Abstract: The present disclosure relates to a method of accessing a n-dimensional tensor of elements in a memory by a computer system. The multidimensional tensor comprises two-dimensional arrays, herein referred to as pages, each page being configured to comprise a predefined number of one-dimensional arrays of elements, herein referred to as sticks. The method includes linearly loading page per page of the tensor, and doing the following for each page: loading the non-empty sticks of the page from the memory using a base address of the page and determining a base address for the subsequent page using the number of loaded sticks and using an address offset indicative of potential empty sticks of the page. In case the number of loaded pages reaches a chunk size, the chunk page counter may be reinitialized and the linear loading may be continued with a subsequent page.

Abstract: A system for variable replacement in a template artificial intelligence (AI) accelerator code. The system includes: at least one memory; at least one processor communicatively coupled to the at least one memory, and configured for computing at least one table of variables from a template AI accelerator code; and an AI accelerator including a plurality of engines, and communicatively coupled to the at least one processor and the at least one memory. The AI accelerator is configured to create a variable replaced AI accelerator code for the plurality of engines of the AI accelerator from the template AI accelerator code by replacing variables in the template AI accelerator code with actual values from the at least one table of variables.

Abstract: A system for variable replacement in a template artificial intelligence (AI) accelerator code. The system includes: at least one memory; at least one processor communicatively coupled to the at least one memory, and configured for computing at least one table of variables from a template AI accelerator code; and an AI accelerator including a plurality of engines, and communicatively coupled to the at least one processor and the at least one memory. The AI accelerator is configured to create a variable replaced AI accelerator code for the plurality of engines of the AI accelerator from the template AI accelerator code by replacing variables in the template AI accelerator code with actual values from the at least one table of variables.

Abstract: Processing input data for transmittal to a data consumer such as an artificial intelligence engine is performed by arranging the input data into a uniform structure made up of sticks of data combined to form pages of sticks. A stick is any well-sized set of input data elements whereby the size of the stick is fixed. A masking pattern is established for sticks of data having certain ranges of invalid data for consumption of partial sticks while maintaining validity of the input data being transferred. The mask pattern is derived based on set-active-mask-and-value (SAMV) instructions. The derived mask pattern is carried forward for subsequent load instructions to the data consumer.

Abstract: An instruction is provided for performing a vector string search. The instruction to be processed is obtained, with the instruction being defined to be a string search instruction to locate occurrence of a substring within a string. The instruction is processed, with the processing including searching the string specified in one operand of the instruction using the substring specified in another operand of the instruction. Based on the searching locating a first full match of the substring within the string, a full match condition indication is returned with position of the first full match in the string, and based on the searching locating only a partial match of the substring at a termination of the string, a partial match condition indication is returned, with the position of the partial match in the string.

Abstract: A processor is used for performing a floating-point multiply-add operation of a form A*B+C on at least one multiply-add unit, with three input floating-point operands A, B, C, wherein at least one of the operands A, B, C is substituted by at least one value of a predefined operand value set.

Abstract: Embodiments of the invention are directed to a computer-implemented method of for parallel conversion to binary coded decimal format. The method includes receiving, by a floating point unit (FPU), a value in binary floating point (BFP) format. The BFP value includes an integer part and a fractional part. The FPU converts the BFP value to a binary coded decimal (BCD) value. In parallel to converting the BFP value to a BCD value, the FPU performs a rounding operation on the BFP value. The FPU receives the rounding information and operates on the BCD value accordingly.

Abstract: A computer-implemented method includes: receiving, using a processor, a decimal floating point number; and using a floating point unit within the processor to convert the decimal floating point number into a binary coded decimal number, wherein the floating point unit starts a conversion loop subsequent to a rounding loop starting, wherein the rounding loop and the conversion loop run in parallel once started.

Abstract: A method includes generating an extended result from a first operation circuitry having a result register bit width greater than a bus width associated with a residue check path of a second operation circuitry associated with a floating point unit. An extended result residue less a first portion residue of the extended result received from the residue check path is stored as a first partial result residue. The first partial result residue is compared with a first result residue of the second operation circuitry. The extended result residue less both the first partial result residue and a second portion residue of the extended result received from the residue check path as a second partial result residue is compared with a second result residue of the second operation circuitry.

Abstract: A method includes obtaining a trigger signal directed to a component in a subset of components of an electronic circuit, and activating a clock corresponding with the subset of components of the electronic circuit for a preliminary period in response to the trigger signal. An active period is determined based on the trigger signal. The clock remains active for the active period. One of a timer or counter is initiated for the active period. A limit is defined for the one of the timer or counter. The active period is dynamically extended for a busy period after the one of the timer or counter is initiated. The clock is deactivated following the active period.

Abstract: An instruction is provided for performing a vector string search. The instruction to be processed is obtained, with the instruction being defined to be a string search instruction to locate occurrence of a substring within a string. The instruction is processed, with the processing including searching the string specified in one operand of the instruction using the substring specified in another operand of the instruction. Based on the searching locating a first full match of the substring within the string, a full match condition indication is returned with position of the first full match in the string, and based on the searching locating only a partial match of the substring at a termination of the string, a partial match condition indication is returned, with the position of the partial match in the string.

Abstract: An instruction is provided for performing a vector string search. The instruction to be processed is obtained, with the instruction being defined to be a string search instruction to locate occurrence of a substring within a string. The instruction is processed, with the processing including searching the string specified in one operand of the instruction using the substring specified in another operand of the instruction. Based on the searching locating a first full match of the substring within the string, a full match condition indication is returned with position of the first full match in the string, and based on the searching locating only a partial match of the substring at a termination of the string, a partial match condition indication is returned, with the position of the partial match in the string.

Abstract: A method for detecting faults in substring search operations includes providing, using a processor unit including vector registers of M vector elements each, an M×M matrix of comparators for characterwise comparison of the elements of a reference string stored in a first one of the vector registers and a target string stored in a second one of the vector registers. A vector element is an n-bit element for encoding a character. A resulting bit vector is generated using comparison performed by the M×M matrix. The resulting bit vector indicates characters of the target string that fully match the reference string and indicates characters of the target string that partially match the reference string. Fault detection in the substring search operations is performed by utilizing the resulting bit vector.

Abstract: A method for detecting faults in substring search operations using a processor unit including vector registers of M vector elements each. A non-limiting example of the method includes providing an M×M matrix of comparators for characterwise comparison of the elements of a reference string and a target string. A first zero detect vector having value indicative of terminating element of the target string and a second zero detect vector having a value indicative of terminating element of the reference string are generated. A resulting bit vector is generated using comparison performed by the M×M matrix. The resulting bit vector indicates characters of the target string that fully match the reference string and indicate characters of the target string that partially match the reference string. Fault detection in the substring search operations is performed by comparing the generated zero detect vectors with operands.

Abstract: A method for detecting faults in substring search operations includes providing, using a processor unit including vector registers of M vector elements each, an M×M matrix of comparators for characterwise comparison of the elements of a reference string stored in a first one of the vector registers and a target string stored in a second one of the vector registers. A vector element is an n-bit element for encoding a character. A resulting bit vector is generated using comparison performed by the M×M matrix. The resulting bit vector indicates characters of the target string that fully match the reference string and indicates characters of the target string that partially match the reference string. Fault detection in the substring search operations is performed by utilizing the resulting bit vector.

Abstract: A method for detecting faults in substring search operations using a processor unit including vector registers of M vector elements each. A non-limiting example of the method includes providing an M×M matrix of comparators for characterwise comparison of the elements of a reference string and a target string. A first zero detect vector having value indicative of terminating element of the target string and a second zero detect vector having a value indicative of terminating element of the reference string are generated. A resulting bit vector is generated using comparison performed by the M×M matrix. The resulting bit vector indicates characters of the target string that fully match the reference string and indicate characters of the target string that partially match the reference string. Fault detection in the substring search operations is performed by comparing the generated zero detect vectors with operands.

Abstract: Embodiments of the invention are directed to a computer-implemented method of for parallel conversion to binary coded decimal format. The method includes receiving, by a floating point unit (FPU), a value in binary floating point (BFP) format. The BFP value includes an integer part and a fractional part. The FPU converts the BFP value to a binary coded decimal (BCD) value. In parallel to converting the BFP value to a BCD value, the FPU performs a rounding operation on the BFP value. The FPU receives the rounding information and operates on the BCD value accordingly.

Abstract: A computer-implemented method includes: receiving, using a processor, a decimal floating point number; and using a floating point unit within the processor to convert the decimal floating point number into a binary coded decimal number, wherein the floating point unit starts a conversion loop subsequent to a rounding loop starting, wherein the rounding loop and the conversion loop run in parallel once started.

Abstract: A method includes generating an extended result from a first operation circuitry having a result register bit width greater than a bus width associated with a residue check path of a second operation circuitry associated with a floating point unit. An extended result residue less a first portion residue of the extended result received from the residue check path is stored as a first partial result residue. The first partial result residue is compared with a first result residue of the second operation circuitry. The extended result residue less both the first partial result residue and a second portion residue of the extended result received from the residue check path as a second partial result residue is compared with a second result residue of the second operation circuitry.

Abstract: The present disclosure relates to a method to execute successive dependent instructions from an instruction stream in a processor. In an embodiment, the invention relates to a method to execute successive dependent instructions from an instruction stream in a processor. The method may include identifying a first instruction and a second instruction. A given operand of a second instruction is an output of the first instruction of the pair. The first instruction is older than the second instruction. The method may include loading the operands of the first instruction and the second instruction. The method may include executing the first instruction and the second instruction.