Abstract: A method, computer program product, and system includes a processor obtaining data including values and generating a value conversion dictionary by applying a parse tree based compression algorithm to the data, where the value conversion dictionary includes dictionary entries that represent the values. The processor obtains a distribution of the values and estimates a likelihood for each based on the distribution. The processor generates a code word to represent each value, a size of each code word is inversely proportional to the likelihood of the word. The processor assigns a rank to each code word, the rank for each represents the likelihood of the value represented by the code word; and based on the rank associated with each code word, the processor reorders each dictionary entry in the value conversion dictionary to associate each dictionary entry with an equivalent rank, the reordered value conversion dictionary comprises an architected dictionary.

Abstract: Saving and restoring machine state between multiple executions of an instruction. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. Based on determining that the processing of the operation has been interrupted, current metadata of the processor is extracted. The metadata is stored in a location associated with the instruction and used to re-execute the instruction to resume forward processing of the instruction from where it was interrupted.

Abstract: A method, computer program product, and system includes a processor obtaining data including values and generating a value conversion dictionary by applying a parse tree based compression algorithm to the data, where the value conversion dictionary includes dictionary entries that represent the values. The processor obtains a distribution of the values and estimates a likelihood for each based on the distribution. The processor generates a code word to represent each value, a size of each code word is inversely proportional to the likelihood of the word. The processor assigns a rank to each code word, the rank for each represents the likelihood of the value represented by the code word; and based on the rank associated with each code word, the processor reorders each dictionary entry in the value conversion dictionary to associate each dictionary entry with an equivalent rank, the reordered value conversion dictionary comprises an architected dictionary.

Abstract: A Sort Lists instruction is provided to perform a sort and/or a merge operation. The instruction is an architected machine instruction of an instruction set architecture and is executed by a general-purpose processor of the computing environment. The executing includes sorting a plurality of input lists to obtain one or more sorted output lists, which are output.

Abstract: Saving and restoring machine state between multiple executions of an instruction. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. Based on determining that the processing of the operation has been interrupted, current metadata of the processor is extracted. The metadata is stored in a location associated with the instruction and used to re-execute the instruction to resume forward processing of the instruction from where it was interrupted.

Abstract: Saving and restoring machine state between multiple executions of an instruction. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. Based on determining that the processing of the operation has been interrupted, current metadata of the processor is extracted. The metadata is stored in a location associated with the instruction and used to re-execute the instruction to resume forward processing of the instruction from where it was interrupted.

Abstract: Embodiments of the present invention provide systems and methods for increasing the efficiency of data conversion in a coprocessor by using the statistical occurrence of data patterns to convert frequently occurring data patterns in one conversion cycle. In one embodiment, a coprocessor system is disclosed containing a converter engine, which includes a parser and a converter, an input buffer, and a result store. The input buffer is configured to transfer a set of source data to the converter engine, which converts the source data from first code format to a second code format, and sends the converted source data to the result store.

Abstract: A Sort Lists instruction is provided to perform a sort and/or a merge operation. The instruction is an architected machine instruction of an instruction set architecture and is executed by a general-purpose processor of the computing environment. The executing includes sorting a plurality of input lists to obtain one or more sorted output lists, which are output.

Abstract: Saving and restoring machine state between multiple executions of an instruction. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. Based on determining that the processing of the operation has been interrupted, current metadata of the processor is extracted. The metadata is stored in a location associated with the instruction and used to re-execute the instruction to resume forward processing of the instruction from where it was interrupted.

Abstract: A Sort Lists instruction is provided to perform a sort and/or a merge operation. The instruction is an architected machine instruction of an instruction set architecture and is executed by a general-purpose processor of the computing environment. The executing includes sorting a plurality of input lists to obtain one or more sorted output lists, which are output.

Abstract: Migration of partially completed instructions. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. The instruction is re-executed on a selected processor to resume forward processing of the instruction. The re-executing includes determining whether model-dependent metadata is to be used by the selected processor in re-executing the instruction. Based on determining the model-dependent metadata is to be used, the model-dependent metadata is used in re-executing the instruction. Based on determining the model-dependent metadata is not to be used, proceeding with re-executing the instruction without using the model-dependent metadata.

Abstract: Saving and restoring machine state between multiple executions of an instruction. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. Based on determining that the processing of the operation has been interrupted, current metadata of the processor is extracted. The metadata is stored in a location associated with the instruction and used to re-execute the instruction to resume forward processing of the instruction from where it was interrupted.

Abstract: Embodiments of the present invention provide systems and methods for increasing the efficiency of data conversion in a coprocessor by using the statistical occurrence of data patterns to convert frequently occurring data patterns in one conversion cycle. In one embodiment, a coprocessor system is disclosed containing a converter engine, which includes a parser and a converter, an input buffer, and a result store. The input buffer is configured to transfer a set of source data to the converter engine, which converts the source data from first code format to a second code format, and sends the converted source data to the result store.

Abstract: Migration of partially completed instructions. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. The instruction is re-executed on a selected processor to resume forward processing of the instruction. The re-executing includes determining whether model-dependent metadata is to be used by the selected processor in re-executing the instruction. Based on determining the model-dependent metadata is to be used, the model-dependent metadata is used in re-executing the instruction. Based on determining the model-dependent metadata is not to be used, proceeding with re-executing the instruction without using the model-dependent metadata.

Abstract: Storage accesses for merge operations are minimized. A plurality of records of a plurality of input lists are merged. The merging includes determining that an input list of the plurality of input lists has become empty, and checking, based on determining that the input list has become empty, a control specific for the input list. The control is used to determine how to proceed, such as whether to end merging or continue merging.

Abstract: A Sort Lists instruction is provided to perform a sort and/or a merge operation. The instruction is an architected machine instruction of an instruction set architecture and is executed by a general-purpose processor of the computing environment. The executing includes sorting a plurality of input lists to obtain one or more sorted output lists, which are output.

Abstract: Saving and restoring machine state between multiple executions of an instruction. A determination is made that processing of an operation of an instruction executing on a processor has been interrupted prior to completion. Based on determining that the processing of the operation has been interrupted, current metadata of the processor is extracted. The metadata is stored in a location associated with the instruction and used to re-execute the instruction to resume forward processing of the instruction from where it was interrupted.

Abstract: A method, computer program product, and system includes a processor obtaining data including values and generating a value conversion dictionary by applying a parse tree based compression algorithm to the data, where the value conversion dictionary includes dictionary entries that represent the values. The processor obtains a distribution of the values and estimates a likelihood for each based on the distribution. The processor generates a code word to represent each value, a size of each code word is inversely proportional to the likelihood of the word. The processor assigns a rank to each code word, the rank for each represents the likelihood of the value represented by the code word; and based on the rank associated with each code word, the processor reorders each dictionary entry in the value conversion dictionary to associate each dictionary entry with an equivalent rank, the reordered value conversion dictionary comprises an architected dictionary.

Abstract: A method, computer program product, and system includes a processor obtaining data including values and generating a value conversion dictionary by applying a parse tree based compression algorithm to the data, where the value conversion dictionary includes dictionary entries that represent the values. The processor obtains a distribution of the values and estimates a likelihood for each based on the distribution. The processor generates a code word to represent each value, a size of each code word is inversely proportional to the likelihood of the word. The processor assigns a rank to each code word, the rank for each represents the likelihood of the value represented by the code word; and based on the rank associated with each code word, the processor reorders each dictionary entry in the value conversion dictionary to associate each dictionary entry with an equivalent rank, the reordered value conversion dictionary comprises an architected dictionary.

Abstract: Embodiments of the present invention provide systems and methods for increasing the efficiency of data conversion in a coprocessor by using the statistical occurrence of data patterns to convert frequently occurring data patterns in one conversion cycle. In one embodiment, a coprocessor system is disclosed containing a converter engine, which includes a parser and a converter, an input buffer, and a result store. The input buffer is configured to transfer a set of source data to the converter engine, which converts the source data from first code format to a second code format, and sends the converted source data to the result store.