In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...
Reno Nev. — Sundance Digital Processing Inc.'s GDD600 is touted as a new and powerful library of floating-point DSP vectors and functions for DSP applications targeting Texas Instruments' TMS320 ...
The company has upped the ante on its TMS320C6711 DSP by raising floating-point performance up to 1,500 MFLOPS, while maintaining the same package, functions, and instruction compatibility. The device ...
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 ...
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 ...
Recently Colin Walls had an article on this site about floating point math. Once it was common for embedded engineers to scoff at floats; many have told me they have no place in this space. That’s ...
Although something that’s taken for granted these days, the ability to perform floating-point operations in hardware was, for the longest time, something reserved for people with big wallets. This ...
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