Oracle International Corporation

Lukasz Sulek

Jagwinder Singh Brar

David Dale Becker

Jacob Robert Uecker

Peter John Hill

Santosh Narayan Shilimkar

Albert A Arcuino

Marcin Jakub Zablocki

Discussed herein is a routing mechanism for graphical processing units (GPUs) that are hosted on several host machines in a cloud environment. For a packet transmitted by a GPU of a host machine and received by a network device, the network device determines an incoming port-link of the network device on which the packet was received. The network devices identifies, based on a GPU routing policy, an outgoing port-link of the network device that corresponds to the incoming port-link. The GPU routing policy is preconfigured prior to receiving the packet and establishes a mapping of each incoming port-link of the network device to a unique outgoing port-link of the network device. The packet is forwarded on the outgoing port-link of the network device.

Routing policies for graphical processing units

Discussed herein is a framework that provisions for customized processing for different classes of traffic. A network device in a communication path between a source host machine and a destination host machine extracts a tag from a packet received by the network device. The packet originates at a source executing on the source host machine and whose destination is the destination host machine. The tag set by the source and indicative of a first traffic class to be associated with the packet, the first traffic class being selected by the source from a plurality of traffic classes. The network device determines, based on the tag, that the first traffic class corresponds to a latency sensitive traffic and processes the packet using one or more settings configured at the network device for processing packets associated with the first traffic class.

Network device level optimizations for latency sensitive RDMA traffic

Discussed herein is a routing mechanism for graphical processing units (GPUs) that are hosted on several host machines in a cloud environment. For a packet transmitted by a GPU of a host machine and received by a network device, the network device determines an incoming port-link of the network device on which the packet was received. The network device obtains a flow information associated with the packet, and computes, based on the flow information, an outgoing port-link of the network device in accordance with a hashing algorithm. The hashing algorithm is configured to hash packets received on a particular incoming port-link of the network device to be transmitted on a same outgoing port-link of the network device. The network device forwards the packet on the outgoing port-link of the network device.

Techniques for transmitting test traffic on a communication link are disclosed. A computer system includes at least two nodes, interconnected by a particular communication link. A test engine associated with one of the two nodes identifies a level of data traffic being transmitted on the particular communication link. Based on the level of data traffic, the test engine selects a level of test traffic to be transmitted on the particular communication link. The node associated with the test engine transmits the selected level of test traffic on the particular communication link. The test traffic is transmitted concurrently with the data traffic on the particular communication link. The node receiving the test feedback transmits test feedback. Based on the test feedback, the test engine generates test results for the particular communication link. The test engine determines and/or executes a corrective action based on the test results.

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Redmond, WA, United States of America

Lukasz Sulek