Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected.

Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: Execution of a machine instruction in a central processing unit. A perform floating-point operation instruction and a test bit are obtained. If the test bit has a first value, a specified floating-point operation function is performed, and a condition code is set to a value determined by the specified function. If the test bit has a second value, a check is made to determine if the specified function is valid and installed on the machine. If the specified function is valid and installed on the machine, the condition code is set to one code value, and if the specified function is either not valid or not installed on the machine, the condition code is set to a second code value.

Abstract: Systems, methods, and products for database system transaction management are provided herein. One aspect provides for annotating via a computing device at least one data object residing on the computing device utilizing at least one transaction tag, the at least one transaction tag being configured to indicate a status of an associated data object; processing at least one database transaction utilizing a transactional memory process, wherein access to the at least one data object is determined based on the status of the at least one data object; and updating the status of the at least one data object responsive to an attempted access of the at least one data object by the at least one database transaction. Other embodiments and aspects are also described herein.

Abstract: One or more parameter changes for one or more parameters are computed at one or more worker nodes. The one or more parameters on a remote server are updated based on the computed one or more parameter changes. The updating is performed via one or more remote direct memory access atomic operations with the remote server.

Abstract: Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected.

Abstract: Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected.

Abstract: A method includes storing parameter versions utilized by learner instances in each of two or more epochs in a parameter receiving buffer of a parameter server, the learner instances performing distributed execution of workload computations of a machine learning algorithm. The method also includes creating a parameter roster in the parameter server comprising parameter version vectors specifying the parameter versions used by each of the learner instances during each of the two or more epochs. The method further includes generating one or more aggregated parameter sets for storage in an aggregated parameters buffer by aggregating parameter versions from the parameter receiving buffer based on the parameter version vectors in the parameter roster and providing aggregated parameter sets from the aggregated parameters buffer to the learner instances for deterministic replay of the distributed execution of the workload computations of the machine learning algorithm.

Abstract: Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected.

Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: Computational storage techniques for distribute computing are disclosed. The computational storage server receives input from multiple clients, which is used by the server when executing one or more computation functions. The computational storage server can aggregate multiple client inputs before applying one or more computation functions. The computational storage server sets up: a first memory area for storing input received from multiple clients; a second memory area designated for storing the computation functions to be executed by the computational storage server using the input data received from the multiple clients; a client specific memory management area for storing metadata related to computations performed by the computational storage server for specific clients; and a persistent storage area for storing checkpoints associated with aggregating computations performed by the computation functions.

Abstract: Execution of a machine instruction in a central processing unit. A perform floating-point operation instruction and a test bit are obtained. If the test bit has a first value, a specified floating-point operation function is performed, and a condition code is set to a value determined by the specified function. If the test bit has a second value, a check is made to determine if the specified function is valid and installed on the machine. If the specified function is valid and installed on the machine, the condition code is set to one code value, and if the specified function is either not valid or not installed on the machine, the condition code is set to a second code value.

Abstract: Execution of a machine instruction in a central processing unit. A perform floating-point operation instruction and a test bit are obtained. If the test bit has a first value, a specified floating-point operation function is performed, and a condition code is set to a value determined by the specified function. If the test bit has a second value, a check is made to determine if the specified function is valid and installed on the machine. If the specified function is valid and installed on the machine, the condition code is set to one code value, and if the specified function is either not valid or not installed on the machine, the condition code is set to a second code value.

Abstract: A method for compressing a group of key-value pairs, the method including dividing the group of key-value pairs into a plurality of segments, creating a plurality of blocks, each block of the plurality of blocks corresponding to a segment of the plurality of segments, and compressing each block of the plurality of blocks.

Abstract: Execution of a machine instruction in a central processing unit. A perform floating-point operation instruction and a test bit are obtained. If the test bit has a first value, a specified floating-point operation function is performed, and a condition code is set to a value determined by the specified function. If the test bit has a second value, a check is made to determine if the specified function is valid and installed on the machine. If the specified function is valid and installed on the machine, the condition code is set to one code value, and if the specified function is either not valid or not installed on the machine, the condition code is set to a second code value.

Abstract: Computational storage techniques for distribute computing are disclosed. The computational storage server receives input from multiple clients, which is used by the server when executing one or more computation functions. The computational storage server can aggregate multiple client inputs before applying one or more computation functions. The computational storage server sets up: a first memory area for storing input received from multiple clients; a second memory area designated for storing the computation functions to be executed by the computational storage server using the input data received from the multiple clients; a client specific memory management area for storing metadata related to computations performed by the computational storage server for specific clients; and a persistent storage area for storing checkpoints associated with aggregating computations performed by the computation functions.

Abstract: A method and system are disclosed for executing a machine instruction in a central processing unit. The method comprises the steps of obtaining a perform floating-point operation instruction; obtaining a test bit; and determining a value of the test bit. If the test bit has a first value, (a) a specified floating-point operation function is performed, and (b) a condition code is set to a value determined by said specified function. If the test bit has a second value, (c) a check is made to determine if said specified function is valid and installed on the machine, (d) if said specified function is valid and installed on the machine, the condition code is set to one code value, and (e) if said specified function is either not valid or not installed on the machine, the condition code is set to a second code value.