Ready for the most demanding workloads, Atrevido supports large memory capacities with its 64-bit native data path. With its complete MMU support, Atrevido is also Linux-ready, including multiprocessing.

 

The Atrevido core with its out-of-order scheduling engine combined with our Gazzillion technology can deal with highly sparse data, with long memory latencies and with high bandwidth memory systems, typical of current machine learning applications.

 

The Gazzillion technology is specifically designed for Recommendation Systems, a key part of DataCenter Machine Learning.

 

By supporting hundreds of misses per Atrevido, you can build an SoC that smoothly delivers highly sparse data to the compute engines without a large silicon investment. Furthermore, the 2-way Out-of-Order core helps accelerating the not-so-parallel portions of Recommendation Systems.

 

Atrevido supports the upcoming RISC-V Vector Specification 1.0 as well as SemiDynamics Open Vector Interface, giving you freedom of choice between your own custom vector unit and using Semidynamics offerings. Vector Instructions densely encode lots of computations, thereby reducing energy per operation. Vector Gather instructions support sparse tensor weights efficiently, helping machine learning workloads.

 

Atrevido supports cache-coherent Multiprocessing environments. Its native CHI interface can be tailored down to ACE or AXI, depending on your needs. Be it 2, 4, or hundreds of cores, Atrevido is ready for your next SOC.

 

You can purchase the Atrevido core here