Floating-point arithmetic is used extensively in many applications across multiple market segments. These applications often require a large number of calculations and are prevalent in financial ...

Designed to leverage the parallel processing power of the graphics processing unit (GPU), microprocessor maker Advanced Micro Devices (AMD) is detailing today its FireStream 9170 Stream Processor and ...

The rise in interest in deep learning chips for training and inference has reignited interest in how reduced precision compute can cut down on energy, bandwidth, and other constraints inherent to ...

Training deep neural networks is one of the more computationally intensive applications running in datacenters today. Arguably, training these models is even more compute-demanding than your average ...

An unfortunate reality of trying to represent continuous real numbers in a fixed space (e.g. with a limited number of bits) is that this comes with an inevitable loss of both precision and accuracy.