Systems, methods, and apparatuses relating to circuitry to precisely monitor memory store accesses are described. In one embodiment, a system includes a memory, a hardware processor core comprising a decoder to decode an instruction into a decoded instruction, an execution circuit to execute the decoded instruction to produce a resultant, a store buffer, and a retirement circuit to retire the instruction when a store request for the resultant from the execution circuit is queued into the store buffer for storage into the memory, and a performance monitoring circuit to mark the retired instruction for monitoring of post-retirement performance information between being queued in the store buffer and being stored in the memory, enable a store fence after the retired instruction to be inserted that causes previous store requests to complete within the memory, and on detection of completion of the store request for the instruction in the memory, store the post-retirement performance information in storage of the performance monitoring circuit.

A system for write optimization in transactional data management systems is described. The system stores a tree data structure that comprises a root, a plurality of internal nodes, and a plurality of leaf nodes. Each internal node comprises a pivot key and a child pointer. Each leaf node stores key-value pairs sorted by a corresponding key. The system forms a plurality of hybrid nodes. The hybrid nodes comprise a layer of internal nodes that are immediate parents of the plurality of leaf nodes. A buffer is formed only for each internal node of the plurality of hybrid nodes. The buffer is used to store a message that encodes an operation. The message is to be applied to the corresponding leaf nodes of the plurality of hybrid nodes.

Systems, apparatuses, and methods related to acceleration circuitry for posit operations are described. Signaling indicative of performance of an operation to write a first bit string to a first buffer resident on acceleration circuitry and a second bit string resident on the acceleration circuitry can be received at an DMA controller couplable to the acceleration circuitry. The acceleration circuitry can be configured to perform arithmetic operations, logical operations, or both on bit strings formatted in a unum or posit format. Signaling indicative of an arithmetic operation, a logical operation, or both, to be performed using the first and second bit strings can be transmitted to the acceleration circuitry. The arithmetic operation, the logical operation, or both can be performed via the acceleration circuitry and according to the signaling. Signaling indicative of a result of the arithmetic operation, the logical operation, or both can be transmitting to the DMA controller.

A computer-implemented method for managing an index table associated with a data table includes obtaining an index entry associated with a key in the data table. The computer-implemented method further includes determining whether an index page associated with the index entry is in a buffer pool, wherein the buffer pool includes a plurality of index pages loaded from the index table and at least one temp index. The computer-implemented method further includes adding, in response to determining that the index page associated with the index entry is not in the buffer pool, the index entry into the at least one temp index. The computer-implemented method further includes consolidating the at least one temp index into the index table.

The present disclosure is directed to assessing API service security and may include the steps of identifying an API service called by an application based on information provided by an agent embedded within the application; collecting telemetry associated with the API service, the telemetry collected from one or more telemetry sources and indicating any deficiencies in the API service; generating a reputation score for the API service based on analysis of the collected telemetry; and transmitting the reputation score to at least one of the following: the agent embedded within the application, wherein the reputation score is associated with at least one policy having at least one policy action, and wherein the reputation score is operable to be used by the agent to invoke the at least one policy action relating to use of the API service by the application; or a continuous integration/continuous delivery pipeline associated with the application.

Devices and techniques for pipeline merging in a circuit are described herein. A parallel pipeline result can be obtained for a transaction index of a parallel pipeline. Here, the parallel pipeline is one of several parallel pipelines that share transaction indices. An element in a vector can be marked. The element corresponds to the transaction index. The vector is one of several vectors respectively assigned to the several parallel pipelines. Further each element in the several vectors corresponds to a possible transaction index with respective elements between vectors corresponding to the same transaction index. Elements between the several vectors that correspond to the same transaction index can be compared to determine when a transaction is complete. In response to the transaction being complete, the result can be released to an output buffer in response to the transaction being complete.

A SSMA (Storage System Management Application) automates creation of a cloud provider on a cloud repository. The SSMA instructs a CTS (Cloud Tethering Subsystem) to create the cloud provider, which causes the CTS to establish a secure connection to the cloud repository. The cloud repository creates the cloud provider and returns identifying information. The CTS then tests the connection to verify that the cloud provider is reachable at the cloud repository. The SSMA also instruct a solution enabler to install the cloud provider in the storage system embedded operating system. The SSMA also implements a cloud provider synchronization verification process, which enables the SSMA to determine if there are any differences between lists of cloud providers maintained by the CTS and the embedded operating system. If any differences are detected, the SSMA automates the process of installing the correct set of cloud providers in the storage system embedded operating system.

Computer-implemented systems and methods for analyzing applications include, obtaining user data records from a server, constructing an instruction template, the instruction template includes main streams, the instruction template adding the user data records as user parameters corresponding to the main streams, transmitting the user data records to a file transfer connection, inputting the instruction template and a first command into the file transfer connection, the file transfer connection executes the first command, inputting the file transfer connection and a second command into the script file, the script file executes the second command, opening each of the main streams through the pre-defined driver program by using variable records to retrieve a plurality of in-streams of each of the main streams, aggregating the main streams and the in-streams associated with the user parameters resulting a final output, transmitting the final output to the server.

Examples herein describe techniques for transferring data between data processing engines in an array using shared memory. In one embodiment, certain engines in the array have connections to the memory in neighboring engines. For example, each engine may have its own assigned memory module which can be accessed directly (e.g., without using a streaming or memory mapped interconnect). In addition, the surrounding engines (referred to herein as the neighboring engines) may also include direct connections to the memory module. Using these direct connections, the cores can load and/or store data in the neighboring memory modules.

Techniques for implementing an on-demand serverless compute system that uses shared memory to share data between on-demand serverless compute applications are described. In some examples, a daemon of an edge device providing on-demand serverless compute is to: register launched one or more launched on-demand serverless applications, read a deployment configuration for an application using the one or more launched on-demand serverless applications, per the read deployment configuration, launch at least one data source and at least one data sink, per launched data source, register the launched data source with the device daemon, per launched data sink, register the launched data sink thread with the device daemon, match registered, launched data sources with registered, launched data sinks and launched on-demand serverless applications as defined in the deployment configuration, and for each match, register a connection first in, first out structure to be used to share data on an event driven basis between launched on-demand serverless applications.