papers-we-love
moodycamel
Our great sponsors
papers-we-love | moodycamel | |
---|---|---|
69 | 11 | |
82,978 | 8,785 | |
1.1% | - | |
5.4 | 3.9 | |
7 months ago | 10 months ago | |
Shell | C++ | |
- | GNU General Public License v3.0 or later |
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.
papers-we-love
-
The Top 10 GitHub Repositories Making Waves 🌊📊
Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info.
- What led you to use Linux as your daily driver?
-
We have used too many levels of abstractions and now the future looks bleak
You might find the paper Out of the Tar Pit interesting if you haven't already read it: https://github.com/papers-we-love/papers-we-love/blob/main/d...
The ideas and approaches you talk about evoked some of the concepts from that paper for me. It talks a lot about separating accidental complexity and infrastructure so you can focus only on what is essential to define your solutions.
- Out Of The Tar Pit (2006) [pdf]
-
John McCarthy’s collection of numerical facts for use in elisp programs
Sure he was expecting a practical language and was designing one. Lisp was from day zero a project to implement a real programming language for a computer.
Earlier he experimented with IPL and also list processing programming on Fortran. The plan was to implement a Lisp compiler. At first the Lisp code McCarthy was experimenting with, was manually translated to machine code.
Then came up the idea to use EVAL as a base for an interpreter, which was implemented by manually translating the Lisp code to machine language. Around 1962 then a compiler followed.
https://github.com/papers-we-love/papers-we-love/blob/main/c...
-
Python: Just Write SQL
I'm in a 4th camp: we should be writing our applications against a relational data model and _not_ marshaling query results into and out of Objects at all.
Elaborations on this approach:
- https://github.com/papers-we-love/papers-we-love/blob/main/d...
- CS Journals and Magazines?
-
Ask HN: Incremental View Maintenance for SQLite?
The short ask: Anyone know of any projects that bring incremental view maintenance to SQLite?
The why:
Applications are usually read heavy. It is a sad state of affairs that, for these kinds of apps, we don't put more work on the write path to allow reads to benefit.
Would the whole No-SQL movement ever even have been a thing if relational databases had great support for materialized views that updated incrementally? I'd like to think not.
And more context:
I'm working to push the state of "functional relational programming" [1], [2] further forward. Materialized views with incremental updates are key to this. Bringing them to SQLite so they can be leveraged one the frontend would solve this whole quagmire of "state management libraries." I've been solving the data-sync problem in SQLite (https://vlcn.io/) and this piece is one of the next logical steps.
If nobody knows of an existing solution, would love to collaborate with someone on creating it.
[1] - https://github.com/papers-we-love/papers-we-love/blob/main/design/out-of-the-tar-pit.pdf
-
Good papers for high school students?
Here is a great Repo on GitHub named paers-we-love. You will surely find some great papers there and also some good other resources. Hope this helps.
-
I think Zig is hard but worth it
However, f and g are interchangeable anywhere else (this is not actually true because their addresses can be obtained and compared; showing that a C-like language retains its referential transparency despite the existence of so-called l-values was the point of what I think is the first paper to introduce the notion referential transparency to the study of programming languages: https://github.com/papers-we-love/papers-we-love/blob/main/l...)
moodycamel
-
Professional Usernames
Other than that... if your stuff is good, that's a much better signal than a professional username. I've seen a lot of decently unprofessional usernames out there that get taken pretty seriously because of the good work behind them. My recent favorite is "moodycamel" who authored a great concurrent queue library in C++.
-
How should you "fix your timestep" for physics?
In c++ the moodycamel ConcurrentQueue is a good choice.
-
Efficient asynchronous programming -- search keywords/basic pointers (ha)/examples?
Here's a decent concurrent queue: moodycamel::ConcurrentQueue.
-
moodycamel VS lockfree_mpmc_queue - a user suggested alternative
2 projects | 21 Apr 2022
-
Lockless Queue Not Working
Lock free programming is hard, and probably harder than you think. I would not even try something like that myself. I would look for existing solutions, something like https://github.com/cameron314/concurrentqueue for example.
-
Simple Blocking/Nonblocking Concurrent (thread-safe) Queue Adapter, header only library
I needed a concurrent queue that would block when attempting to pop an empty queue, which allows the consuming thread to suspend while it's waiting for work. I found that using mutexes allowed me to develop a simple template adapter had several advantages with few drawbacks when compared to non-blocking queues: it can use a variety of containers, the code can be reviewed and verified as to its correctness (very hard to do with fancy concurrent programming that avoids mutexes), and it is only slightly slower than fancier solutions (when I benchmarked it originally, it was 4x slower than Moody Camel's concurrent queue, which to me is fine performance).
-
Matthias Killat - Lock-free programming for real-time systems - Meeting C++ 2021
Not literatue but an example. This is a lock-free (not wait-free!) multi-producer multi-consumer queue, not a FIFO, but access patterns should be similar - if not the same: https://github.com/cameron314/concurrentqueue
-
Learning Clojure made me return back to C/C++
If I do implement it, the most likely route I'd take is make a compiler in Clojure/clojurescript that uses Instaparse (I have a more-or-less-clojure grammar written that I was tinkering with) and generate C++ code that uses Immer for its data structures and Zug for transducers and what my not-quite-clojure would support would be heavily dependent on what the C++ code and libraries I use can do. I'd use Taskflow to implement a core.async style system (not sure how to implement channels, maybe this but I'm unsure if its a good fit, but I also haven't looked). I would ultimately want to be able to interact with C++ code, so having some way to call C++ classes (even templated ones) would be a must. I'm unsure if I would just copy (and extend as needed) Clojure's host interop functionality or not. I had toyed with the idea that you can define the native types (including templates) as part of the type annotations and then the user-level code basically just looks like a normal function. But I didn't take it very far yet, haven't had the time. The reason I'd take this approach is that I'm writing a good bit of C++ again and I'd love to do that in this not-quite-clojure language, if I did make it. A bunch of languages, like Haxe and Nim compile to C or C++, so I think its a perfectly reasonable approach, and if interop works well enough, then just like Clojure was able to leverage the Java ecosystem, not-quite-clojure could be bootstrapped by leveraging the C++ ecosystem. But its mostly just a vague dream right now.
-
Recommendations for C++ library for shared memory (multiple producers/single consumer)
I would recommend https://github.com/cameron314/concurrentqueue as it's very battle tested and fast.
-
fmtlog: fastest C++ logging library using fmtlib syntax
This was explicitly considered for spdlog (using the moodycamel::ConcurrentQueue) but rejected for the above reason. I'm not involved in the development of spdlog but personally I agree, for me it's important that log output is not all mixed up.
What are some alternatives?
Crafting Interpreters - Repository for the book "Crafting Interpreters"
Boost.Compute - A C++ GPU Computing Library for OpenCL
Flowgorithm-macOS - Flowgorithm for Mac OS
MPMCQueue.h - A bounded multi-producer multi-consumer concurrent queue written in C++11
elm-architecture-tutorial - How to create modular Elm code that scales nicely with your app
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
clojure-style-guide - A community coding style guide for the Clojure programming language
readerwriterqueue - A fast single-producer, single-consumer lock-free queue for C++
git-internals-pdf - PDF on Git Internals
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
salsa - A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
libcds - A C++ library of Concurrent Data Structures