Abstract: Embodiments detailed herein relate to matrix operations. In particular, tile diagonal support is described. For example, a processor is detailed having decode circuitry to decode an instruction having fields for an opcode, a source operand identifier, and a destination matrix operand identifier; and execution circuitry to execute the decoded instruction to write the identified source operand to each element along a main diagonal of the identified destination matrix operand.

Abstract: An apparatus and method for processing efficient multicast operation.

Abstract: Disclosed embodiments relate to instructions for fast element unpacking. In one example, a processor includes fetch circuitry to fetch an instruction whose format includes fields to specify an opcode and locations of an Array-of-Structures (AOS) source matrix and one or more Structure of Arrays (SOA) destination matrices, wherein: the specified opcode calls for unpacking elements of the specified AOS source matrix into the specified Structure of Arrays (SOA) destination matrices, the AOS source matrix is to contain N structures each containing K elements of different types, with same-typed elements in consecutive structures separated by a stride, the SOA destination matrices together contain K segregated groups, each containing N same-typed elements, decode circuitry to decode the fetched instruction, and execution circuitry, responsive to the decoded instruction, to unpack each element of the specified AOS matrix into one of the K element types of the one or more SOA matrices.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: An accelerator for increasing the processing speed of a processor. The accelerator operates in two distinct modes. In a first mode for dense layer processing, row data sets and column data sets are sent to a multiplier for multiplication. In a second mode for sparse layer processing compressed row data sets are received by a row multiplexer and compressed column data sets are received by a column multiplexer. Each multiplexer is configured to compare the indexes of data sets with one another to determine matching indexes. When indexes match, the matching data sets are selected and sent to the multiplier for multiplication. When indexes do not match, data sets are stored in memory devices for subsequent cycles.

Abstract: Disclosed embodiments relate to systems and methods for performing instructions specifying ternary tile operations. In one example, a processor includes fetch and decode circuitry to fetch and decode an instruction specifying a ternary tile operation, and locations of destination and first, second, and third source matrices, each of the matrices having M rows by N columns; and execution circuitry to respond to the decoded instruction by, for each equal-sized group of K elements of the specified first, second, and third source matrices, generate K results by performing the ternary tile operation in parallel on K corresponding elements of the specified first, second, and third source matrices, and store each of the K results to a corresponding element of the specified destination matrix, wherein corresponding elements of the specified source and destination matrices occupy a same relative position within their associated matrix.

Abstract: Disclosed embodiments relate to systems and methods for performing instructions specifying horizontal tile operations. In one example, a processor includes fetch circuitry to fetch an instruction specifying a horizontal tile operation, a location of a M by N source matrix comprising K groups of elements, and locations of K destinations, wherein each of the K groups of elements comprises the same number of elements, decode circuitry to decode the fetched instruction, and execution circuitry to respond to the decoded instruction by generating K results, each result being generated by performing the specified horizontal tile operation across every element of a corresponding group of the K groups, and writing each generated result to a corresponding location of the K specified destination locations.

Abstract: Methods and apparatus to optimize package level power state usage are described. In one embodiment, a processor control logic receives a request to enter a lower power consumption state (such as a package level deeper sleep state). The control logic determines the time difference or delta between a last entry into the lower power consumption state and the current time. The control logic then causes the flushing of a last level cache based on a comparison of the time difference and a threshold value corresponding to the lower power consumption state. Other embodiments are also claimed and disclosed.

Abstract: An apparatus may comprise one or more processor cores of a processor and a set of current limiters. Each current limiter may be coupled to a respective processor core and arranged to monitor processor activity in the processor, to compare the processor activity to one or more current limits of multiple current limits; and to initiate a current-limiting action when the one or more current limits is exceeded.

Abstract: Methods, apparatuses, and systems for managing power of a processing unit are described herein. Some embodiments include determining a voltage variation of a subset of current components of a current consumed by a processing unit. Other embodiments include detecting architectural events on a processing core of the processing unit and instituting various actions to reduce an input rate of instructions to the core. Other embodiments may be described and claimed.

Abstract: Methods and apparatus to optimize package level power state usage are described. In one embodiment, a processor control logic receives a request to enter a lower power consumption state (such as a package level deeper sleep state). The control logic determines the time difference or delta between a last entry into the lower power consumption state and the current time. The control logic then causes the flushing of a last level cache based on a comparison of the time difference and a threshold value corresponding to the lower power consumption state. Other embodiments are also claimed and disclosed.

Abstract: Methods, apparatuses, and systems for managing power of a processing unit are described herein. Some embodiments include determining a voltage variation of a subset of current components of a current consumed by a processing unit. Other embodiments include detecting architectural events on a processing core of the processing unit and instituting various actions to reduce an input rate of instructions to the core. Other embodiments may be described and claimed.

Abstract: Techniques are disclosed involving techniques that may dynamically adjust processor (e.g., CPU) performance. For instance, an apparatus includes a counter, an efficiency determination module, and a management module. The counter determines a number of event occurrences, wherein each of the event occurrences involves a processor component (e.g., a processor core) awaiting a response from a device. The efficiency determination module determines an efficiency metric based on the number of event occurrences. The management module establishes one or more operational characteristics for the processor component that correspond to the efficiency metric. Other embodiments are described and claimed.