x86doc | HTML representation of the Intel x86 instructions

 by   zneak Python Version: Current License: Unlicense

kandi X-RAY | x86doc Summary

kandi X-RAY | x86doc Summary

x86doc is a Python library. x86doc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However x86doc build file is not available. You can download it from GitHub.

I needed a parsable copy of Intel’s x86 instruction set documentation for a personal project, so I downloaded volumes 2A and 2B of the Intel 64 and IA-32 Architectures Software Developer’s Manual (which can be found [here][1] and [here][2], respectively), and used a online PDF-to-HTML tool to transform them to HTML files. Unfortunately, the result was beyond terrible and absolutely unusable. They say that you’re never better served than by yourself, so I took the matter into my own, [pdfminer][3]-gloved hands to extract HTML pages straight from the documentation PDF themselves. This is still not perfect, but it’s already much better than the other solution (and it doesn’t involve an ugly third-party).
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            kandi-support Support

              x86doc has a low active ecosystem.
              It has 335 star(s) with 62 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 9 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of x86doc is current.

            kandi-Quality Quality

              x86doc has 0 bugs and 88 code smells.

            kandi-Security Security

              x86doc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              x86doc code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              x86doc is licensed under the Unlicense License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              x86doc releases are not available. You will need to build from source code and install.
              x86doc has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              x86doc saves you 502 person hours of effort in developing the same functionality from scratch.
              It has 1180 lines of code, 135 functions and 5 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed x86doc and discovered the below as its top functions. This is intended to give you an instant insight into x86doc implemented functionality, and help decide if they suit your requirements.
            • Prepare the display .
            • Main function of the main function .
            • Initialize the grid .
            • Return a Table containing the left aligned table of the source .
            • Append a new token .
            • Center a table aligned vertically .
            • Cluster lines by intersecting lines .
            • Count the number of segments in a list .
            • returns True if two points intersect
            • Returns the approximate bounds of the glyph .
            Get all kandi verified functions for this library.

            x86doc Key Features

            No Key Features are available at this moment for x86doc.

            x86doc Examples and Code Snippets

            No Code Snippets are available at this moment for x86doc.

            Community Discussions

            QUESTION

            Using a variable to index a simd vector with _mm256_extract_epi32() intrinsic
            Asked 2019-Mar-13 at 20:51

            I am using the AVX intrinsic _mm256_extract_epi32().

            I am not entirely sure if I am using it correctly, though, because gcc doesn't like my code, whereas clang compiles it and runs it without issue.

            I am extracting the lane based on the value of an integer variable, as opposed to using a constant.

            When compiling the following snippet with clang3.8 (or clang4) for avx2, it generates code and uses the vpermd instruction.

            ...

            ANSWER

            Answered 2019-Mar-13 at 20:51

            Apparently GCC and Clang made a different choice. IMHO GCC has made the right choice by not implementing this for variable indices. Intrinsic _mm256_extract_epi32 doesn't translate to a single instruction. With a variable index this intrinsic might lead to inefficient code, if it is used in a performance critical loop.

            For example, Clang 3.8 needs 4 instructions to implement _mm256_extract_epi32 with a variable index. GCC forces the programmer to think about more efficient code that avoids _mm256_extract_epi32 with variable indices.

            Nevertheless, sometimes it is useful to have a portable (gcc, clang, icc) function, which emulates _mm256_extract_epi32 with variable a index:

            Source https://stackoverflow.com/questions/48726032

            QUESTION

            How AVX-512CD (conflict detection) differs from atomic variables access?
            Asked 2017-Mar-28 at 10:00

            So I was watching this ANL Training video and they show how

            ...

            ANSWER

            Answered 2017-Mar-28 at 10:00

            The AVX512 conflict detection instructions detect conflicts which would occur when a single scatter instruction writes to the same store location more than once. This is a conflict between different vector lanes in the same instruction.

            Atomic operations protect against race conditions which occur when more than one logicalCPU executes a load/store to the same address "at the same time".

            Thus you require the conflict detection instructions if your code is vectorized even if it runs single threaded, whereas there is no need for atomic operations until your code is parallelized and executing with many threads.

            Source https://stackoverflow.com/questions/43049488

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install x86doc

            You can download it from GitHub.
            You can use x86doc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/zneak/x86doc.git

          • CLI

            gh repo clone zneak/x86doc

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            git@github.com:zneak/x86doc.git

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