Vmware, Inc.

Accenture Global Solutions Limited

Irfan Ulla Khan

Andrei Warkentin

Cyprien Laplace

Alexander Fainkichen

Harvey Tuch

Keerthi B Kumar

Prashant Wason

Halesh Sadashiv

Jayalekshmy Nair

Saikat Jana

Rohan Rohan

In some examples, natural language processing (NLP) and artificial intelligence based searching may include identifying named entities in text from a corpus of documents. References in the text may be resolved with the identified named entities. Links between the named entities may be determined, and a bi-direction rootless graph may be generated. Semantic relationships may be determined from text of the named entities, and blacklist keywords may be identified. Machine learning classification may be performed based on a pair of the named entities and a blacklist keyword. A classification may be determined based on the pair of named entities and the blacklist keyword, and a rule may be identified that specifies which named entity in the pair is to be flagged. Further, a node in the graph may be flagged based on an association with the named entity identified according to the rule.

Natural language processing and artificial intelligence based search system

An example method of provisioning a virtual machine in a cloud system includes: receiving a request to provision the virtual machine in the cloud system; provisioning a first virtual machine managed by a hypervisor executing on a host computer in the cloud system, the hypervisor allocating resources to the first virtual machine; provisioning a nested hypervisor in the first virtual machine; and provisioning the virtual machine to execute on the nested hypervisor without re-virtualizing the resources allocated by the hypervisor to the nested hypervisor.

Nested hypervisor to run virtual machines on public clouds

A method is provided for handling interrupts in a processor, the interrupts including regular interrupts having a range of priorities and a pseudo non-maskable interrupt (PNMI) that is of a higher priority than any of the regular interrupts. The method includes the steps of obtaining an interrupt vector corresponding to a received interrupt, and if the received interrupt is a regular interrupt, enabling interrupts in the processor so that a PNMI can be received while handling the regular interrupt, executing a regular interrupt handler using the interrupt vector, and disabling interrupts in the processor. On the other hand, if the received interrupt is a PNMI, a PNMI interrupt handler is executed using the interrupt vector as an input thereto.

Implementing pseudo non-masking interrupts behavior using a priority interrupt controller

A method is provided for handling interrupts in a processor, the interrupts including regular interrupts having a range of priorities and a pseudo non-maskable interrupt (PNMI) that is of a higher priority than any of the regular interrupts. The method includes obtaining an interrupt vector corresponding to a received interrupt, and if the received interrupt is a PNMI, executing a PNMI interrupt handler. If the received interrupt is a regular interrupt, the method further comprises reading a mask flag that indicates whether regular interrupts are enabled in an interrupt controller and further: if the mask flag indicates that regular interrupts are enabled, enabling interrupts in the processor so that a PNMI can be received while handling the regular interrupt, executing, a regular interrupt handler, and disabling interrupts in the processor; and if the mask flag indicates that regular interrupts are disabled, saving the interrupt vector for subsequent handling.

Growing community of inventors

Bengaluru, India

Irfan Ulla Khan