An apparatus and method are provided for processing input operand values. The apparatus has a set of vector data storage elements, each vector data storage element providing a plurality of sections for storing data values. A plurality of lanes are considered to be provided within the set of storage elements, where each lane comprises a corresponding section from each vector data storage element. Processing circuitry is arranged to perform an arithmetic operation on an input operand value comprising a plurality of portions, by performing an independent arithmetic operation on each of the plurality of portions, in order to produce a result value comprising a plurality of result portions. Storage circuitry is arranged to store the result value within a selected lane of the plurality of lanes, such that each result portion is stored in a different vector data storage element within the corresponding section for the selected lane. Such an approach allows efficient processing of input operand values in a manner that is not constrained by the size of the vector data storage elements, and in particular in a way that is vector length agnostic.

A plurality of floating-point registers store data therein. A processing execution unit executes arithmetic processing by using data stored in the floating-point registers. A first switch and a second switch select a route connecting the processing execution unit and the floating-point registers. A switch control unit controls the first switch and the second switch so as to switch a route to be selected, based on a switching instruction from the processing execution unit.

A processor and method for performing outer product and outer product accumulation operations on vector operands requiring large numbers of multiplies and accumulations is disclosed.

Systems and methods are described herein for reducing an amount of power consumption in a programmable integrated circuit device configured to perform a multiplication operation. The device includes a first multiplier that generates a first partial product associated with a first set of bit locations and a second multiplier that generates a second partial product associated with a second set of bit locations that are more significant than the first set of bit locations. The device further includes a switching circuitry to deactivate the first multiplier to reduce an amount of power consumed by the programmable integrated circuit device.

A data processing apparatus and method are provided for performing rearrangement operations. The data processing apparatus has a register data store with a plurality of registers, each register storing a plurality of data elements. Processing circuitry is responsive to control signals to perform processing operations on the data elements. An instruction decoder is responsive to at least one but no more than N rearrangement instructions, where N is an odd plural number, to generate control signals to control the processing circuitry to perform a rearrangement process at least equivalent to: obtaining as source data elements the data elements stored in N registers of said register data store as identified by the at least one re-arrangement instruction; performing a rearrangement operation to rearrange the source data elements between a regular N-way interleaved order and a de-interleaved order in order to produce a sequence of result data elements; and outputting the sequence of result data elements for storing in the register data store. This provides a particularly efficient technique for performing N-way interleave and de-interleave operations, where N is an odd number, resulting in high performance, low energy consumption, and reduced register use when compared with known prior art techniques.

An operation method has processing for applying a same type of operation in parallel to N M-bit operands to obtain N M-bit operation results executed on a computer. Here, N is an integer equal to or greater than 2 and M is an integer equal to or greater than 1. The operation method includes: an operation step of applying the type of operation to an N*M-bit provisional operand that is formed by concatenating the N M-bit operands, to obtain one N*M-bit provisional operation result, and generating correction information based on an effect had, by applying the operation, on each M bits of the provisional operation result from a bit that neighbors the M bits; and a correction step of correcting the provisional operation result in M-bit units with use of the correction information, to obtain the N M-bit operation results.