The arithmetic unit is one of the important components of CPU design. For computation of complex arithmetic functions on hardware, the CORDIC algorithm is an attractive fixed-point algorithm that uses ...

Originally used in applications related to national security and now frequently used for data-intensive and computation-heavy scientific and engineering purposes across industries, supercomputers aren ...

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 ...

Altera Corporation changed the game as it relates to floating-point DSP performance in an FPGA. Altera is the first programmable logic company to integrate hardened IEEE 754-compliant, floating-point ...

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 ...

Three new digital signal controllers (DSCs) from Texas Instruments promise to boost system performance, while simplifying software development for solar-power inverters and various types of industrial ...

What good is a floating point operation embodied in a vector or matrix unit if you can’t get data into fast enough to actually use the compute engine to process it in some fashion in a clock cycle?

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...

I am working on a viewshed* algorithm that does some floating point arithmetic. The algorithm sacrifices accuracy for speed and so only builds an approximate viewshed. The algorithm iteratively ...