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.

A compute device to manage workflow to disaggregated computing resources is provided. The compute device comprises a compute engine receive a workload processing request, the workload processing request defined by at least one request parameter, determine at least one accelerator device capable of processing a workload in accordance with the at least one request parameter, transmit a workload to the at least one accelerator device, receive a work product produced by the at least one accelerator device from the workload, and provide the work product to an application.

Technologies for connecting data cables in a data center are disclosed. In the illustrative embodiment, racks of the data center are grouped into different zones based on the distance from the racks in a given zone to a network switch. All of the racks in a given zone are connected to the network switch using data cables of the same length. In some embodiments, certain physical resources such as storage may be placed in racks that are in zones closer to the network switch and therefore use shorter data cables with lower latency. An orchestrator server may, in some embodiments, schedule workloads or create virtual servers based on the different zones and corresponding latency of different physical resources.

Systems and methods for fully-automated contact-less biometric measurement include receiving a stream of image frames from an internet capable device. Frame data is extracted from the stream of image frames. A predictive load balancer selects a worker server based on a load prediction. An interface delivery server communicates the frame data from the internet capable device to the worker server. A set of patient face images captured by the frame data are extracted. A facial recognition machine learning model determines a patient identity associated with the set of patient face images of the frame data. A shared memory system stores the set of patient face images. The worker server determines biometric measurements based on the set of patient face images in the shared memory system using independent biometric data processing pipelines with shared access to the shared memory system for inter-process communication.

Embodiments described herein provide techniques to manage drivers in a user space in a data processing system. One embodiment provides a data processing system configured perform operations, comprising discovering a hardware device communicatively coupled to the communication bus, launching a user space driver daemon, establishing an inter-process communication (IPC) link between a first proxy interface for the user space driver daemon and a second proxy interface for a server process in a kernel space, receiving, at the first proxy interface, an access right to enable access to a memory buffer in the kernel space, and relaying an access request for the memory buffer from the user space driver daemon via a third-party proxy interface to enable the user space driver daemon to access the memory buffer, the access request based on the access right.

An apparatus includes a command buffer configured to temporarily store commands. The apparatus also includes processing units disposed at a substrate. The processing units are configured to access a plurality of copies of a command from the command buffer. The processing units include first processing units (such as fixed function hardware blocks) to perform geometry operations indicated by the command on a set of primitives. The geometry operations are performed concurrently by the first processing units. The processing units also include second processing units (such as shaders) to process mutually exclusive sets of pixels generated by rasterizing the set of primitives. The apparatus also includes a cache to temporarily store the pixels after shading by the shaders. The processing units stop or interrupt processing commands in response to detecting a synchronization point and resume processing the commands in response to all the processing units completing commands before synchronization point.

Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a system is disclosed comprising a stream processor configured to process events emitted by an event stream and output processed events; a queue configured to receive the processed events from the stream processor; a spooler configured to read the processed events from the queue and write the processed events to a buffer; and an auditor process configured to extract a written event from the buffer and confirm that the written event matches an event present in the event stream.

Systems and methods are directed to remote validation and preview. An example system receives an indication of a portion of the data pipeline to be processed, generates a data pipeline configuration file describing operations in the portion of the data pipeline, causes a software framework to perform operations corresponding to the portion of the data pipeline, receives results of the operations corresponding to the portion of the data pipeline, and causes presentation of the results on a graphical user interface of a computing device.

A method to operate a first service instance set associated with a first storage resource node. The first service instance set may be for a service, and the first storage resource node may store context data for the service. An access context request may be transmitted to the first storage resource node, and the access context request may include an identification for a subgroup of context data being requested from the first storage resource node. An access context response may be received from the first storage resource node. The access context response may correspond to the access context request, and the access context response may include the subgroup of context data corresponding to the identification.

A host system compiles a set of local programs which are provided over a network to a plurality of subsystems. By defining the synchronisation activity on the host, and then providing that information to the subsystems, the host can service a large number of subsystems. The defined synchronisation activity includes defining the synchronisation groups between which synchronisation barriers occur and the points during program execution at which data exchange with the host occurs. Defining synchronisation activity between the subsystems allows a large number of subsystems to be connecting whilst minimising the required exchanges with the host.