dictomaton VS multiversion-concurrency-contro

Say you want to compute all strings of length 5 that the automaton can generate. Conceptually the nicest way is to create an automaton that matches any five characters and then compute the intersection between that automaton and the regex automaton. Then you can generate all the strings in the intersection automaton. Of course, IRL, you wouldn't actually generate the intersection (you can easily do this on the fly), but you get the idea.

Automata are really a lost art in modern natural language processing. We used to do things like store a large vocabulary in an deterministic acyclic minimized automaton (nice and compact, so-called dictionary automaton). And then to find, say all words within Levenshtein distance 2 of hacker, create a Levenshtein automaton for hacker and then compute (on the fly) the intersection between the Levenshtein automaton and the dictionary automaton. The language of the automaton is then all words within the intersection automaton.

I wrote a Java package a decade ago that implements some of this stuff:

https://github.com/danieldk/dictomaton

Also related: Levenshtein automata - automata for words that match every word within a given Levenshtein distance. The intersection of a Levenshtein automaton of a word and a DAWG gives you an automaton of all words within the given edit distance.

I haven't done any Java in years, but I made a Java package in 2013 that supports: DAWGs, Levenshtein automata and perfect hash automata:

https://github.com/danieldk/dictomaton

https://github.com/samsquire/multiversion-concurrency-contro...

And I implemented a 3 way text diff with myers algorithm based on https://blog.jcoglan.com/2017/02/12/the-myers-diff-algorithm...

https://github.com/samsquire/text-diff

I implemented an eventually consistent mesh protocol that uses timestamps to provide last write wins

I think I lean towards per-thread sharding instead of mutex based or lock free data structures except for lockfree ringbuffers.

You can get embarassingly parallel performance if you split your data by thread and aggregate periodically.

If you need a consistent view of your entire set of data, that is slow path with sharding.

In my experiments with multithreaded software I simulate a bank where many bankaccounts are randomly withdrawn from and deposited to. https://github.com/samsquire/multiversion-concurrency-contro...

I get 700 million requests per second due to the sharding of money over accounts.

If you want some sample code to implement MVCC, I implemented MVCC in multithreaded Java as a toy example

https://github.com/samsquire/multiversion-concurrency-contro...

First read TransactionC.java then read MVCC.java

I wrote an unrolled switch statement in Java to simulate eager async/await across treads.

https://github.com/samsquire/multiversion-concurrency-contro...

The goal is that a compiler should generate this for you. This code is equivalent to the following:

   task1:

https://doc.rust-lang.org/book/ch16-00-concurrency.html

I've been working on implementing Java async/await state machine with switch statements and a scheduling loop. If the user doesn't await the async task handle, then the task's returnvalue is never handled. This is similar to the Go problem with the go statement.

https://github.com/samsquire/multiversion-concurrency-contro...

If your async call returns a handle and

yield value2++

https://github.com/samsquire/multiversion-concurrency-contro...

I am still working on allowing multiple coroutines to be in flight in parallel at the same time. At the moment the tasks share the same background thread.

I asked this stackoverflow question regarding C++ coroutines, as I wanted to use coroutines with a thread pool.

https://stackoverflow.com/questions/74520133/how-can-i-pass-...

This is very interesting. Thank you for submitting this and thank you for working on this.

I am highly interested in parallelism and high concurrency. I implemented multiversion concurrency control in Java.

https://github.com/samsquire/multiversion-concurrency-contro...

I am curious how to handle replication with high concurrency. I'm not sure how you detect dangerous reads+writes to the same key (tuples/fields) across different replica machines. In other words, multiple master.

I am aware Google uses truetime and some form of timestamp ordering and detection of interfering timestamps. But I'm not sure how to replicate that.

I began working on an algorithm to synchronize database records, do a sort, then a hash for each row where hash(row) = hash(previous_row.hash + row.data)

Then do a binary search on hashes matching/not matching. This is a synchronization algorithm I'm designing that requires minimal data transfer but multiple round trips.

The binary search would check the end of the data set for hash(replica_a.row[last]) == hash(replica_b.row[last]) then split the hash list in half and check the middle item, this shall tell you which row and which columns are different.

https://github.com/samsquire/multiversion-concurrency-contro...

I want to redesign the architecture of the async/await to be easier to understand. I want to use a state machine somehow.

I wrote an unrolled state machine for my async/await in Java. This models a simple async/await program and runs tasks on other threads - without locks. I use a design I call token ring parallelism, where threads take turns and are linked together in a ring structure.

https://github.com/samsquire/multiversion-concurrency-contro...

I wrote a own lock free algorithm here that I use to do message passing between actor threads. My goal is high throughput performance and low latency.

https://github.com/samsquire/multiversion-concurrency-contro...

With 11 threads (on a 12 core processor, deliberately left one core for Windows)

I then started writing a parser for a high level language and then code generation from the AST to the imaginary assembly. My interpreter is multithreaded and can send integers between interpreters. It is very early and doesn't do much.

Code is at https://github.com/samsquire/multiversion-concurrency-contro...

The high level language looks similar to Javascript except I tried to parse everything as an expression. I need to parse functions as expressions.

I was experimenting with Protothreads in C recently to try understand how it worked and I wrote a giant switch statement and a while loop in Java to simulate async/await. It would be interesting to do codegen for coroutines.

here's that giant switch statement and scheduler https://github.com/samsquire/multiversion-concurrency-contro...

One idea for a stackless design I had was to preallocate memory for each method call for a call to that function and avoid a stack altogether. This would allow coroutines between methods and avoid the function colour problem because everything is a coroutine.

Is there any communities for programming language developers? Where do all the language developers meet up and talk theory and implementation? I am on eatonphil's discord and we talk there.

One problem I am trying to understand how to solve is how you would write a multithreaded interpreter and language that allowed parallel interpretation similar to C# and Java. If the allocator is thread safe and you share an object pool between interpreters and you hash object equality by sourcecode, then you could send objects between threads with only a synchronization cost.

I believe Python has the problem that object identity is different in each subinterpreter so you need to marshall the data.