Micron Technology Incorporated

Hewlett-packard Development Company, L.P.

Isom Lawrence Crawford, Jr

John D Leidel

Troy Don Miller

Graham Kirsch

Thomas Edwin Turicchi, Jr

Francisco J Romero

Gregory D Jordan

Michael D Murphy

Examples of the present disclosure provide apparatuses and methods for direct data transfer. An example method comprises transferring data between a first device and a second device, wherein the first device is a bit vector operation device, and transforming the data using a data transform engine (DTE) by rearranging the data to enable the data to be stored on the first device when transferring the data between the second device and first memory device.

Data transfer with a bit vector operation device

The present disclosure includes apparatuses and methods updating a register in memory. An example includes an array of memory cells; and a controller coupled to the array of memory cells configured to perform logical operations on data stored in the array of memory cells using a register that is updated to access the data stored in the array of memory cells.

Updating a register in memory

A user definition of a memory shape can be received and a multidimensional, contiguous, physical portion of a memory array can be allocated according to the memory shape. The user definition of the memory shape can include a quantity of contiguous columns of the memory array, a quantity of contiguous rows of the memory array, and a major dimension of the memory shape. The major dimension can correspond to a dimension by which to initially stride data stored in the memory shape.

Memory shapes

A method includes replicating a data pattern to be searched for, storing the replicated data pattern into a first row of memory cells, and comparing the replicated data pattern to data stored into a second row of memory cells. In response to detecting the data pattern in the data stored into the second row of memory cells, storing into a third row a value indicative of at least one of an occurrence of the data pattern or a position of the searched for data pattern in the data stored into the row of memory cells.

Methods and apparatuses for searching data stored in a memory array using a replicated data pattern

Storing data elements of different lengths in respective adjacent rows or columns according to memory shapes

A method includes comparing, in parallel, a data pattern with data stored into a plurality of columns of memory cells, and in response to detecting the data pattern in the data stored into a particular column of memory cells of the plurality of columns of memory cells, storing in a memory cell of the particular column a value indicative of at least one of an occurrence of the data pattern or a position of the data pattern in the data stored into the particular column.

Searching data in parallel using processor-in-memory devices

In one embodiment, a method comprises executing respective workload management processes within a plurality of computing compartments to allocate at least processor resources to applications executed within the plurality of computing compartments, selecting a master workload management process to reallocate processor resources between the plurality of computing compartments in response to requests from the workload management processes to receive additional resources, monitoring operations of the master workload management process by the other workload management processes, detecting, by the other workload management processes, when the master workload management process becomes inoperable, and selecting a replacement master workload management process by the other workload management processes in response to the detecting.

System and method for replacing an inoperable master workload management process

In one embodiment, a method for allocating computing resources comprises executing a plurality of applications and a grid virtual system within a shared resource domain, assigning computing resources to the plurality of applications to process application transactions, dynamically reallocating computing resources associated with the plurality of applications to the grid virtual system when the computing resources are idle, registering availability of grid services in response to the reallocating, scheduling grid jobs for execution within the grid virtual system, and modifying at least one reallocation parameter in response to the scheduling.

System and method for allocating computing resources for a grid virtual system

In one embodiment, a method for allocating resources in a shared resource domain comprises gathering performance data for multiple applications, determining that an application of the multiple applications is not achieving a service level objective (SLO), calculating an additional amount of a resource for the application estimated to cause the application to achieve the SLO, and examining, before initiating reallocation operations, at least one system characteristic to determine whether the calculated additional amount of the resource would improve performance of the application.

System and method for allocating resources by examining a system characteristic

In one embodiment, a system comprises a plurality of computing containers having processing resources for executing software workloads, a plurality of management processes for controlling access to the processing resources according to workload policy definitions, a data container for storing a plurality of workload policy definitions and associations between the plurality of workload policy definitions and the plurality of computing containers, and a configuration process for communicating workload policy definitions from the data container to the plurality of management processes.

Growing community of inventors

Richardson, TX, United States of America

Isom Lawrence Crawford, Jr