A method for sorting of a vector in a processor is provided that includes performing, by the processor in response to a vector sort instruction, generating a control input vector for vector permutation logic comprised in the processor based on values in lanes of the vector and a sort order for the vector indicated by the vector sort instruction and storing the control input vector in a storage location.

A processor includes a plurality of execution units. At least one of the execution units is configured to repeatedly execute a first instruction based on a first field of the first instruction indicating that the first instruction is to be iteratively executed.

A method is provided that includes performing, by a processor in response to a vector sort instruction, sorting of values stored in lanes of the vector to generate a sorted vector, wherein the values in a first portion of the lanes are sorted in a first order indicated by the vector sort instruction and the values in a second portion of the lanes are sorted in a second order indicated by the vector sort instruction; and storing the sorted vector in a storage location.

A method is provided that includes performing, by a processor in response to a floating point multiply instruction, multiplication of floating point numbers, wherein determination of values of implied bits of leading bit encoded mantissas of the floating point numbers is performed in parallel with multiplication of the encoded mantissas, and storing, by the processor, a result of the floating point multiply instruction in a storage location indicated by the floating point multiply instruction.

A memory-adaptive processing method for a convolutional neural network includes a feature map counting step, a size relation counting step and a convolution calculating step. The feature map counting step is for counting a number of a plurality of input channels of a plurality of input feature maps, an input feature map tile size, a number of a plurality of output channels of a plurality of output feature maps and an output feature map tile size for a convolutional layer operation. The size relation counting step is for obtaining a cache free space size in a feature map cache and counting a size relation. The convolution calculating step is for performing the convolutional layer operation with the input feature maps to produce the output feature maps according to a memory-adaptive processing technique, and the memory-adaptive processing technique includes a dividing step and an output-group-first processing step.

Optimization of captured loops in a processor for optimizing loop replay performance, and related methods and computer-readable media are disclosed. The processor includes a loop buffer circuit configured to detect loops. In response to a detected loop, the loop buffer circuit is configured to capture loop instructions in the detected loop and replay the captured loop instructions in the instruction pipeline to be processed and executed for subsequent iterations of the loop. The loop buffer circuit is configured to determine if loop optimizations are available to be made based on a captured loop to enhance performance of loop replay. If the loop buffer circuit determines loop optimizations are available to be made based on a captured loop, the loop buffer circuit is configured to perform such loop optimizations so that such loop optimizations can be realized when the captured loop is replayed to enhance replay performance of the captured loop.

Provided are an information processing program, an information processing device, and an information processing method that enable application processing and data transmission in a non-blocking manner to increase a communication speed. A server device includes buffering means configured to accumulate events, socket writing means configured to process the events, and flag management means configured to exclusively set a flag. The socket writing means includes socket write request means and callback processing means. The flag management means exclusively sets the flag at a timing before the event processing requested by the socket write request means starts, and releases the flag at a timing after the processing by the callback processing means ends. The socket write request means receives a call, and in a case where the flag is set, the events accumulated by the buffering means are processed.

The present invention relates to a processor having a trace cache and a plurality of ALUs arranged in a matrix, comprising an analyser unit located between the trace cache and the ALUs, wherein the analyser unit analyses the code in the trace cache, detects loops, transforms the code, and issues to the ALUs sections of the code combined to blocks for joint execution for a plurality of clock cycles.

In a method of operating a computer system, an instruction loop is executed by a processor in which each iteration of the instruction loop accesses a current data vector and an associated current vector predicate. The instruction loop is repeated when the current vector predicate indicates the current data vector contains at least one valid data element and the instruction loop is exited when the current vector predicate indicates the current data vector contains no valid data elements.

A method is provided that includes receiving, in a permute network, a plurality of data elements for a vector instruction from a streaming engine, and mapping, by the permute network, the plurality of data elements to vector locations for execution of the vector instruction by a vector functional unit in a vector data path of a processor.