smaz
ck
smaz | ck | |
---|---|---|
3 | 7 | |
1,131 | 2,293 | |
- | 0.3% | |
0.0 | 6.9 | |
over 4 years ago | 15 days ago | |
C | C | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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smaz
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Advanced MessagePack capabilities
Choose the data compression algorithm based on the specifics of your data. For example, if you are working with lots of short strings, take a look at [*SMAZ](https://github.com/antirez/smaz).*
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Improving short string compression.
Take a look at this. Idea behind it seems nice, but it's fixed dictionary ("codebook") was clearly made for English language, and the algorithm itself is really simple. How can we impove on this? Dynamic dictionary won't do, since you have to store it somewhere, nullifying benefits of using such algorithm. Beyond that I have no idea.
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C Deep
smaz - Efficient string compression library. BSD-3-Clause
ck
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Falsehoods programmers believe about undefined behavior
Maybe I'm missing something, but x is not volatile and the compiler is free to assume that it is not modified concurrently outside the bounds of C's memory model. Compilers can and do hoist out loop invariants, and https://github.com/concurrencykit/ck/commit/b54ae5c4ace9b94442bbb46858449069f566d269 seems like an example of compilers doing what you say they don't. What am I missing?
- Concurrency Kit
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A portable, license-free, lock-free data structure library written in C.
Recommend checking out http://concurrencykit.org instead.
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Does a thread have a better chance of acquiring a mutex if it's just in time? Or if it's been in the queue? Neither?
If you're interested in how other approaches work, or how one achieves concurrency on shared mutable state without mutual exclusion, would recommend checking out concurrency kit.
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Libdill: Structured Concurrency for C (2016)
There are plenty of practical solutions to the safe memory reclamation problem in C. The language just doesn't force one on you.
From epoch-based reclamation (https://github.com/concurrencykit/ck/blob/master/include/ck_..., especially with the multiplexing extension to Fraser's classic scheme), to quiescence schemes (https://liburcu.org/), or hazard pointers (https://github.com/facebook/folly/blob/master/folly/synchron..., or https://pvk.ca/Blog/2020/07/07/flatter-wait-free-hazard-poin...)... or even simple using a type-stable (https://www.usenix.org/legacy/publications/library/proceedin...) memory allocator.
In my experience, it's easier to write code that is resilient to hiccups in C than in Java. Solving SMR with GC only offers something close to lock-freedom when you can guarantee global GC pauses are short enough... and common techniques to bound pauses, like explicitly managed freelists land you back in the same problem space as C.
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C Deep
ck - Concurrency primitives, safe memory reclamation mechanisms and non-blocking data structures. BSD-2-Clause
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Super-expressive – Write regex in natural language
Indeed they do, https://github.com/concurrencykit/ck
What are some alternatives?
LZMAT - git mirror of LZMAT (http://www.matcode.com/lzmat.htm)
libcds - A C++ library of Concurrent Data Structures
Snappy - A fast compressor/decompressor
libdill - Structured concurrency in C
doboz
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
zstd - Zstandard - Fast real-time compression algorithm
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
ZLib - A massively spiffy yet delicately unobtrusive compression library.
HPX - The C++ Standard Library for Parallelism and Concurrency
LZHAM - Lossless data compression codec with LZMA-like ratios but 1.5x-8x faster decompression speed, C/C++
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.