What does parallel vs. serial actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Chin Fang told me that a lot of their transfer capability is gated by storage interface bottlenecks, but if these are overcome, they can achieve 100 Gbps data transfers for other customers using ...

Parallel Data transfer using digital hardware involves a significant amount of switching power consumption, which increases as “data activity” increases. Higher power consumption leads to. Overdesign ...

Our Global Data Platform unifies unstructured data across edge, data centers, and clouds. It provides extreme parallel performance for AI, GPUs, and high-speed data analytics, and orchestrates ...

Manifold has shipped Radian® Studio, a massively parallel data engineering environment for DBMS and GIS that anyone can afford. Radian automatically runs on thousands of GPU cores plus all CPU cores ...

Image sensors with programmable, highly parallel signal processing, so called Vision-Systems-on-Chip, perform computationally intensive tasks directly on the sensor itself. Therefore it is possible to ...

In recent times we have seen a trend where serial data transfers have been seen to be more widely used than parallel data transfer due to reasons of improved performance and data integrity. One ...

Alebra Technologies’ New Release 7 of Its Parallel Data Mover Allows Real-time Data Transfers, Lower Operating Costs and Higher Efficiency. September 06, 2017 09:00 AM Eastern Daylight Time.

The MAX3950 is designed to convert 10-Gbps serial data to 16-bit-wide, 622-Mbps parallel data. Its ability to handle FEC data rates make the MAX3950 ideal for a variety of applications in SDH ...