The Mathworks, Inc.

Switchboard Incorporated

Michael Procopio

Jocelyn Martin

Penelope Anderson

Thomas Lane

Richard Amos

Wei Wang

James Stewart

Aaditya Kalsi

Nicholas Haddad

Anandan Rangasamy

Yashwanth Annapureddy

Edric Mark Ellis

Aaron J Powers

Lucio Andrade-Cetto

Dean Polnerow

James M Canon, Jr

Lawrence Z Warner

David A Wright

Danil Kirsanov

Nancy Blum

Kari Sortland

Benjamin Tordoff

According to some embodiments, a method for making input data available for processing by one or more processors comprises storing one or more parameters, wherein the one or more parameters comprise information identifying a location of the input data; and creating a datastore object using the one or more parameters, wherein the datastore object interfaces the input data and includes a read method for reading a chunk, the chunk being a subset of the input data, and having a size that does not exceed a memory size assigned to the one or more processors. According to some embodiments, the one or more parameters further comprise one or more of a type of the input data; a format of the input data; an offset for reading from the input data; a size of the chunk; a condition for determining the chunk; and a query for deriving the input data.

Datastore mechanism for managing out-of-memory data

A device may include one or more processors. The device may receive program code that identifies operations to be performed with regard to a data set to determine an output value. The device may identify a plurality of read operations corresponding to the operations. The plurality of read operations may be performed to obtain respective inputs of the operations. The device may generate a first data structure that identifies the operations and the plurality of read operations. The device may identify two or more operations, of the operations, that receive a particular input. The device may generate a second data structure that includes a combined operation. The combined operation may be generated based on the two or more operations, and may be associated with fewer read operations than the two or more operations. The device may determine the output value based on the second data structure.

Big data read-write reduction

According to some embodiments, a method for processing input data comprises creating a MapReducer object corresponding to a MapReduce environment; and receiving, by a MapReduce interface, a plurality of input parameters comprising the input data; a mapper function; a reducer function; and the MapReducer object; and using the MapReduce interface to process the input data by one or more processors in the MapReduce environment using the mapper function and the reducer function. According to some embodiments, the method further comprises creating a second MapReducer object, wherein the second MapReducer object corresponds to a second MapReduce environment; receiving, by the MapReduce interface, the second MapReducer object in place of the first MapReducer object; and utilizing the MapReduce interface to process the input data by the one or more processors in the second MapReduce environment using the mapper function and the reducer function.

Unified mapreduce framework for large-scale data processing

A directory service has a number of databases and a processing system with a number of processors. A first processor receives requests and passes them to one of a number of other processors to access one of the databases. The service has a firewall and a monitor outside the firewall for randomly generating names to access the database. A configuration manager communicates with applications in the database and processors and with a directory to cause applications to reconfigure in response to certain events.

On-line directory service with a plurality of databases and processors

Growing community of inventors

Sudbury, MA, United States of America

Michael Procopio