Patent classifications
G06F15/8084
Method and apparatus for efficiently managing architectural register state of a processor
An apparatus and method for efficiently managing the architectural state of a processor. For example, one embodiment of a processor comprises: a source mask register to be logically subdivided into at least a first portion to store a usable portion of a mask value and a second portion to store an indication of whether the usable portion of the mask value has been updated; a control register to store an unusable portion of the mask value; architectural state management logic to read the indication to determine whether the mask value has been updated prior to performing a store operation, wherein if the mask value has been updated, then the architectural state management logic is to read the usable portion of the mask value from the first portion of the source mask register and zero out bits of the unusable portion of the mask value to generate a final mask value to be saved to memory, and wherein if the mask value has not been updated, then the architectural state management logic is to concatenate the usable portion of the mask value with the unusable portion of the mask value read from the control register to generate a final mask value to be saved to memory.
Apparatus and method of vector unit sharing
A reconfigurable vector processor is described that allows the size of its vector units to be changed in order to process vectors of different sizes. The reconfigurable vector processor comprises a plurality of processor units. Each of the processor units comprises a control unit for decoding instructions and generating control signals, a scalar unit for processing instructions on scalar data, and a vector unit for processing instructions on vector data under control of control signals. The reconfigurable vector processor architecture also comprises a vector control selector for selectively providing control signals generated by one processor unit of the plurality of processor units to the vector unit of a different processor unit of the plurality of processor units.
Memories and methods for performing vector atomic memory operations with mask control and variable data length and data unit size
Memories and methods for performing an atomic memory operation are disclosed, including a memory having a memory store, operation logic, and a command decoder. Operation logic can be configured to receive data and perform operations thereon in accordance with internal control signals. A command decoder can be configured to receive command packets having at least a memory command portion in which a memory command is provided and data configuration portion in which configuration information related to data associated with a command packet is provided. The command decoder is further configured to generate a command control signal based at least in part on the memory command and further configured to generate control signal based at least in part on the configuration information.
General-Purpose Systolic Array
A systolic array cell is described, the cell including two general-purpose arithmetic logic units (ALUs) and register-file. A plurality of the cells may be configured in a matrix or array, such that the output of the first ALU in a first cell is provided to a second cell to the right of the first cell, and the output of the second ALU in the first cell is provided to a third cell below the first cell. The two ALUs in each cell of the array allow for processing of a different instruction in each cycle.
General-purpose systolic array
A systolic array cell is described, the cell including two general-purpose arithmetic logic units (ALUs) and register-file. A plurality of the cells may be configured in a matrix or array, such that the output of the first ALU in a first cell is provided to a second cell to the right of the first cell, and the output of the second ALU in the first cell is provided to a third cell below the first cell. The two ALUs in each cell of the array allow for processing of a different instruction in each cycle.
Providing multi-element multi-vector (MEMV) register file access in vector-processor-based devices
Providing multi-element multi-vector (MEMV) register file access in vector-processor-based devices is disclosed. In this regard, a vector-processor-based device includes a vector processor comprising multiple processing elements (PEs) communicatively coupled via a corresponding plurality of channels to a vector register file comprising a plurality of memory banks. The vector processor provides a direct memory access (DMA) controller that is configured to receive a plurality of vectors that each comprise a plurality of vector elements representing operands for processing a loop iteration. The DMA controller arranges the vectors in the vector register file such that, for each group of vectors to be accessed in parallel, vector elements for each vector are stored consecutively, but corresponding vector elements of consecutive vectors are stored in different memory banks of the vector register file. As a result, multiple elements of multiple vectors may be accessed with a single vector register file access operation.
Arithmetic unit
Provided is an arithmetic processing to reduce a number of parts as it is not necessary to prepare an operation device for each input processing logic. A plurality of types of input processing logics is stored in the ROM, and CPU selects one of the plurality of types of input processing logics and executes input processing according to the selected input processing logic. As a result, there is no need to prepare the ECU for each input processing logic, reducing the number of parts.
Vector Processor with Vector First and Multiple Lane Configuration
A vector processor with a vector first and multi-lane configuration. A vector operation for a vector processor can include a single vector or multiple vectors as input. Multiple lanes for the input can be used to accelerate the operation in parallel. And, a vector first configuration can enhance the multiple lanes by reducing the number of elements accessed in the lanes to perform the operation in parallel.
Methods and systems for fast set-membership tests using one or more processors that support single instruction multiple data instructions
Methods and apparatuses for determining set-membership using Single Instruction Multiple Data (SIMD) architecture are presented herein. Specifically, methods and apparatuses are discussed for determining, in parallel, whether multiple values in a first set of values are members of a second set of values. Many of the methods and systems discussed herein are applied to determining whether one or more rows in a dictionary-encoded column of a database table satisfy one or more conditions based on the dictionary-encoded column. However, the methods and systems discussed herein may apply to many applications executed on a SIMD processor using set-membership tests.
Methods and systems for fast set-membership tests using one or more processors that support single instruction multiple data instructions
Methods and apparatuses for determining set-membership using Single Instruction Multiple Data (SIMD) architecture are presented herein. Specifically, methods and apparatuses are discussed for determining, in parallel, whether multiple values in a first set of values are members of a second set of values. Many of the methods and systems discussed herein are applied to determining whether one or more rows in a dictionary-encoded column of a database table satisfy one or more conditions based on the dictionary-encoded column. However, the methods and systems discussed herein may apply to many applications executed on a SIMD processor using set-membership tests.