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canonware.com | canonware.com Reviews

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1

trp.h -- treap implementation

http://www.canonware.com/trp

Trph - Treap implementation. Implements treaps using a simple pseudo-random number generator (PRNG) for priorities. An alternative trp.h. Implements treaps using Bob Jenkins's lookup3.h. Hashing implementation to generate priorities by hashing pointers. The PRNG-based implementation is more portable, but tree nodes are larger, due to explicitly stored node priorities. For discussion, see this blog post. For those concerned about correctness and performance, test programs ( PRNG.

2

rb.h -- Red-black tree implementation

http://www.canonware.com/rb

Rbh - Red-black tree implementation. Implements left-leaning 2-3 red-black trees as C preprocessor macros, and is used extensively in jemalloc. Similar implementations predate this one, such as OpenBSD's. And my own obsolete rb.h. For those concerned about correctness and performance, a test program. Are available. Comparable benchmark programs are also available for sys/tree.h. And for my old implementations ( 1. Obsolete rb.h (1). Obsolete rb.h (2).

3

Parsing -- Python parser generator module

http://www.canonware.com/Parsing

Parsing - Python parser generator module. The Parsing module is a pure-Python module that implements an LR(1) parser generator, as well as CFSM and GLR parser drivers. From an algorithmic perspective, this is one of the most advanced parser generators in existence, for the following reasons:. The Parsing module uses a scalable algorithm for LR(1) parser generation, rather than the more limited LALR(1) or SLR(1) algorithms that are more typically used. To my knowledge, Menhir. Although this is not unique ...

4

Crux

http://www.canonware.com/Crux

Crux is a software toolkit for molecular phylogenetic inference that runs on (at least) Linux. And Mac OS X. It is structured as a set of Python. Modules, which makes it possible to quickly develop Python scripts that perform unique, non-canned analyses. The Python language is powerful and elegant, but it does not have any high performance implementations, which makes it a challenge to use for scientific computing. Crux is actually implemented as a combination of Python, Cython. Bayesian Markov chain Mon...

5

jemalloc

http://www.canonware.com/jemalloc

Jemalloc is a general purpose malloc(3) implementation that emphasizes fragmentation avoidance and scalable concurrency support. jemalloc first came into use as the FreeBSD. Libc allocator in 2005, and since then it has found its way into numerous applications that rely on its predictable behavior. In 2010 jemalloc development efforts broadened to include developer support features such as heap profiling, Valgrind. The wiki contains miscellaneous documentation such as FAQ answers and tutorials. Low volum...

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brionas.github.io brionas.github.io

jemalloc源码解析-内存管理-睿初科技软件开发技术博客

http://brionas.github.io/2015/01/31/jemalloc源码解析-内存管理

Jemalloc采用多级内存分配,引入线程缓存tcache, 分配区arena来减少线程间锁的争用, 提高申请释放的效率和线程并发扩展性。 前面提到,jemalloc根据内存对象的大小把其分为small object, large object和huge object, 本文将分别介绍这些内存对象的申请和释放流程。 如图所示, jemalloc的内存管理采用层级架构, 分别是线程缓存tcache, 分配区arena和系统内存memory, 不同大小的内存块对应不同的分配区。 每个线程对应一个tcache, 负责当前线程使用内存块的快速申请和释放, 避免线程间锁的竞争和同步。 Small object:当jemalloc支持tcache时, small object的分配从tcache开始, tcache不中则从arena申请run并将剩余区域缓存到tcache, 若从arena中不能分配再从system memory中申请chunk加入arena进行管理, 不支持tcache时, 则直接从arena中申请。 Huge dss prec get. Tcache alloc small hard.

brionas.github.io brionas.github.io

jemalloc源码解析-核心架构-睿初科技软件开发技术博客

http://brionas.github.io/2015/01/31/jemalloc源码解析-核心架构

Jemalloc首次在FreeBSD中引入,后续增加了heap profiling, Valgrind integration, and extensive monitoring/tuning hooks等功能,目前在多个大型项目中都有应用。 最小化锁竞争 arena and thread cache. 如果不通用,说明不够好 If it isn’t general purpose, it isn’t good enough. Jemalloc基于申请内存的大小把内存分配分为三个等级 small, large, huge. Small objects和large objects由arena来管理, huge objects由线程间公用的红黑树管理。 160, 192, 224, 256]. 320, 384, 448, 512]. 640, 768, 896, 1024]. 1280, 1536, 1792, 2048]. 2560, 3072, 3584]. 4 KiB, 8 KiB, 12 KiB, , 4072 KiB]. 4 MiB, 8 MiB, 12 MiB, ]. Arena chunk ...

mallocv2.wordpress.com mallocv2.wordpress.com

Polls « A Collaborative Latency Reducing Enhancement Of The C/C++ malloc API

https://mallocv2.wordpress.com/polls

A Collaborative Latency Reducing Enhancement Of The C/C malloc API. Help us bring memory management in C and C into the 21st century! The C Proposal Text (N1527) Nov 2010. V100 of the C Proposal Text. The C Proposal Text. Specifying alignment of blocks. How should realloc return blocks? Niall is the author of nedmalloc. A popular third-party memory allocator, and is the founder of ned Productions IT Consulting. Ltd Niall is the primary initiator behind these standards change proposals. Post was not sent ...

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