Texas Instruments Corporation

Peter Richard Dent

Timothy David Anderson

Duc Quang Bui

Mujibur Rahman

Eric Biscondi

Joseph Raymond Michael Zbiciak

Ashish Rai Shrivastava

Jelena Milanovic

Dheera Balasubramanian Samudrala

Abhijeet Ashok Chachad

Raguram Damodaran

Soujanya Narnur

Shriram D Moharil

David Quintin Bell

Rajpal S Bharya

Martin Greenwood

Ashish Shrivastava

A method to compare first and second source data in a processor in response to a vector maximum with indexing instruction includes specifying first and second source registers containing first and second source data, a destination register storing compared data, and a predicate register. Each of the registers includes a plurality of lanes. The method includes executing the instruction by, for each lane in the first and second source register, comparing a value in the lane of the first source register to a value in the corresponding lane of the second source register to identify a maximum value, storing the maximum value in a corresponding lane of the destination register, asserting a corresponding lane of the predicate register if the maximum value is from the first source register, and de-asserting the corresponding lane of the predicate register if the maximum value is from the second source register.

Vector maximum and minimum with indexing

A Very Long Instruction Word (VLIW) digital signal processor particularly adapted for single instruction multiple data (SIMD) operation on various operand widths and data sizes. A vector compare instruction compares first and second operands and stores compare bits. A companion vector conditional instruction performs conditional operations based upon the state of a corresponding predicate data register bit. A predicate unit performs data processing operations on data in at least one predicate data register including unary operations and binary operations. The predicate unit may also transfer data between a general data register file and the predicate data register file.

Vector SIMD VLIW data path architecture

A method is provided that includes performing, by a processor in response to a vector permutation instruction, permutation of values stored in lanes of a vector to generate a permuted vector, wherein the permutation is responsive to a control storage location storing permute control input for each lane of the permuted vector, wherein the permute control input corresponding to each lane of the permuted vector indicates a value to be stored in the lane of the permuted vector, wherein the permute control input for at least one lane of the permuted vector indicates a value of a selected lane of the vector is to be stored in the at least one lane, and storing the permuted vector in a storage location indicated by an operand of the vector permutation instruction.

Method and apparatus for vector permutation

Disclosed embodiments relate to methods of using a processor to load and duplicate scalar data from a source into a destination register. The data may be duplicated in byte, half word, word or double word parts, according to a duplication pattern.

Vector load and duplicate operations

A method of loading and duplicating scalar data from a source into a destination register. The data may be duplicated in byte, half word, word or double word parts, according to a duplication pattern.

This invention is a digital signal processor capable of performing correlation of data with pseudo noise for code division multiple access (CDMA) decoding using clusters. Each cluster includes plural multipliers. The multipliers multiply real and imaginary parts of packed data by corresponding pseudo noise data. Within a cluster the real parts and the imaginary parts of the products are summed separately. This forms plural complex number outputs equal in number to the number of clusters. The pseudo noise data is offset relative to the data input differing amounts for different clusters. The clusters are divided into first half clusters receiving data from even numbered slots and second half clusters receiving data from odd numbered slots. The correlation unit includes a mask input to selectively zero a multiplier product.

Highly efficient different precision complex multiply accumulate to enhance chip rate functionality in DSSS cellular systems

A processor includes a first and second execution unit each of which is arranged to execute multiply instructions of a first type upon fixed point operands and to execute multiply instructions of a second type upon floating point operands. A register file of the processor stores operands in registers that are each addressable by instructions for performing the first and second types of operations. An instruction decode unit is responsive to the at least one multiply instruction of the first type and the at least one multiply instruction of the second type to at the same time enable a first data path between the first set of registers and the first execution unit and to enable a second data path between a second set of registers and the second execution unit.

Dual register data path architecture with registers in a data file divided into groups and sub-groups

The parity of this invention includes two arrays of parities surrounding the memory. One array is generated in parallel. The other array is generated in serial. The two dimensional parity is used to protect, locate and correct errors automatically. The second parity is provided for only a subset of the address range of the memory. The memory controller does not compare the second parities unless there is a soft error in the first parity. The second parities are calculated upon command and not upon each memory write as the first parity.

Growing community of inventors

Irthlingborough, United Kingdom

Peter Richard Dent