Something happening independently at the exact same time. Concurrent vs. Consider you are given a task of singing and eating at the same time. We mentioned concurrent behaviors once when discussing the async programming model. Parallelism An application can be neither parallel nor concurrent. Happy Learning ! Neither parallel nor concurrent. In an async programming model, tasks are treated as a single step that runs multiple tasks, and they do not care about how those tasks are ordered or run to each other. In an async programming model, tasks are treated as a single step that runs multiple tasks, and they do not care about how those tasks are ordered or run to each other. Concurrent vs parallel tasks can be a bit confusing because the dictionary definitions of these terms are different from how they are applied in a worker system. $\begingroup$ Yes, concurrent and parallel programming are different. This is an important distinction. Parallelism, a very important concept in java multi-threading concepts. Concurrent. A background worker then is "concurrent" (with the UI main thread) while tasks running in parallel on multiple cores are ..uh, "parallel." Parallel Concurrent Execution. However, when they are placed in the context of a worker system that improves the flexibility and scalability of application production, their use cases become very clear. Parallel. Parallel. "the concurrent jurisdiction of courts" Concurrent (adjective) Meeting in one point. At a given instance of time either you would sing or … Thus, the threads executed on the same CPU are executed concurrently, whereas threads executed on different CPUs are executed in parallel. Concurrent (adjective) Running alongside one another on parallel courses; moving together in space. Concurrent (adjective) Involving more than one thread of computation. Concurrent vs. Concurrency & Parallelism Concurrency. The other meaning of concurrent is related to geometry, where you might say two lines were concurrent: they're going to intersect at a common point. That is to say, they're working towards the same goal. If two tasks are running concurrently, but are not running in parallel, they must be able to stop and resume their progress. In addition, concurrent has a few additional meanings, most of which amount to "in agreement," as in "two people working concurrently." An application can be parallel but not concurrent means that it only works on one task at a time and the tasks broken down into subtasks can be processed in parallel. ! It is possible to have parallel concurrent execution, where threads are distributed among multiple CPUs. Tasks that are in progress at the same time, but not necessarily progressing simultaneously. See a demonstration on multiple threads executing concurrently on a single processor and then executing in parallel on multiple processors to achieve greater throughput, and gain an understanding of why parallel execution requires parallel hardware. When the two threads (or processes) are executed on two different cores (or processors), you have parallelism. We mentioned concurrent behaviors once when discussing the async programming model. Parallel. Note that, in this case, only one process can be in running state. Moreover, some use term parallel processing for two or more active processes sharing the same processor concurrently. This means that it works on only one task at a time and the task is never broken into subtasks. But I recently used the term "concurrent" in an article about applying machine learning models (e.g., CNTK) to large sets of data for classification purposes. 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