SIMD for C++: A High-Performance Optimization for HFT High-Frequency Trading

In the realm of HFT high-frequency trading, every microsecond counts. To achieve optimal performance, developers often turn to techniques like Single Instruction, and Multiple Data (SIMD). SIMD allows processors to execute the same operation on multiple data elements simultaneously, significantly boosting computational speed. This article delves into the intricacies of SIMD and its application to C++ for HFT.

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