dataparallella
Dataparallella is a parallel processing architecture designed to accelerate data-intensive applications. It combines the capabilities of a traditional CPU with a many-core coprocessor, allowing for simultaneous processing of large datasets. The architecture is particularly well-suited for applications in scientific computing, machine learning, and big data analytics.
The core component of Dataparallella is the Epiphany Integrated Co-Processor (EIC), which consists of 16 or
The EIC is connected to the host CPU via a high-speed interconnect, allowing for seamless data transfer
Dataparallella is designed to be scalable, with the ability to add more EICs to increase the number
The architecture also includes a range of software tools and libraries to simplify the development of parallel
In summary, Dataparallella is a powerful parallel processing architecture designed to accelerate data-intensive applications. Its combination