Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for automatically allocating computing resources in a partitioned server. The method includes determining that a partition of the partitioned server requires activation of a reserve processor, determining that another partition of the partitioned server has an active processor that may be deactivated, activating the reserve processor, and deactivating the active processor. An article of manufacture including a machine-readable medium having stored thereon instructions for automatically allocating computing resources in a partitioned server.

Abstract: Increased workload performance is obtained by coordinating a multi-resource computer system such that demands for resources are arbitrated across all available resources and all applications such that the proper resource will be adjusted regardless of which resource is needed to improve workload performance. In operation, a measurement is taken for each available resource to determine the enhancement achieved by adding a certain quantity of a resource. In one embodiment, resource consumption and performance data is collected over a period of time and that data is used to adjust resource requests for a workload in order to improve the workload's performance. The resource request is modified to deliver the most workload benefit for each resource modification.

Abstract: 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.

Abstract: 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.