++ where to find the included header and library file. Then it can be used with any C/C++ project simply by adding the following line to your code: #include When you run your program under the Visual Studio debugger, Visual Leak Detector will output a memory leak report at the end of your debugging session. The leak report includes the full call stack showing how any leaked memory blocks were allocated. Double-click on a line in the call stack to jump to that file and line in the editor window. It's a very effective way to quickly diagnose, and fix, memory leaks in C/C++ applications. The main difference between the CRT Debug Library and VLD, is that Visual Leak Detector shows you the complete callstack used for memory allocation has led to the leak.

The advent of multicore processors has renewed interest in the idea of incorporating transactions into the programming model used to write parallel programs.This approach, known as transactional memory, offers an alternative, and hopefully better, way to coordinate concurrent threads. The ACI (atomicity, consistency, isolation) properties of transactions provide a foundation to ensure that con- current reads and writes of shared data do not produce inconsistent or incorrect results. At a higher level, a computation wrapped in a transaction executes atomically - either it completes successfully and commits its result in its entirety or it aborts. In addition, isolation ensures the transaction pro- duces the same result as if no other transactions were executing concurrently. Although transactions are not a parallel programming panacea, they shift much of the burden of synchronizing and co- ordinating parallel computations from a programmer to a compiler, to a language runtime system, or to hardware. The challenge for the system implementers is to build an efficient transactional memory infrastructure. This book presents an overview of the state of the art in the design and implementation of transactional memory systems, as of early spring 2010.

显卡内存故障往往导致花屏，随机性掉驱动。市面的显卡测试软件很多，但一般都不专门测试内存，而且随着显卡内存增大，这些软件很难覆盖的显卡内存都太少。 而常见专门测试显卡内存的Video Memory Stress Test,Artifact以及一些dos工具，这些工具都太老，对大显存支持也不好。 我这里推荐这个软件支持win7//8/10,可以支持到市面的新显卡，我的测试卡是AMD RX470。

一款检测显存是否存在问题的软件，软件共有264个测试，详细的检测你显卡的显存是否存在问题。 你可以设置分辨率和是否全屏。 软件运行需要你的显卡兼容DX9，显卡最好GF2或者8500以上。 能测试显存是否正常，是否存在坏位。 特别对于超频后的显存，可进行稳定性测试。 OCer必备工具！

Welcome to Long Short-Term Memory Networks With Python. Long Short-Term Memory (LSTM) recurrent neural networks are one of the most interesting types of deep learning at the moment. They have been used to demonstrate world-class results in complex problem domains such as language translation, automatic image captioning, and text generation. LSTMs are very di↵erent to other deep learning techniques, such as Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNNs), in that they are designed specifically for sequence prediction problems. I designed this book for you to rapidly discover what LSTMs are, how they work, and how you can bring this important technology to your own sequence prediction problems.