timeit
A quick c++ library to measure/compare code execution time (by xeerx)
LruClockCache
A low-latency LRU approximation cache in C++ using CLOCK second-chance algorithm. Multi level cache too. Up to 2.5 billion lookups per second. (by tugrul512bit)
| timeit | LruClockCache | |
|---|---|---|
| 1 | 8 | |
| 12 | 59 | |
| - | - | |
| 8.4 | 5.3 | |
| almost 2 years ago | 4 months ago | |
| C++ | C++ | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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.
timeit
Posts with mentions or reviews of timeit.
We have used some of these posts to build our list of alternatives
and similar projects.
LruClockCache
Posts with mentions or reviews of LruClockCache.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-04.
- Is 180 million lookups per second performance ok for an asynchronous cache written in C++ running on FX8150? (has cache-coherence and runs only 1 consumer thread as back-end)
-
Is Python Interpreter optimized enough for low-latency caching algorithm?
Is it feasible to write a fast caching library for Python in pure Python codes or does its function calling overhead limit the performance of cache access? What about linking a C++ caching function to Python environment to be called? Does it cause worse latency or better latency than the pure-Python version? (I'm considering converting my C++ caching tool to Python: https://github.com/tugrul512bit/LruClockCache which has performance between 50M - 2B lookups per second depending on use-cases)
- 2D Direct Mapped Cache Is Much Better Than Normal Direct Mapped Cache In 2D Access Patterns
- What is the absolute fastest way of using mmap for read-only random-access pattern?
-
Does C++ have a feature like optionally producing same pointer value from allocation with help of an integer key?
Hi, I implemented a multi-level LRU+direct mapped cache (https://github.com/tugrul512bit/LruClockCache/wiki/How-To-Do-Multithreading-With-a-Read-Only-Multi-Level-Cache) and it works as a single threaded read-write cache or multi-threaded read-only cache. Now I'm going to add cache-coherence to it (so it will be read-write multithreaded) but by using smart pointers as "value" cells. So, a get method will return shared_ptr and I can change its data by dereferencing and it instantly visible on other L1 caches in other threads. But there are some problems.
- Multi-Level Cache (Direct Mapped L1 + LRU approx L2 + guard_locked LRU LLC) does up to 400 million lookups per second in Gaussian Blur operation on FX8150 CPU.
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Is 20 million lookups per second performance ok for a single threaded LRU cache written in C++? (CPU is fx8150 3.6GHz)
Implementation: https://github.com/tugrul512bit/LruClockCache/blob/main/LruClockCache.h
What are some alternatives?
When comparing timeit and LruClockCache you can also consider the following projects:
fmtlog - fmtlog is a performant fmtlib-style logging library with latency in nanoseconds.
Olric - Distributed in-memory object store. It can be used as an embedded Go library and a language-independent service.
srs - SRS is a simple, high-efficiency, real-time video server supporting RTMP, WebRTC, HLS, HTTP-FLV, SRT, MPEG-DASH, and GB28181.
srt - Secure, Reliable, Transport
leaf - Lightweight Error Augmentation Framework
quill - Asynchronous Low Latency C++ Logging Library
cppdataloader - cppdataloader is a batching and caching library for C++17
ScaleStore - This is the source code for our (Tobias Ziegler, Carsten Binnig and Viktor Leis) published paper at SIGMOD’22: ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA.