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Description

ispc is a compelling alternative to C for developers working on data-parallel workloads. Its core strength lies in its SPMD extensions, which are tailored for problems where the same operation must be applied to many data elements. This makes it exceptionally well-suited for creating high-performance apps that run natively on the CPU, from real-time signal processing to complex scientific computations. The language comes with a practical set of tools and illustrative examples, reducing the learning curve and enabling rapid development of optimized, parallel code that taps directly into the CPU's computational power.

Screenshots

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