<?xml version="1.0" encoding="UTF-8"?>
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    <title>llvm</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/1344/feed"/>
    <updated>2026-09-17T20:48:44+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1344/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11577</id>
            <title type="text"><![CDATA[Clang]]></title>
            <link rel="alternate" href="https://clang.llvm.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11577"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[C Language Family Frontend for LLVM.

The Clang project provides a language front-end and tooling infrastructure for languages in the C language family (C, C++, Objective C/C++, OpenCL, and CUDA) for the LLVM project.

Related contents:

- [Clang Hardening Cheat Sheet @ Quarkslab&amp;#039;s blog](https://blog.quarkslab.com/clang-hardening-cheat-sheet.html).
- [Clang Hardening Cheat Sheet - Ten Years Later @ Quarkslab&amp;#039;s blog](https://blog.quarkslab.com/clang-hardening-cheat-sheet-ten-years-later.html).]]>
            </summary>
            <updated>2026-01-23T07:29:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10074</id>
            <title type="text"><![CDATA[The LLVM Compiler Infrastructure Project]]></title>
            <link rel="alternate" href="https://llvm.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10074"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. 

Despite its name, LLVM has little to do with traditional virtual machines. The name &amp;quot;LLVM&amp;quot; itself is not an acronym; it is the full name of the project.

- [The LLVM Compiler Infrastructure @ GitHub](https://github.com/llvm/llvm-project/).

Related contents:

- [Why ML Needs a New Programming Language @ Signals &amp;amp; Threads](https://signalsandthreads.com/why-ml-needs-a-new-programming-language/).]]>
            </summary>
            <updated>2025-09-09T06:08:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1960</id>
            <title type="text"><![CDATA[Codon]]></title>
            <link rel="alternate" href="https://docs.exaloop.io/codon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1960"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high-performance, zero-overhead, extensible Python compiler using LLVM.

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still.

- [Codon @ GitHub](https://github.com/exaloop/codon).]]>
            </summary>
            <updated>2025-08-28T21:24:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3263</id>
            <title type="text"><![CDATA[Vortex]]></title>
            <link rel="alternate" href="https://github.com/spiraldb/vortex" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3263"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[&amp;quot;The LLVM of columnar file formats&amp;quot;. A toolkit for working with compressed Arrow on-disk, in-memory, and over-the-wire. 

Vortex is a toolkit for working with compressed Apache Arrow arrays in-memory, on-disk, and over-the-wire.

Vortex is designed to be to columnar file formats what Apache DataFusion is to query engines (or, analogously, what LLVM + Clang are to compilers): a highly extensible &amp;amp; extremely fast framework for building a modern columnar file format, with a state-of-the-art, &amp;quot;batteries included&amp;quot; reference implementation.]]>
            </summary>
            <updated>2025-08-29T01:00:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5653</id>
            <title type="text"><![CDATA[Codon]]></title>
            <link rel="alternate" href="https://github.com/exaloop/codon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5653"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high-performance, zero-overhead, extensible Python compiler using LLVM.

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 10-100x or more, on a single thread. Codon&amp;#039;s performance is typically on par with (and sometimes better than) that of C/C++. Unlike Python, Codon supports native multithreading, which can lead to speedups many times higher still. Codon grew out of the Seq project.]]>
            </summary>
            <updated>2025-08-29T07:40:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7857</id>
            <title type="text"><![CDATA[Pyston]]></title>
            <link rel="alternate" href="http://pyston.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7857"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pyston is an open source Python implementation that aims to be both highly compatible and high-performance. It uses modern JIT techniques on top of LLVM, and natively supports many CPython C extension modules via a recompile.]]>
            </summary>
            <updated>2025-08-29T13:47:35+00:00</updated>
        </entry>
    </feed>
