1brc
avo
1brc | avo | |
---|---|---|
28 | 10 | |
5,246 | 2,607 | |
- | - | |
9.8 | 7.0 | |
24 days ago | 15 days ago | |
Java | Go | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
1brc
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The One Billion Row Challenge in CUDA: from 17 minutes to 17 seconds
This would be the code to beat. Ideally with only 8 cores but any number of cores is also very interesting.
https://github.com/gunnarmorling/1brc/discussions/710
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One Billion Row Challenge in Golang - From 95s to 1.96s
Given that 1-billion-line-file is approximately 13GB, instead of providing a fixed database, the official repository offers a script to generate synthetic data with random readings. Just follow the instructions to create your own database.
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1BRC Merykitty's Magic SWAR: 8 Lines of Code Explained in 3k Words
Local disk I/O is no longer the bottleneck on modern systems: https://benhoyt.com/writings/io-is-no-longer-the-bottleneck/
In addition, the official 1BRC explicitly evaluated results on a RAM disk to avoid I/O speed entirely: https://github.com/gunnarmorling/1brc?tab=readme-ov-file#eva... "Programs are run from a RAM disk (i.o. the IO overhead for loading the file from disk is not relevant)"
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Processing One Billion Rows in PHP!
You may have heard of the "The One Billion Row Challenge" (1brc) and in case you don't, go checkout Gunnar Morlings's 1brc repo.
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The One Billion Row Challenge in Go: from 1m45s to 4s in nine solutions
Here’s a thread on results with duckdb, I don’t mean to discourage you taking a shot at all though: https://github.com/gunnarmorling/1brc/discussions/39
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Ask HN: How can I learn about performance optimization?
If you are in “javaland” look at billion row challenge, you will learn a lot - https://github.com/gunnarmorling/1brc
- Lessons Learned from Doing the One Billion Row Challenge
- 1B Row Challenge Shows Java Can Process 1B Rows File in 2 Seconds
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From slow to SIMD: A Go optimization story
Even manual vectorization is pain...writing ASM, really?
Rust has unstable portable SIMD and a few third-party crates, C++ has that as well, C# has stable portable SIMD and a very small BLAS-like library on top of it (hell it even exercises PackedSIMD when ran in a browser) and Java is getting stable Panama vectors some time in the future (though the question of codegen quality stands open given planned changes to unsafe API).
Go among these is uniquely disadvantaged. And if that's not enough, you may want to visit 1Brc's challenge discussions and see that Go struggles get anywhere close to 2s mark with both C# and C++ are blazing past it:
https://hotforknowledge.com/2024/01/13/1brc-in-dotnet-among-...
https://github.com/gunnarmorling/1brc/discussions/67
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JEP Draft: Deprecate Memory-Access Methods in Sun.misc.Unsafe for Removal
In terms of performance: I realize that this is a somewhat "toy" issue, and it's a sample size of 1, but for the currently ongoing "One Billion Row Challenge"[1] (an ongoing Java performance competition related to parsing and aggregating a 13 GB file), all of the current top-performers are using Unsafe. More specifically, the use of Unsafe appears to have been the change for a few entries that allowed getting below the 3-second barrier in the test.
1. https://github.com/gunnarmorling/1brc
avo
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From slow to SIMD: A Go optimization story
I wonder whether avo could have been useful here?[1] I mention it because it came up the last time we were talking about AVX operations in go.[2]
1 = https://github.com/mmcloughlin/avo
2 = https://news.ycombinator.com/item?id=34465297
- Portable Efficient Assembly Code-Generator in Higher-Level Python (PeachPy)
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How to Use AVX512 in Golang
I thought the /r/golang comments on this post were pretty useful[1]. They also introduced me to avo[2], a tool for generating x86 assembly from go that I hadn't seen before. There are some examples listed on the avo github page for generating AVX512 instructions with avo.
1 = https://www.reddit.com/r/golang/comments/10hmh07/how_to_use_...
2 = https://github.com/mmcloughlin/avo
For writing AVX512 from scratch avo is a much better alternative.
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SIMD Accelerated vector math
Avo is a library that simplifies writing complex go assembly, I found it very useful to figure out how instructions map onto Go's asm syntax. But you could definitely do the translation directly, it's what c2goasm did (couldn't get it to work reliably unfortunately).
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HaxMap v0.2.0 released, huge performance improvements and added support for 32-bit systems
Curious if you're looking at using avo to write the assembly
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HaxMap, a concurrent hashmap faster and more memory-efficient than golang's sync.Map
You can use github.com/mmcloughlin/avo for generating the assembly use Go.
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S2: Fully Snappy compatible compression, faster and better
For normal and "better" mode I am using avo to generate different encoders for different input sizes, with and without Snappy compatibility. That currently outputs about 17k lines of assembly.
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Branchless Coding in Go (Golang)
You could perhaps just have the Go compiler generate the assembler for your code:
go tool compile -S file.go > file_amd64.s
Then you could verify it doesn't change over time, and choose to begin maintaining by hand if it makes sense.
If you do want to go the route of rolling it yourself, I'd suggest looking into something like Avo: https://github.com/mmcloughlin/avo
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High precision timer loop.
If you have to go with Assembly, try Avo https://github.com/mmcloughlin/avo
What are some alternatives?
1brc - C99 implementation of the 1 Billion Rows Challenge. 1️⃣🐝🏎️ Runs in ~1.6 seconds on my not-so-fast laptop CPU w/ 16GB RAM.
sonic - A blazingly fast JSON serializing & deserializing library
yolov7-object-tracking - YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking
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.
csvlens - Command line csv viewer
dingo - Generated dependency injection containers in go (golang)
nodejs - 1️⃣🐝🏎️ The One Billion Row Challenge with Node.js -- A fun exploration of how quickly 1B rows from a text file can be aggregated with different languages.
rjson - A fast json parser for go
pocketbase - Open Source realtime backend in 1 file
gorse - Gorse open source recommender system engine
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.