platform VS nand2minesweeper

Compare platform vs nand2minesweeper and see what are their differences.

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platform nand2minesweeper
3 7
25 2
- -
10.0 10.0
about 3 years ago over 3 years ago
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

platform

Posts with mentions or reviews of platform. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-21.
  • Ask HN: Which books/resources to understand modern Assembler?
    6 projects | news.ycombinator.com | 21 Apr 2024
    The highload.fun wiki[0] links some resources. The intel optimization manual[1] is also useful.

    These resources are mostly aimed at solving problems for which compilers are not very useful, so there are probably other resources that are a better fit.

    [0]: https://github.com/Highload-fun/platform/wiki

    [1]: https://www.intel.com/content/www/us/en/content-details/6714...

  • SWAR find any byte from set
    2 projects | news.ycombinator.com | 8 Mar 2023
    The web site containing the article has a collection of other articles about this sort of thing. You can also read about this in some parts of Algorithms for Modern Hardware[0]. highload.fun includes some other links about this stuff[1]. In general there isn't a great guide and it's best to get your hands dirty. highload.fun happens to be a good place to do that :)

    [0]: https://en.algorithmica.org/hpc/algorithms/prefix/

    [1]: https://github.com/Highload-fun/platform/wiki

  • Cache invalidation is one of the hardest problems in computer science
    2 projects | news.ycombinator.com | 26 Nov 2022
    There are a lot of issues here, so I can share some stuff about some of them and hope that some helpful internet commenters come along and point out where I have neglected important things.

    A single modern CPU core is superscalar and has a deep instruction pipeline. With your help, it will decode and reorder many instructions and execute many instructions concurrently. Each of those instructions can operate on a lot of data.

    As famous online controversial opinion haver Casey Muratori tells us, most software just sucks, like really really bad (e.g. commonly people will post hash table benchmarks of high-performance hash tables that do bulk inserts in ~100ns/op, but you can do <10ns/op easily if you try), and using SIMD instructions is table stakes for making good use of the machinery inside of a single CPU core. SIMD instructions are not just for math! They are tools for general purpose programming, and when your program has unpredictable branches in it, it is often a lot cheaper to compute both branches and have a data dependency than to have a branch. Instructions like pshufb or blendv or just using a dang lookup table can replace branches. Wojciech Muła's web site[0] is the best collection of notes about using SIMD instructions for general-purpose programming, but I have found many of the articles to be incomplete or incorrect, and I have not yet done anything to fix the issue. "Using SIMD" ends up meaning that you choose the low-level layout of your data to be more suitable to processing using the instructions available, not just replacing the "glue code" and leaving the data the same as it was.

    Inside your single CPU core there is hardware for handling virtual -> physical address translation. This is a special cache called the translation lookaside buffer (TLB). Normally, chips other than recent Apple chips have a couple hundred entries of 1 4KiB page each in the TLB, and recent Apple chips have a couple hundred entries of 1 16KiB page each. Normal programs deal with a bit more than 1 meg of RAM today, and as a result they spend a huge portion of their execution time on TLB misses. You can fix this by using explicit huge pages on Linux. This feature nominally exists on Windows but is basically unusable for most programs because it requires the application to run as administrator and because the OS will never compact memory once it is fragmented (so the huge pages must be obtained at startup and never released, or they will disappear until you reboot). I have not tried it on Mac. As an example of a normal non-crazy program that is helped by larger pages, one person noted[1] that Linux builds 16% faster on 16K vs on 4K pages.

    Inside your single CPU core is a small hierarchy of set-associative caches. With your help, it will have the data it needs in cache almost all the time! An obvious aspect of this is that when you need to work on some data repeatedly, if you have a choice, you should do it before you have worked on a bunch of other data and caused that earlier data to be evicted (that is, you can rearrange your work to avoid "capacity misses"). A less obvious aspect of this is that if you operate on data that is too-aligned, you will greatly reduce the effective size of your cache, because all the data you are using will go into the same tiny subset of your cache! Famous online good opinion haver Dan Luu wrote about this here[2]. The links included in that post are also good resources for the topics you've asked about.

    When coordinating between multiple CPU cores, as noted in TFA, it is helpful to avoid false sharing[3]. People in industry have mostly found that it is helpful to avoid sharing *at all*, which is why they have work explicitly divided among cores and communicate over queues rather than dumping things into a concurrent hash map and hoping things work out. In general this is not a popular practice, and if you go online and post stuff like "Well, just don't allocate any memory after startup and don't pass any data between threads other than by using queues" you will lose imaginary internet points.

    There are some incantations you may want to apply if you would like Linux to prioritize running your program, which are documented in the Red Hat Low Latency Performance Tuning guide[4] and Erik Rigtorp's web site[5].

    Some other various resources are highload.fun[6], a web site where you can practice this sort of thing, a list of links associated with highload.fun[7], Sergey Slotin's excellent online book[8], and Dendi Bakh's online course[9] and blog[10].

    > Off topic: What level of sophistication about modern CPUs is _good_ to have?

    Probably none? These skills are basically unemployable as far as I can tell.

    [0]: http://0x80.pl/articles/index.html

    [1]: https://twitter.com/AtTheHackOfDawn/status/13338951151741870...

    [2]: https://danluu.com/3c-conflict/

    [3]: https://rigtorp.se/ringbuffer/

    [4]: https://access.redhat.com/sites/default/files/attachments/20...

    [5]: https://rigtorp.se/low-latency-guide/

    [6]: https://highload.fun/

    [7]: https://github.com/Highload-fun/platform/wiki

    [8]: https://en.algorithmica.org/hpc/

    [9]: https://github.com/dendibakh/perf-ninja

    [10]: https://easyperf.net/notes/

nand2minesweeper

Posts with mentions or reviews of nand2minesweeper. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-07-07.
  • From the Transistor to the Web Browser, a rough outline for a 12 week course
    4 projects | news.ycombinator.com | 7 Jul 2024
  • Ask HN: Which books/resources to understand modern Assembler?
    6 projects | news.ycombinator.com | 21 Apr 2024
  • Let's Build the GPT Tokenizer (By Andrej Karpathy) [video]
    4 projects | news.ycombinator.com | 20 Feb 2024
  • Ask HN: Do you know a good course or book to learn CS basics for teens?
    1 project | news.ycombinator.com | 16 Feb 2024
    Nand to Tetris.The Elements of Computing Systems: Building a Modern Computer from First Principles

    https://www.nand2tetris.org/

    Free (also some paid online certificate programs).

    At least worth a look.

  • Show HN: Pebble Graphics – A 3D Version of Turtle Graphics
    6 projects | news.ycombinator.com | 12 Jan 2024
    Note: If you’re logged into your Meta/Oculus/Facebook account when you visit the store page you should see an option for a free trial, if not let me know and I can send you a promo code or something

    Pebble Graphics is a modern take on Logo/turtle graphics partially inspired by stories of people’s first programming experiences on the Apple II with turtle graphics and partially influenced by essays like Bret Victor’s Learnable Programming [1]. It’s a 3D user interface for programming that emphasizes interactivity (being able to put together a program with 3D pieces and step forward and backward through execution as you’re building) and visualization of state and execution history.

    It’s been a bit of a journey to get to this point and it started here on Hacker News. I was first inspired to try out VR after seeing this post [2] of a live coding environment in VR by Brian Peiris back in 2014. After working on my own multi-user version of that project [3] I thought more about non keyboard interfaces for making programs since it wasn’t that easy with a headset on. After a few experiments, I ended up with a project where you could put together JavaScript abstract syntax trees with your hands and interactively execute them [4]. I took a brief break and then decided to see if there was anything interesting at the lower levels of computation and also take some time to study the amazing Nand to Tetris course [5], which resulted in a VR circuit simulator [6], VR CPU Emulator [7], and a very limited version of turtle graphics in VR [8]. A lot of this work was done at the wonderful Recurse Center [9], which I highly recommend and through some great discussions with members of the community there were a few stories of how people got their start in programming with turtle graphics so I decided to make a more user friendly version. I had a long time interest in startups and entrepreneurship so I took this as an opportunity to learn about that process as well and here we are. Here’s a playlist [10] of the app's development over time and the channel has some other VR and programming experiments as well. Thanks for taking the time to look!

    [1] Unfortunately it looks like the site is down at the time of this writing (https://worrydream.com/LearnableProgramming/) , but here’s some HN discussion https://news.ycombinator.com/item?id=37746918

    [2] https://news.ycombinator.com/item?id=8411638

    [3] https://github.com/ih/construct

    [4] https://github.com/ih/jsvr

    [5] https://www.nand2tetris.org/

    [6] https://github.com/ih/GatesVRE

    [7] https://github.com/ih/CPUEmulatorVR

    [8] https://github.com/ih/TurtleVR

    [9] https://www.recurse.com/

    [10] https://www.youtube.com/playlist?list=PLhmEEtPzG7mW4JrBUhwbo...

  • Turing Complete is a game about computer science
    2 projects | news.ycombinator.com | 9 Jan 2024
    I've played it a bit with my kids. It seems to take a similar to the Nand 2 Tetris course: https://www.nand2tetris.org/
  • From Nand to Tetris: Building a Modern Computer from First Principles
    6 projects | news.ycombinator.com | 22 Dec 2023
    This was an amazing course and is one of the most rewarding computer science courses I've taken! I loved that there was nothing left to "magic" and it was the first time I felt like I understood the "full stack" of the Java-like code I was writing right down to the silicon atoms.

    Self-plug for a full-blown minesweeper game I made for the final project: https://github.com/billmei/nand2minesweeper It's a complete game with a tutorial, custom RNG, and unit tests, using their hardware simulator.

What are some alternatives?

When comparing platform and nand2minesweeper you can also consider the following projects:

perf-ninja - This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

computationbook - Example code for Understanding Computation

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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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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