Neuroblade Ltd.

Marvell Israel (misl) Ltd.

Ilan Mayer-wolf

Yaron Kittner

Yoav Markus

Carmi Arad

Rami Zemach

Eliad Hillel

Elad Sity

Gal Dayan

Gal Hai

Oded Trainin

A system for distributed storage agents includes at least one memory and at least one compute node comprising at least one agent module. The at least one agent module is configured to cause at least a portion of data stored in the at least one memory to be pushed to a destination in accordance with an agent access plan.

Read performance from disaggregated storage using distributed storage agents

A network device includes a receive processor configured to store, in a packet memory, a payload of a packet received from a communication network. The network device also includes a packet processor configured to modify one or more fields of a header of the packet to generate a modified header, perform egress classification of the packet based on the modified header, and store the modified header in the packet memory. The network device further includes a transmit processor configured to transmit the packet in accordance with the egress classification. The transmit processor is configured to, in response to a decision that the packet is to be transmitted from the network device, generate a transmit packet from the payload retrieved from the packet memory and the modified header retrieved from the packet memory and cause the transmit packet to be transmitted to a destination in the communication network.

Egress packet processing using a modified packet header separate from a stored payload

Disclosed embodiments include system including a hardware based, programmable data analytics processor configured to reside between a data storage unit and one or more hosts. The programmable data analytics processor includes a selector module configured to input a first set of data and, based on a selection indicator, output a first subset of the first set of data; a filter and project module configured to input a second set of data and, based on a function, output an updated second set of data; a join and group module configured to combine data from one or more third data sets into a combined data set; and a communications fabric configured to transfer data between any of the selector module, the filter and project module, and the join and group module.

Data analysis acceleration architecture

Growing community of inventors

Tel Aviv, Israel

Ilan Mayer-wolf