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 ...

For developers using FPGAs for the implementation of floating-point DSP functions, one key challenge is how to decompose the computation algorithm into sequences of parallel hardware processes while ...

Engineers targeting DSP to FPGAs have traditionally used fixed-point arithmetic, mainly because of the high cost associated with implementing floating-point arithmetic. That cost comes in the form of ...

Hardware for integer or fixed-point arithmetic is relatively simple to design, at least at the register-transfer level. If the range of values and precision that can be represented with these formats ...

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 ...

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 ...

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 ...