Fungible, Inc.

Apple Inc.

Microsoft Technology Licensing, LLC

Charles Edward Gray

Wael Noureddine

Felix A Marti

Jean-Marc Frailong

Paul Kim

Jerrold Von Hauck

Yannick L Sierra

Wade Benson

Petr Kostka

Samuel Gosselin

Kumar Saurav

Bertrand Serlet

Roberto G Yepez

Pratapa Reddy Vaka

Robert Yepez

Techniques are described in which a system having multiple processing units processes a series of work units in a processing pipeline, where some or all of the work units access or manipulate data stored in non-coherent memory. In one example, this disclosure describes a method that includes identifying, prior to completing processing of a first work unit with a processing unit of a processor having multiple processing units, a second work unit that is expected to be processed by the processing unit after the first work unit. The method also includes processing the first work unit, and prefetching, from non-coherent memory, data associated with the second work unit into a second cache segment of the buffer cache, wherein prefetching the data associated with the second work unit occurs concurrently with at least a portion of the processing of the first work unit by the processing unit.

Efficient work unit processing in a multicore system

A device may include a secure processor and a secure memory coupled to the secure processor. The secure memory may be inaccessible to other device systems. The secure processor may store some keys and/or entropy values in the secure memory and other keys and/or entropy values outside the secure memory. The keys and/or entropy values stored outside the secure memory may be encrypted using information stored inside the secure memory.

Cryptographic entropy tree

Techniques are described in which a device, such as a network device, compute node or storage device, is configured to utilize a work unit (WU) stack data structure in a multiple core processor system to help manage an event driven, run-to-completion programming model of an operating system executed by the multiple core processor system. The techniques may be particularly useful when processing streams of data at high rates. The WU stack may be viewed as a stack of continuation work units used to supplement a typical program stack as an efficient means of moving the program stack between cores. The work unit data structure itself is a building block in the WU stack to compose a processing pipeline and services execution. The WU stack structure carries state, memory, and other information in auxiliary variables.

Work unit stack data structures in multiple core processor system for stream data processing

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San Francisco, CA, United States of America

Charles Edward Gray