Abstract: An embodiment of a semiconductor package apparatus may include technology to embed one or more trigger operations in one or more messages related to collective operations for a neural network, and issue the one or more messages related to the collective operations to a hardware-based message scheduler in a desired order of execution. Other embodiments are disclosed and claimed.

Abstract: An embodiment of an integrated circuit may comprise local memory, a plurality of per-page counters located in a non-system-addressable region of the local memory, and circuitry coupled to the local memory, the circuitry to count accesses to pages of a system-addressable memory space with the plurality of per-page counters located in the non-system-addressable region of the local memory. Other embodiments are disclosed and claimed.

Abstract: Examples described herein relate to a switch, when operational, that is configured to receive in a packet an indicator of number of remaining bytes in a flow and to selectively send a congestion message based on a fullness level of a buffer and indication of remainder of the flow. In some examples, the indicator is received in an Internet Protocol version 4 consistent Options header field or Internet Protocol version 6 consistent Flow label field. In some examples, the congestion message comprises one or more of: an Explicit Congestion Control Notification (ECN), priority-based flow control (PFC), and/or in-band telemetry (INT). In some examples, to selectively send a congestion message to a transmitter based on a fullness level of a buffer that stored the packet and the number of remaining bytes in flow, the switch is to determine whether the buffer is large enough to store the remaining bytes in the flow.

Abstract: Examples described herein relate to a network interface and at least one processor that is to indicate whether data is associated with a machine learning operation or non-machine learning operation to manage traversal of the data through one or more network elements to a destination network element and cause the network interface to include an indication in a packet of whether the packet includes machine learning data or non-machine learning data. In some examples, the indication in a packet of whether the packet includes machine learning data or non-machine learning data comprises a priority level and wherein one or more higher priority levels identify machine learning data. In some examples, for machine learning data, the priority level is based on whether the data is associated with inference, training, or re-training operations. In some examples, for machine learning data, the priority level is based on whether the data is associated with real-time or time insensitive inference operations.

Abstract: An embodiment of a semiconductor package apparatus may include technology to embed one or more trigger operations in one or more messages related to collective operations for a neural network, and issue the one or more messages related to the collective operations to a hardware-based message scheduler in a desired order of execution. Other embodiments are disclosed and claimed.