adix
RAMCloud
adix | RAMCloud | |
---|---|---|
4 | 1 | |
38 | 481 | |
- | 0.4% | |
7.2 | 0.0 | |
11 days ago | over 4 years ago | |
Nim | C++ | |
ISC License | GNU General Public License v3.0 or later |
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adix
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I/O is no longer the bottleneck
Note: Just concatenating the bibles keeps your hash map artificially small...which matters because as you correctly note the big deal is if you can fit the histogram in the L2 cache as noted elsewhere and this really matters if you go parallel where N CPUsL2 caches can speed things up a lot -- until* your histograms blow out CPU-private L2 cache sizes. https://github.com/c-blake/adix/blob/master/tests/wf.nim (or a port to your favorite lang) might make it easy to play with these ideas.
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A Cost Model for Nim
which is notably logarithmic - not unlike a B-Tree.
When these expectations are exceeded you can at least detect a DoS attack. If you wait until such are seen, you can activate a "more random" mitigation on the fly at about the same cost as "the next resize/re-org/whatnot".
All you need to do is instrument your search to track the depth. There is some example such strategy in Nim at https://github.com/c-blake/adix for simple Robin-Hood Linear Probed tables.
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Performance comparison: counting words in Python, Go, C++, C, Awk, Forth, Rust
Knuth-McIlroy comes up a lot. Previous discussion [1]. For this example I can make a Nim program run almost exactly the same speed as `wc -w`, yet the optimized C program runs 1.2x faster not 3.34x slower - a whopping 4x discrepancy - much bigger than many of the ratios in the table. So, people should be very cautious about conclusions from any of this.
[1] https://news.ycombinator.com/item?id=24817594
[2] https://github.com/c-blake/adix/blob/master/tests/wf.nim
RAMCloud
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I/O is no longer the bottleneck
On a related note, John Ousterhout (in the RAMCloud project) was basically betting that the latency of accessing RAM on another computer on a fast local network will eventually become competitive to local RAM access.
https://ramcloud.atlassian.net/wiki/spaces/RAM/overview
What are some alternatives?
countwords - Playing with counting word frequencies (and performance) in various languages.
huniq - Filter out duplicates on the command line. Replacement for `sort | uniq` optimized for speed (10x faster) when sorting is not needed.
wordcount - Counting words in different programming languages.
Killed by Google - Part guillotine, part graveyard for Google's doomed apps, services, and hardware.
KindleClippingsTranslator - Czytacz slowek
napkin-math - Techniques and numbers for estimating system's performance from first-principles
tiny_sqlite - A thin SQLite wrapper for Nim
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
word_frequency_nim - The word frequency program, written in simple nim.
share-file-systems - Use a Windows/OSX like GUI in the browser to share files cross OS privately. No cloud, no server, no third party.
CPython - The Python programming language
fast-sqlite3-inserts - Some bunch of test scripts to generate a SQLite DB with 1B rows in fastest possible way