Simplex is a type of parallel programming model used to run tasks or computations across many computing devices, often simultaneously. It was invented by John Cocke of IBM in 1986 as a way to more efficiently manage larger datasets on limited computing infrastructure.
Simplex solves the issue of data fragmentation and enables the computation of large datasets by efficiently distributing the data, computations, and result storage over multiple machines. It works by splitting a data set into smaller pieces, and assigning each piece to a different computing device for processing in parallel. Results are then combined into a single result set.
Simplex is often used in high performance computing—such as in scientific and engineering applications—due to its scalability and increased performance. It is also used in distributed systems such as web applications that require large data sets to be distributed and processed across many machines.
Simplex is an important part of modern computing, and has become increasingly popular for many applications. Its ability to provide efficient parallelism and scalability makes it an attractive solution for many data processing tasks.
