Chapel is a parallel programming language designed to improve the productivity of high-performance computing. It allows developers to write parallel programs more easily and readably by abstracting low-level details and providing constructs for concurrent execution, data distribution, and task coordination.
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About Chapel
Chapel was created in 2009 by Cray Inc. as part of the DARPA High Productivity Computing Systems program. It aimed to increase productivity in high-performance computing by providing a higher-level, more abstract programming model that simplified parallel programming and improved code readability and maintainability.
Chapel's strengths include its high-level abstractions for parallelism, ease of use, and support for various parallel computing patterns. Weaknesses include limited adoption, a smaller community, and less mature tooling compared to more established languages. Competitors include MPI (Message Passing Interface), OpenMP, and other parallel programming languages like Julia and Python with parallel libraries.
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How to hire a Chapel expert
A Chapel expert must have proficiency in parallel programming concepts, familiarity with the Chapel language syntax and constructs, and experience with high-performance computing environments. They should also possess skills in debugging and optimizing parallel code, as well as knowledge of distributed computing and data distribution strategies.
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$ 224K
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$ 97K
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