Floating-point computations dominate the landscape of all AI/ML compute but also in automotive, avionics and healthcare. While performance and compute errors dominated the landscape of floating-point ...

The TMS320F28P550SJ from Texas Instruments is the industry's first real-time MCU with an integrated neural processing unit (NPU). It's designed to run convolutional-neural-network (CNN) models to help ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Cleaning PV (photovoltaic) panels is essential for a PV station, as dirt or dust reduces the effective irradiation of solar energy and weakens the efficiency of converting solar energy into free ...

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...

The code to reproduce the results of the tests in [1] is available on GitHub. A different compiler can be used by setting the value of the variable compilerpath appropriately. If the chosen compiler ...

Abstract: Floating point multiplication is one of the most frequently used arithmetic operation in a wide variety of applications, but the high memory and speed requirement of the IEEE-754 standard ...

FPU Single and Double Precision This floating point unit is conform to IEEE 754-2008 standards. Supported operations are compare, min-max, conversions, addition, subtruction, multiplication, fused ...