Technologies for an accelerator interface over Ethernet are disclosed. In the illustrative embodiment, a network interface controller of a compute device may receive a data packet. If the network interface controller determines that the data packet should be pre-processed (e.g., decrypted) with a remote accelerator device, the network interface controller may encapsulate the data packet in an encapsulating network packet and send the encapsulating network packet to a remote accelerator device on a remote compute device. The remote accelerator device may pre-process the data packet (e.g., decrypt the data packet) and send it back to the network interface controller. The network interface controller may then send the pre-processed packet to a processor of the compute device.

Technologies for an accelerator interface over Ethernet are disclosed. In the illustrative embodiment, a network interface controller of a compute device may receive a data packet. If the network interface controller determines that the data packet should be pre-processed (e.g., decrypted) with a remote accelerator device, the network interface controller may encapsulate the data packet in an encapsulating network packet and send the encapsulating network packet to a remote accelerator device on a remote compute device. The remote accelerator device may pre-process the data packet (e.g., decrypt the data packet) and send it back to the network interface controller. The network interface controller may then send the pre-processed packet to a processor of the compute device.

Aspects of the technology described herein are directed towards systems, methods, and computer storage media for, among other things, providing personalized notification management. Notifications can be communicated to a user upon receipt or queued for subsequent handling based on a probability that the user will interact with the notification within a threshold elapsed time from presentation, if it is presented. The probability is determined based on a user's past interactions with similar notifications. The interactions of other users with notifications can also be considered to determine the probability. The notifications can be managed by a notification broker.

Method, apparatus, and program means for performing a string comparison operation. In one embodiment, an apparatus includes execution resources to execute a first instruction. In response to the first instruction, said execution resources store a result of a comparison between each data element of a first and second operand corresponding to a first and second text string, respectively.

Method, apparatus, and program means for performing a string comparison operation. In one embodiment, an apparatus includes execution resources to execute a first instruction. In response to the first instruction, said execution resources store a result of a comparison between each data element of a first and second operand corresponding to a first and second text string, respectively.

Embodiments of apparatus and method for matrix multiplication using processing-in-memory (PIM) are disclosed. In an example, an apparatus for matrix multiplication includes an array of tiles that each include one or more PIM blocks. A PIM block may include a hybrid-mode PIM block that may be configured into a digital mode or an analog mode. The PIM block configured into digital mode may perform operations associated with depth-wise (DW) convolution. On the other hand, a PIM block configured into analog mode may perform operations associated with point-wise (PW) convolution. A controller may be used to configure the PIM block into either digital mode or analog mode, depending on the computations.

Embodiments of apparatus and method for matrix multiplication using processing-in-memory (PIM) are disclosed. In an example, an apparatus for matrix multiplication includes an array of tiles that each include one or more PIM blocks. A PIM block may include a hybrid-mode PIM block that may be configured into a digital mode or an analog mode. The PIM block configured into digital mode may perform operations associated with depth-wise (DW) convolution. On the other hand, a PIM block configured into analog mode may perform operations associated with point-wise (PW) convolution. A controller may be used to configure the PIM block into either digital mode or analog mode, depending on the computations.

A system receives a request for data stored in an OVSDB database server, wherein the request comprises a JSON RPC request. In response to the request, the system initiates a proxy session by: creating a first communication session between the requesting entity and a proxy daemon, wherein the request indicates a first version corresponding to the first communication session; and creating a second communication session between the proxy daemon and the database server, wherein the second communication session is associated with a second version corresponding to a model used by the database server. The system determines that the first version does not match the second version. The system extracts, from the request, a JSON RPC method and determines that the method requires translation. The system performs, based on the first and second version, translation of a payload of the request, and sends the translated payload to the database server.

A method for obfuscating an application programming interface (API) can include creating a polarization library. The library can include for each of a plurality of websites: website endpoints, corresponding website endpoint parameters, and an assigned industry category. An API structure of a root API to be obfuscated can be extracted, including root endpoints and corresponding root endpoint parameters. An industry category can be identified for the root API and a website is selected from the polarization library that is in an industry category that is distinct from the root API category. An obfuscator API is created with the extracted API structure using website endpoints and website endpoint parameters from the selected website that match the structure of the root API.

A method for sorting of a vector in a processor is provided that includes performing, by the processor in response to a vector sort instruction, generating a control input vector for vector permutation logic comprised in the processor based on values in lanes of the vector and a sort order for the vector indicated by the vector sort instruction and storing the control input vector in a storage location.