As defined by the IEEE 754 standard, floating-point values are represented in three fields: a significand or mantissa, a sign bit for the significand and an exponent field. The exponent is a biased ...

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 ...

Texas Instruments Incorporated has introduced the TMS320C6743 digital signal processor (DSP) which combines the ease-of-use and precision of floating-point programming with the connectivity and ...

To address the challenge, we propose a programmable LUT-based area-efficient PIM architecture capable of performing various low-precision floating point (FP) computations using a novel LUT-oriented ...

May 10, 2006 - Digital Core Design, the Intellectual Property (IP) provider, today announces the release of a DFPMU-DP – Double Precision Floating Point Coprocessor. The DFPMU-DP is a 64-bit Double ...

The Tesla S870 server board is really the big breakthrough for NVIDIA, since it represents their first product designed for the HPC datacenter. It fits in a 1U chassis, contains four GPUs, and ...

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 ...

If you want a CPU that has the floating point performance of a GPU, all you have to do is wait six or so years and the CPU roadmaps can catch up. This seems like a long time to wait, which is why so ...