Intel Concurrent Collections (CnC) is a programming model designed to simplify parallel programming by allowing developers to specify the computation in terms of steps, data, and control dependencies. It abstracts the concurrency management, enabling efficient execution on multi-core processors by automatically handling task scheduling and synchronization.
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About Intel Concurrent Collections
Intel Concurrent Collections was introduced by Intel Research in the late 2000s to address the complexities of parallel programming. It aimed to provide a structured way to manage parallelism by decoupling computation from execution details, thereby simplifying the development of scalable and efficient parallel applications.
Strengths of Intel Concurrent Collections included simplified parallel programming, automatic task scheduling, and efficient synchronization. Weaknesses involved a steep learning curve and limited adoption outside specific domains. Competitors included OpenMP, Intel Threading Building Blocks (TBB), and Cilk Plus, which offered alternative approaches to parallel programming.
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How to hire a Intel Concurrent Collections expert
An Intel Concurrent Collections expert must have strong skills in parallel programming, proficiency in C/C++, understanding of task scheduling and synchronization, experience with data flow programming models, and familiarity with multi-core processor architecture.
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$ 224K
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$ 97K
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