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  2. Comparison of online source code playgrounds - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_online...

    Playground Access PHP Ruby/Rails Python/Django SQL Other DB Fiddle [am]: Free & Paid No No No Yes MySQL, PostgreSQL, SQLite dbfiddle [an]: Free No No No Yes Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB

  3. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    In both cases, the features must be part of the language syntax and not an extension such as a library (libraries such as the posix-thread library implement a parallel execution model but lack the syntax and grammar required to be a programming language).

  4. Java concurrency - Wikipedia

    en.wikipedia.org/wiki/Java_concurrency

    Each thread can be scheduled [5] on a different CPU core [6] or use time-slicing on a single hardware processor, or time-slicing on many hardware processors. There is no general solution to how Java threads are mapped to native OS threads. Every JVM implementation can do this differently. Each thread is associated with an instance of the class ...

  5. Jump threading - Wikipedia

    en.wikipedia.org/wiki/Jump_threading

    In computing, jump threading is a compiler optimization of one jump directly to a second jump. If the second condition is a subset or inverse of the first, it can be eliminated, or threaded through the first jump. [1] This is easily done in a single pass through the program, following acyclic chained jumps until the compiler arrives at a fixed ...

  6. Java virtual machine - Wikipedia

    en.wikipedia.org/wiki/Java_virtual_machine

    A Java virtual machine (JVM) is a virtual machine that enables a computer to run Java programs as well as programs written in other languages that are also compiled to Java bytecode. The JVM is detailed by a specification that formally describes what is required in a JVM implementation.

  7. Automatic parallelization - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization

    Automatic parallelization by compilers or tools is very difficult due to the following reasons: [6] dependence analysis is hard for code that uses indirect addressing, pointers, recursion, or indirect function calls because it is difficult to detect such dependencies at compile time; loops have an unknown number of iterations;

  8. Green thread - Wikipedia

    en.wikipedia.org/wiki/Green_thread

    Green threads refers to the name of the original thread library for Java programming language (that was released in version 1.1 and then Green threads were abandoned in version 1.3 to native threads). It was designed by The Green Team at Sun Microsystems. [2]

  9. Threaded code - Wikipedia

    en.wikipedia.org/wiki/Threaded_code

    Some programmers consider the "p-code" generated by some Pascal compilers, as well as the bytecodes used by .NET, Java, BASIC and some C compilers, to be token-threading. A common approach, historically, is bytecode , which typically uses 8-bit opcodes with a stack-based virtual machine.