International Business Machines Corporation

Google Inc.

Rama Krishna Govindaraju

Peter H Hochschild

Liqun Cheng

Parthasarathy Ranganathan

Chulho Kim

Robert Sidney Blackmore

Ravi Kumar Arimilli

Balaram Sinharoy

Bruce Gerard Mealey

Satya Prakash Sharma

Kevin J Gildea

Gautam H Shah

Mandayam Thondanur Raghunath

Robert Michael Straub

Piyush Chaudhary

Nishant P Patil

Hanhong Xue

Carl Alfred Bender

William G Tuel, Jr

Paul D DiNicola

Richard Yoo

Hubertus Franke

Benjamin Charles Serebrin

Pratap Chandra Pattnaik

Vincent Olivier Vanhoucke

John Scott Houston

Leonard W Helmer, Jr

Rajeev Sivaram

Steven J Martin

Jamshed H Mirza

Benoit Steiner

Fu Chung Chang

Jason E Goscinski

David Lo

Elizabeth Anne Kon

Matthew Sarett

Jay Robert Herring

Michael Roger Marty

Donald G Grice

Andrew Gallatin

Haishan Zhu

Joseph Francis Skovira

Jang-Soo Lee

Richard A Swetz

Waiman Chan

Deryck X Hong

Patricia E Heywood

Xin Chen

Amy Xin Chen

Anan Vishwanath Hudli

Sridhar Raman

Jaroslaw Nieplocha

Yuqing Zhu

Methods, systems, and computer storage media storing instructions for managing processing system efficiency. One of the methods includes obtaining data splitting a plurality of general-purpose processing units in a processing system into a high-priority domain and a low-priority domain, wherein the general-purpose processing units in the high-priority domain are assigned to perform one or more tasks comprising one or more high-priority tasks, and the general-purpose processing units in the low-priority domain are assigned to perform one or more low-priority tasks; and during runtime of the processing system, obtaining memory usage measurements that characterize usage of system memory by the high-priority domain and the low-priority domain; and adjusting, based on the memory usage measurements, a configuration of (i) the high-priority domain, (ii) the low-priority domain, or (iii) both to adjust utilization of the system memory by the general-purpose processing units.

Managing processing system efficiency

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for caching data not frequently accessed. One of the methods includes receiving a request for data from a component of a device, determining that the data satisfies an infrequency condition, in response to determining that the data satisfies the infrequency condition: determining a target cache level which defines a cache level within a cache level hierarchy of a particular cache at which to store infrequently accessed data, the target cache level being lower than a highest cache level in the cache level hierarchy, requesting and receiving the data from a memory that is not a cache of the device, and storing the data in a level of the particular cache that is at or below the target cache level in the cache level hierarchy, and providing the data to the component.

Data caching

An example method includes during execution of a software application by a processor, receiving, by a copy processor separate from the processor, a request for an asynchronous data copy operation to copy data within a memory accessible by the copy processor, wherein the request is received from a copy manager accessible by the software application in a user space of an operating system managing execution of the software application; in response to the request, initiating, by the copy processor, the asynchronous data copy operation; continuing execution of the software application by the processor; determining, by the copy processor, that the asynchronous data copy operation has completed; and in response to determining that the asynchronous copy operation has completed, selectively notifying, by the copy processor, the software application that the asynchronous copy operation has completed.

Asynchronous copying of data within memory

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for pre-fetching data. The methods, systems, and apparatus include actions of providing a request for data to an input-output device and receiving a set of memory addresses for the requested data. Additional actions include determining a subset of the memory addresses, providing a request for a processor to pre-fetch or inject data corresponding to the subset of the memory addresses, and receiving the requested data and the set of memory addresses. Additional actions include determining that the received data includes data for the subset of memory addresses that has been requested to be pre-fetched or injected, storing the data for the subset of memory addresses in a cache of the processor, and storing remaining data of the received data for the memory addresses in a main memory.

Controlled cache injection of incoming data

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for machine level resource distribution are disclosed. In one aspect, a method is implemented in a data processing apparatus, which includes, for each server computer in a set of two or more server computers within a data center, wherein each server computer includes a plurality of processing cores, receiving wear data describing, for each processing core of the server computer, a wear level for the processing core that is indicative of accumulated wear of the processing core, and moderating accumulation of wear in the processor cores based on the wear level of the processing cores from at least two different server computers.

Machine level resource distribution

The present disclosure relates to optimized matrix multiplication using vector multiplication of interleaved matrix values. Two matrices to be multiplied are organized into specially ordered vectors, which are multiplied together to produce a portion of a product matrix.

Optimized matrix multiplication using vector multiplication of interleaved matrix values

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for pre-fetching content. One of the systems includes a pre-fetcher configured to perform operations including determining, for a virtual machine executing on a device and using a first virtual machine physical address associated with the virtual machine, a second virtual machine physical address for data to pre-fetch for the execution of the virtual machine on the device, determining, using the second virtual machine physical address and an address mapping that associates virtual machine physical addresses for the virtual machine with device physical addresses for the device, a device physical address for the data, and requesting the data from a memory using the device physical address.

Virtualization-aware prefetching

Methods, systems, and apparatus for dynamic service level objective power control in a datacenter. In one aspect, a method includes determining a current service level value that measures a current performance of the service by a set of processing devices performing the service, the service having an associated service level objective value; and for each processing device: when the current service level value does not meet the service level objective value of the service, generating a first control signal that causes a processing device performing the service to operate at a first power consumption level; and when the current service level value does meet the service level objective value of the service, generating a control signal that cause the processing device to operate at a reduced power consumption level that is less than the first power consumption level.

Dynamic service level objective power control in distributed process

Growing community of inventors

Hopewell Junction, NY, United States of America

Rama Krishna Govindaraju