SAN JOSE, Calif.--(BUSINESS WIRE)--Cadence Design Systems, Inc. (Nasdaq: CDNS) today unveiled the Cadence ® Tensilica ® FloatingPoint DSP family, which provides a scalable and configurable solution ...

Because so many microcontrollers now include a floating-point unit (FPU) that performs math operations, engineers can tackle a wider range of applications that rely on precise values for control ...

Microchip Technology Inc. rolled out its new series within its high-performance PIC32MZ family of 32-bit microcontrollers (MCUs) that features an integrated hardware floating point unit (FPU) for high ...

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 ...

Many numerical applications typically use floating-point types to compute values. However, in some platforms, a floating-point unit may not be available. Other platforms may have a floating-point unit ...

Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...

A way to represent very large and very small numbers using the same quantity of numeric positions. Floating point also enables calculating a wide range of numbers very quickly. Although floating point ...

Low-energy DSP IP optimizes power, performance and area, offering up to 40% area savings for mobile, automotive, consumer and hyperscale computing markets The highly scalable Cadence® Tensilica® ...