Patent classifications
G06F7/42
PROCESSOR WITH EFFICIENT ARITHMETIC UNITS
A processor includes a carry save array multiplier. The carry save array multiplier includes an array of cascaded partial product generators. The array of cascaded partial product generators is configured to generate an output value as a product of two operands presented at inputs of the multiplier. The array of cascaded partial product generators is also configured to generate an output value as a sum of two operands presented at inputs of the multiplier.
POWER SERIES TRUNCATION USING CONSTANT TABLES FOR FUNCTION INTERPOLATION IN TRANSCENDENTAL FUNCTIONS
A primary interval for convergence of at least one power series in a transcendental function is interpolated, while selecting a number of one or more interpolation points for a truncated expansion of the at least one power series by a selected order of truncation. A function and at least one derivative of the function of the truncated expansion of the selected order of truncation is evaluated at the one or more interpolation points. Each separate value evaluated for the function and each of the at least one derivative is saved in a table, wherein the table is looked up for efficiently computing a result of the truncated expansion of the at least one power series.
Variable precision floating-point adder and subtractor
An integrated circuit may include a floating-point adder that supports variable precisions. The floating-point adder may receive first and second inputs to be added, where the first and second inputs each have a mantissa and an exponent. The mantissa and exponent values may be split into a near path and a far path using a dual path floating-point adder architecture depending on the difference of the exponents and on whether an addition or subtraction is being performed. The mantissa values may be left justified, while the sticky bits are right justified. The hardware for the largest mantissa can be used to support the calculations for the smaller mantissas using no additional arithmetic structures, with only some multiplexing and decoding logic.
Processor with efficient arithmetic units
A processor includes a carry save array multiplier. The carry save array multiplier includes an array of cascaded partial product generators. The array of cascaded partial product generators is configured to generate an output value as a product of two operands presented at inputs of the multiplier. The array of cascaded partial product generators is also configured to generate an output value as a sum of two operands presented at inputs of the multiplier.
Processor with efficient arithmetic units
A processor includes a carry save array multiplier. The carry save array multiplier includes an array of cascaded partial product generators. The array of cascaded partial product generators is configured to generate an output value as a product of two operands presented at inputs of the multiplier. The array of cascaded partial product generators is also configured to generate an output value as a sum of two operands presented at inputs of the multiplier.
Distributed combiner for parallel discrete-to-linear converters
Provided are, among other things, systems, apparatuses methods and techniques for providing a complete output signal from a set of partial signals, which in turn have been generated by parallel processing paths in the time-interleaved and/or frequency-interleaved conversion of discrete signals to linear signals (i.e., discrete-to-linear conversion). One such apparatus includes a distributed network comprising a plurality of ladder networks through which input signals propagate before being combined to form an output signal.
INTEGRATED CIRCUITS FOR LARGE-SCALE TRANSISTOR TENSOR OPERATIONS
An integrated circuit includes a plurality of current-mode computation (CMC) branches, each including a plurality of CMC cells and a branch summation line. An individual CMC cell includes at least one computation transistor that produces a CMC output current that is a function of a channel current of the computation transistor. A branch summation line receives CMC cell output currents produced by a plurality of CMC cells, and produces a branch output current that is a current-mode summation of all received CMC cell output currents. A layer-one current summation circuit receives the branch output current produced by at least one branch summation line, and produces a layer-one current summation circuit output current that is a function of the received branch output currents. The layer-one current summation circuit may be field-programmable. In operation, the integrated circuit can perform transistor tensor operations by programming one or more layer-one current summation circuits to combine all branch output currents received by those layer-one current summation circuits. Using embodiments of the present invention, millions, billions, trillions or more of the CMC cells can be field-programmed to execute computations in parallel to support transistor tensor operations.
INTEGRATED CIRCUITS FOR LARGE-SCALE TRANSISTOR TENSOR OPERATIONS
An integrated circuit includes a plurality of current-mode computation (CMC) branches, each including a plurality of CMC cells and a branch summation line. An individual CMC cell includes at least one computation transistor that produces a CMC output current that is a function of a channel current of the computation transistor. A branch summation line receives CMC cell output currents produced by a plurality of CMC cells, and produces a branch output current that is a current-mode summation of all received CMC cell output currents. A layer-one current summation circuit receives the branch output current produced by at least one branch summation line, and produces a layer-one current summation circuit output current that is a function of the received branch output currents. The layer-one current summation circuit may be field-programmable. In operation, the integrated circuit can perform transistor tensor operations by programming one or more layer-one current summation circuits to combine all branch output currents received by those layer-one current summation circuits. Using embodiments of the present invention, millions, billions, trillions or more of the CMC cells can be field-programmed to execute computations in parallel to support transistor tensor operations.