Patent classifications
G06F5/01
Apparatus for processing modular multiply operation and methods thereof
Disclosed is a ciphertext computation method. The ciphertext computation method includes: receiving a modular computation command for a plurality of ciphertexts; performing a modular computation for the plurality of ciphertexts by using a lookup table storing a plurality of predetermined prime number information; and outputting a result of the computation.
Apparatus for processing modular multiply operation and methods thereof
Disclosed is a ciphertext computation method. The ciphertext computation method includes: receiving a modular computation command for a plurality of ciphertexts; performing a modular computation for the plurality of ciphertexts by using a lookup table storing a plurality of predetermined prime number information; and outputting a result of the computation.
Method for colour component prediction, encoder, decoder and storage medium
A method for colour component prediction, an encoder, a decoder and a storage medium are provided. The method includes that: prediction parameters of a current block are determined, the prediction parameters including a prediction mode parameter and a size parameter of the current block; when the prediction mode parameter indicates that a Matrix-based Intra Prediction (MIP) mode is adopted to determine an intra prediction value of the current block, an MIP weight matrix of the current block, a shift factor of the current block and an MIP input sample matrix of the current block are determined; and the intra prediction value of the current block is determined according to the MIP weight matrix, the shift factor and the MIP input sample matrix.
Method for colour component prediction, encoder, decoder and storage medium
A method for colour component prediction, an encoder, a decoder and a storage medium are provided. The method includes that: prediction parameters of a current block are determined, the prediction parameters including a prediction mode parameter and a size parameter of the current block; when the prediction mode parameter indicates that a Matrix-based Intra Prediction (MIP) mode is adopted to determine an intra prediction value of the current block, an MIP weight matrix of the current block, a shift factor of the current block and an MIP input sample matrix of the current block are determined; and the intra prediction value of the current block is determined according to the MIP weight matrix, the shift factor and the MIP input sample matrix.
Write barrier for remembered set maintenance in generational Z garbage collector
During execution of garbage collection, an application receives a first request to overwrite a reference field of an object, the object comprising a first reference and the first request comprising a memory address at which the reference field is stored, and a second reference to be written to the reference field. Responsive to receiving the first request, the system determines a current remembered set phase, and loads the first reference. The application determines that remembered set metadata of the first reference does not match the current remembered set phase. Responsive to that determination, the application adds an entry to a remembered set data structure, modifies the second reference to include the current remembered set phase as the remembered set metadata, and stores the modified second reference to the reference field. In subsequent writes to the reference field, the application refrains from adding to the remembered set data structure.
Reconfigurable Processor Circuit Architecture
A representative reconfigurable processing circuit and a reconfigurable arithmetic circuit are disclosed, each of which may include input reordering queues; a multiplier shifter and combiner network coupled to the input reordering queues; an accumulator circuit; and a control logic circuit, along with a processor and various interconnection networks. A representative reconfigurable arithmetic circuit has a plurality of operating modes, such as floating point and integer arithmetic modes, logical manipulation modes, Boolean logic, shift, rotate, conditional operations, and format conversion, and is configurable for a wide variety of multiplication modes. Dedicated routing connecting multiplier adder trees allows multiple reconfigurable arithmetic circuits to be reconfigurably combined, in pair or quad configurations, for larger adders, complex multiplies and general sum of products use, for example.
Reconfigurable Processor Circuit Architecture
A representative reconfigurable processing circuit and a reconfigurable arithmetic circuit are disclosed, each of which may include input reordering queues; a multiplier shifter and combiner network coupled to the input reordering queues; an accumulator circuit; and a control logic circuit, along with a processor and various interconnection networks. A representative reconfigurable arithmetic circuit has a plurality of operating modes, such as floating point and integer arithmetic modes, logical manipulation modes, Boolean logic, shift, rotate, conditional operations, and format conversion, and is configurable for a wide variety of multiplication modes. Dedicated routing connecting multiplier adder trees allows multiple reconfigurable arithmetic circuits to be reconfigurably combined, in pair or quad configurations, for larger adders, complex multiplies and general sum of products use, for example.
METHOD AND APPARATUS WITH CALCULATION
A processor-implemented method includes: receiving a plurality of pieces of input data expressed as floating point; adjusting a bit-width of mantissa by performing masking on the mantissa of each piece of the input data based on a size of an exponent of each piece of the input data; and performing an operation between the input data with the adjusted bit-width.
METHOD AND APPARATUS WITH CALCULATION
A processor-implemented method includes: receiving a plurality of pieces of input data expressed as floating point; adjusting a bit-width of mantissa by performing masking on the mantissa of each piece of the input data based on a size of an exponent of each piece of the input data; and performing an operation between the input data with the adjusted bit-width.
Floating point to fixed point conversion using exponent offset
A binary logic circuit converts a number in floating point format having an exponent E, an exponent bias B=2.sup.ew-1−1, and a significand comprising a mantissa M of mw bits into a fixed point format with an integer width of iw bits and a fractional width of fw bits. The circuit includes an offset unit configured to offset the exponent of the floating point number by an offset value equal to (iw−1−s.sub.y) to generate a shift value s.sub.v of sw bits given by s.sub.v=(B−E)+(iw−1−s.sub.y), the offset value being equal to a maximum amount by which the significand can be left-shifted before overflow occurs in the fixed point format; a right-shifter operable to receive a significand input comprising a formatted set of bits derived from the significand, the shifter being configured to right-shift the input by a number of bits equal to the value represented by k least significant bits of the shift value to generate an output result, where bitwidth[min(2.sup.ew-1−1, iw−1−s.sub.y)+min(2.sup.ew-1−2, fw)]≤k≤sw, where s.sub.y=1 for a signed floating point number and s.sub.y=0 for an unsigned floating point number.