Intel Corporation

Ananth Sankaranarayanan

Jim Santiago Baca

Mubashir A Mian

David Zimmerman

Mrittika Ganguli

Rameshkumar G Illikkal

Pratik M Marolia

Dave B Minturn

Muralidharan Sundararajan

Alok Prakash

Subramony Sesha

Suchit Subhaschandra

Arkadiusz Chylinski

Rajneesh Bhardwaj

Sunil Raghavan

Gilbert Hyatt

Aspects of the embodiments are directed to systems, devices, and methods for accessing storage-as-memory. Embodiments include a microprocessor including a microprocessor system agent and a field programmable gate array (FPGA). The FPGA including an FPGA system agent to process memory access requests received from the microprocessor system agent across a communications link; a memory controller communicatively coupled to the system agent; and a high speed serial interface to link the system agent with a storage system. Embodiments can also include a storage device connected to the FPGA by the high speed serial interface.

Systems and methods for accessing storage-as-memory

Technologies for handling a call based on user identification include determining a personal profile identification for a user of a communal mobile communication device and initiating a call to a personal communication device using a phone number of the personal communication device and the personal profile identification. The personal communication device may apply a call treatment to the incoming call based on the personal profile identification. Additionally, the personal communication device may originate a call to a call recipient of the communal mobile communication device using a personal profile identification to identify the call recipient. The communal mobile communication device may apply a call treatment to the incoming call based on the personal profile identification.

Call handling based on user profile identification

A method comprising is described. The method includes receiving a virtual machine and a service level objective compute consumption metrics (SLO) parameters from a cloud controller, mapping the SLO parameters to resources at the compute node, monitoring utilization and performance of the virtual machine and dynamically adjusting performance of the virtual machine based on monitored performance data.

CPU overprovisioning and cloud compute workload scheduling mechanism

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Portland, OR, United States of America

Ananth Sankaranarayanan