gperf
asm
| gperf | asm | |
|---|---|---|
| 7 | 4 | |
| 2 | 850 | |
| - | 0.6% | |
| 4.7 | 0.0 | |
| about 2 months ago | 6 months ago | |
| C++ | Go | |
| GNU General Public License v3.0 only | MIT No Attribution |
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gperf
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What is an example of non-linear static data structure and what is an accurate breakdown of ds types?
Can create a ton of theoretical examples, but even in practice we use such data structures. An example that first came to mind is gperf which generates static hash table data structure for predefined set of strings (So you cannot add or remove any elements).
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Hashtables
gperf is a generator for perfect hash functions. Its documentation has a bibliography that might contain helpful links.
- Quickly checking that a string belongs to a small set
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Generating the code for an efficient conditional tree to select from a list of strings
I think gperf is what you need. Alternatively cmph.
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How to emulate map literals in C?
Adding to this, there are tools such as gperf which are specifically designed for this. Apparently gperf works well for smaller number of keys but not for really high n (> 100,000 ish) and mph apparently works better for larger n.
- On implementing Bloom Filters in C
asm
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Quickly checking that a string belongs to a small set
We took a similar approach in our JSON decoder. We needed to support sets (JSON object keys) that aren't necessarily known until runtime, and strings that are up to 16 bytes in length.
We got better performance with a linear scan and SIMD matching than with a hash table or a perfect hashing scheme.
See https://github.com/segmentio/asm/pull/57 (AMD64) and https://github.com/segmentio/asm/pull/65 (ARM64). Here's how it's used in the JSON decoder: https://github.com/segmentio/encoding/pull/101
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Changing one character wildly improved our application's performance
OP here, the algorithms we use give us about 5-10x the performance of the standard library sort, even compared against the new pdqsort in Go 1.19. https://github.com/segmentio/asm/pull/77
- Go library providing algorithms optimized for modern CPUs
- Segmentio/asm – Go library of algorithms optimized to leverage modern CPUs
What are some alternatives?
parallel-hashmap - A family of header-only, very fast and memory-friendly hashmap and btree containers.
sha256-simd - Accelerate SHA256 computations in pure Go using AVX512, SHA Extensions for x86 and ARM64 for ARM. On AVX512 it provides an up to 8x improvement (over 3 GB/s per core). SHA Extensions give a performance boost of close to 4x over native.
meow_hash - Official version of the Meow hash, an extremely fast level 1 hash
faasd - A lightweight & portable faas engine
mph - (Fork) Minimal Perfect Hash
photoscope - Journey into photo management with golang
robin-hood-hashing - Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20
avo - Generate x86 Assembly with Go
encoding - Go package containing implementations of efficient encoding, decoding, and validation APIs.
sourcery - 🧙 A simple but very fast recursive source code spell checker made in C
STC - A modern, user friendly, generic, type-safe and fast C99 container library: String, Vector, Sorted and Unordered Map and Set, Deque, Forward List, Smart Pointers, Bitset and Random numbers.