A method for designing a system on a target device includes identifying portions in the system to preserve based on comparing structural characteristics of the system with another system. Design results from the another system are reused for portions in the system that are preserved.

There is provided a computer-implemented method for automatically managing storage resources of a distributed file system comprising: obtaining actual past storage usage data of a first directory from a plurality of directories of the distributed file system to a current time; detecting, a space quota limit for the first directory and associated with a pre-defined expected future time; determining from the actual past storage usage data, projected storage usage data of the first directory over a future time period; obtaining an aggregated correction coefficient providing an indication of aggregated projected storage usage needs of remaining other directories relative to the first directory; in response to determining an expected value of the projected storage usage data at the expected future time is inconsistent with the space quota limit, adjusting the space quota limit to a new quota limit based on the expected value weighted by the aggregated correction coefficient.

A computer device reads an indicator from a configuration file that identifies a granularity of units of data at which to track validity. The granularity is one of a plurality of granularities ranging from one unit of data to many units of data. The computer device generates a machine-readable file configured to cause a processing device of a memory system to track validity at the identified granularity using a plurality of data validity counters with each data validity counter in the plurality of data validity counters tracking validity of a group of units of data at the identified granularity. The computer device transfers the machine-readable file to a memory of the memory system.

Systems, methods, and computer-readable media for triggering table entries characterizing workflow-related communications occurring between workflow participants are disclosed. The systems and methods may involve presenting a table via a display, the table containing rows and columns defining cells, the rows and cells being configured to manage respective roles of the workflow participants; presenting on the display at least one active link for enabling workflow participants to join in a video or an audio communication; logging in memory, characteristics of the communication including identities of the workflow participants who joined in the communication; and generating an object associated with the table, the object containing the characteristics of the communication logged in memory.

There is provided a computer-implemented method for automatically managing storage resources of a distributed file system comprising: obtaining actual past storage usage data of a first directory from a plurality of directories of the distributed file system to a current time; detecting, a space quota limit for the first directory and associated with a pre-defined expected future time; determining from the actual past storage usage data, projected storage usage data of the first directory over a future time period; obtaining an aggregated correction coefficient providing an indication of aggregated projected storage usage needs of remaining other directories relative to the first directory; in response to determining an expected value of the projected storage usage data at the expected future time is inconsistent with the space quota limit, adjusting the space quota limit to a new quota limit based on the expected value weighted by the aggregated correction coefficient.

A digital data processor includes an instruction memory storing instructions specifying data processing operations and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and an instruction decoder to perform an operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the operation. The operational unit is configured to perform a table recall in response to a look up table read instruction by recalling data elements from a specified location and adjacent location to the specified location, in a specified number of at least one table and storing the recalled data elements in successive slots in a destination register. Recalled data elements include at least one interpolated data element in the adjacent location.

A framework for implementing just-in-time decision support analytics within a business application deployment are provided. In one set of embodiments, the framework enables an application user to be presented with analytics that are in-context and in-place with respect to an operational workflow carried out by the user, where “in-context” means that the presented analytics are directly relevant to, and tailored for, the specific business context of the user's operational workflow, and “in-place” means that the analytics are displayed to the user within the same UI/application used to execute the operational workflow, and at the same time the workflow is actually executed. These characteristics advantageously ensure that the user is provided with the insights he/she needs to make confident business decisions and facilitates real-time decision making for time-critical operations.

A system or a method for providing pacing guidance to an individual for a particular activity based on a physiological strain index (PSI) or an adaptive physiological strain index (aPSI). The system in at least one embodiment includes a heart rate monitor, a memory storing multiple pacing templates, a clock, an activity completion module, an output device, and a processor configured to perform multiple steps resulting in outputting pacing information to the individual. The pacing information selected in at least one embodiment is based on the individual's heart rate that provides in part a PSI or aPSI, the elapsed time for the activity, and the amount of progress through the activity.

A database contains a corpus of incident reports, a machine learning (ML) model trained to calculate paragraph vectors of the incident reports, and a look-up set table that contains a list of paragraph vectors respectively associated with sets of the incident reports. A plurality of ML worker nodes each store the look-up set table and are configured to execute the ML model. An update thread is configured to: determine that the look-up set table has expired; update the look-up set table by: (i) adding a first set of incident reports received since a most recent update of the look-up set table, and (ii) removing a second set of incident reports containing timestamps that are no longer within a sliding time window; store, in the database, the look-up set table as updated; and transmit, to the ML worker nodes, respective indications that the look-up set table has been updated.

A method includes decoding, by at least one hardware processor, a request for a user-defined function (UDF). The request includes a reference to one or more files. The method further includes generating, by the at least one hardware processor, the UDF based on the request. The UDF includes a file reference object with file path information corresponding to the reference. The file path information identifies a file path to the one or more files. A UDF call into the UDF is detected. The UDF call specifies the file path information. The UDF call is processed to generate result data using the one or more files.