26 SMALL PCIe TRANSFERS PCIe is designed for large data transfers But fine-grained copy/compute overlap prefers small transfers So how small can we go? Video compression standards such as MPEG2 and MPEG4 are designed for streaming over unreliable links. MIMD, or multiple instruction multiple data, is another common form of parallel processing which each computer has two or more of its own processors and will get data from separate data streams. Functional groups, … 25 STREAMS & CONCURRENCY 8 streams 2 streams 1 stream Can keep on breaking work into smaller chunks and saving time. It may also be an effort such as requirements definition which involves members of multiple groups, for example, in product development, marketing, product development, engineering, and manufacturing. Consequently, it easy to treat a single video stream as a sequence of smaller, standalone streams. Java 8 - Streams - Stream is a new abstract layer introduced in Java 8. 27 APPARENTLY NOT THAT SMALL. For example, consider th Streams filter() and collect() 1.1 Before Java 8, … count(), max(..), toArray(..), collect(..). 28 FROM GPU … harnessing the power of multiple processors is a key requirement in meeting the real-time requirements of such an application. 1. In Java SE 8 it’s easy: just replace stream() with parallel Stream(), as shown in Listing 3, and the Streams API will internally decompose your query to leverage the multiple cores on your computer. These methods store the provided functions rather than evaluating them at the same time, associate them with 'this' stream instance for later use (at the actual traversal step in the terminal method) and then return a new instance of the Stream ; Terminal operations: These methods produce some result e.g. In this tutorial, we will show you few Java 8 examples to demonstrate the use of Streams filter(), collect(), findAny() and orElse(). Using stream, you can process data in a declarative way similar to SQL statements. Streams •Definition: a possibly-infinite sequence of elements supporting sequential or parallel aggregate operations possibly-infinite: elements are processed lazily sequential or parallel: two kinds of streams aggregate: operations act on the entire stream •contrast: iterators •Some stream sources Copy. Definition Classes Stream → IterableOps → IterableOnceOps Annotations @tailrec () final def collectFirst [B] (pf: PartialFunction[A, B]): Option[B] Finds the first element of the immutable sequence for which the given partial function is defined, and applies the partial function to it. A work stream may be the work of a functional area such as application development, training, business analysis, sales, product delivery, and engineering. up Saved Time Stream 2 Stream 1 Single Stream. Too 8 many 2 1. Another, less used, type of parallel processing includes MISD, or multiple instruction single data, where each processor will use a different algorithm with the same input data.