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an xUnit unit test framework for Bourne-based shell scripts bats-core [14] Bats-Core: Bash Automated Testing System ShellSpec [15] BDD style unit testing framework. Supports all POSIX compliant shells including Bash, Dash, Ksh and Zsh. Nestable blocks that realize local scope and easy mocking. Parallel execution. RSpec-like/TAP/JUnit XML Reporter.
xUnit is a label used for an automated testing software framework that shares significant structure and functionality that is traceable to a common progenitor SUnit.. The SUnit framework was ported to Java by Kent Beck and Erich Gamma as JUnit which gained wide popularity.
xUnit.net is a free and open-source unit testing tool for the .NET Framework, written by the original author of NUnit. The software can also be used with .NET Core and [2] Mono. It is licensed under Apache License 2.0, and the source code is available on GitHub. [3] xUnit.net works with Xamarin, ReSharper, CodeRush, and TestDriven.NET. [4]
Parallel Thread Execution (PTX or NVPTX [1]) is a low-level parallel thread execution virtual machine and instruction set architecture used in Nvidia's Compute Unified Device Architecture programming environment.
Thread Level Speculation (TLS), also known as Speculative Multi-threading, or Speculative Parallelization, [1] is a technique to speculatively execute a section of computer code that is anticipated to be executed later in parallel with the normal execution on a separate independent thread. Such a speculative thread may need to make assumptions ...
"Embarrassingly" is used here to refer to parallelization problems which are "embarrassingly easy". [4] The term may imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods."
Loop-level parallelism is a form of parallelism in software programming that is concerned with extracting parallel tasks from loops.The opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data structures.
The programming control structures on which autoparallelization places the most focus are loops, because, in general, most of the execution time of a program takes place inside some form of loop. There are two main approaches to parallelization of loops: pipelined multi-threading and cyclic multi-threading. [ 3 ]