[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...

Floating-point arithmetic is a cornerstone of modern computational science, providing an efficient means to approximate real numbers within a finite precision framework. Its ubiquity across scientific ...

In this video from the HPC Advisory Council Australia Conference, John Gustafson from the National University of Singapore presents: Beating Floating Point at its own game – Posit Arithmetic. “Dr.

Floating-point arithmetic is a cornerstone of numerical computation, enabling the approximate representation of real numbers in a format that balances range and precision. Its widespread applicability ...

Floating Point (FP) multiplication is widely used in large set of scientific and signal processing computation. Multiplication is one of the common arithmetic operations in these computations. A high ...

Freescale Semiconductor has added floating point capability to its QorIQ Qonverge B4 range of DSP-based system-on-chip devices. The B4420 and B4860 are the first devices in the family to include ...

The new Half type is composed of 16 bits and will be geared towards speeding up machine learning workflows by enabling faster computation and smaller storage requirements at the expense of precision.

The original article is published on Nervana site: Accelerating Neural Networks with Binary Arithmetic. Please go to Nervana Homepage to learn more on Intel Nervana's deep learning technologies. At ...

Editor's Note: This is the first article in a two-part series on decimal representations and decimal arithmetic in general, and on Binary Coded Decimal (BCD) in particular. In this first installment, ...