Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
LruClockCache Alternatives
Similar projects and alternatives to LruClockCache
-
Olric
Distributed in-memory object store. It can be used as an embedded Go library and a language-independent service.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
srs
SRS is a simple, high-efficiency, real-time video server supporting RTMP, WebRTC, HLS, HTTP-FLV, SRT, MPEG-DASH, and GB28181.
-
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
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.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better LruClockCache alternative or higher similarity.
LruClockCache reviews and mentions
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.
-
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
-
A note from our sponsor - InfluxDB
www.influxdata.com | 24 Apr 2024
Stats
Basic LruClockCache repo stats
8
59
5.3
3 months ago
tugrul512bit/LruClockCache is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of LruClockCache is C++.
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com