What is vectorization

MicroVEctor(µV) Board utilizes Helium MVE (ARMv8.1-M Vector Extension), a technique that involves processing multiple data points simultaneously using SIMD (Single Instruction, Multiple Data) instructions, which allow the processor to execute the same operation on multiple data items simultaneously. Vectorization allows embedded systems to achieve significant performance improvements.

Loop vectorization

µV-board is designed to accelerate the execution of loops, which are common in embedded systems. By utilizing vectorization techniques, the board can process multiple iterations of a loop simultaneously, significantly improving performance. This is particularly beneficial for applications that involve heavy data processing, such as image processing, machine learning, signal processing Industrial-automation.

One of the standout features of the ARM Helium MVE Extension is its ability to eliminate the need for offloading data to external accelerators. Helium is integrated directly into the CPU instruction set and provides a versatile range of operations, including:

• Arithmetic Operations: Add, Subtract, Multiply, Reciprocal, Negate.
• Bitwise Logic: OR, XOR, AND, NOT, and more.
• Data Manipulation: Absolute Value, Offset, Clipping, Scaling, Shifting.
• Vector Operations: Dot Product, Multiply-Accumulate (MAC).
• Fast Math Functions: Sine, Cosine, Tangent, Logarithm, Square Root, and more.
• Matrix Operations: Addition, Scaling, Subtraction, Transposition, Multiplication.
• Complex Matrix Operations: Multiplication, Transposition.
• Statistical Functions: Accumulation, Mean, Variance, Standard Deviation, Power, Mean Squared Error (MSE), Root Mean Square (RMS).
• Complex Math: Conjugate, Dot Product, Magnitude, Magnitude Squared.

Project Sources

For more details and to explore the project further, visit our GitHub project page. The project is open source, and all hardware and firmware sources will be released soon. Join the discussions and stay updated by participating on our GitHub page!