Abstract: 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.

Abstract: 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.

Abstract: The present invention provides a method and system for the dynamic distribution of an array in a parallel computing environment. The present invention obtains a criterion for distributing an array and performs flexible portioning based on the obtained criterion. In some embodiment analysis may be performed based on the criterion. The flexible portioning is then performed based on the analysis.

Abstract: The present invention provides a method and system for the dynamic distribution of an array in a parallel computing environment. The present invention obtains a criterion for distributing an array and performs flexible portioning based on the obtained criterion. In some embodiment analysis may be performed based on the criterion. The flexible portioning is then performed based on the analysis.

Abstract: 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.

Abstract: 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.

Abstract: The present invention provides a method and system for the dynamic distribution of an array in a parallel computing environment. The present invention obtains a criterion for distributing an array and performs flexible portioning based on the obtained criterion. In some embodiment analysis may be performed based on the criterion. The flexible portioning is then performed based on the analysis.

Abstract: The present invention provides a method and system for the dynamic distribution of an array in a parallel computing environment. The present invention obtains a criterion for distributing an array and performs flexible portioning based on the obtained criterion. In some embodiment analysis may be performed based on the criterion. The flexible portioning is then performed based on the analysis.

Abstract: The present invention provides a method and system for the dynamic distribution of an array in a parallel computing environment. The present invention obtains a criterion for distributing an array and performs flexible portioning based on the obtained criterion. In some embodiment analysis may be performed based on the criterion. The flexible portioning is then performed based on the analysis.

Abstract: The present invention provides a method and system for the dynamic distribution of an array in a parallel computing environment. The present invention obtains a criterion for distributing an array and performs flexible portioning based on the obtained criterion. In some embodiment analysis may be performed based on the criterion. The flexible portioning is then performed based on the analysis.

Abstract: The present invention provides a method and system to implement a distributed array using the distributed property as an attribute attachable to an array. The present invention maintains the top level array implementation so as to avoid making the top level users to learn how to use a brand new class for creating and manipulating distributed arrays.