Intel Corporation

Arm Limited

Advanced Micro Devices Corporation

David M Russinoff

Zeev Sperber

Amit Gradstein

Simon Rubanovich

John W O'Leary

David Raymond Lutz

Jay E Fleischman

Javier Diaz Bruguera

Carl E Lemonds

Harsha Valsaraju

An apparatus comprises floating-point processing circuitry to perform a floating-point operation with rounding to generate a floating-point result value; and tininess detection circuitry to detect a tininess status indicating whether an outcome of the floating-point operation is tiny. A tiny outcome corresponds to a non-zero number with a magnitude smaller than a minimum non-zero magnitude representable as a normal floating-point number in a floating-point format to be used for the floating-point result value. The tininess detection circuitry comprises hardware circuit logic configured to support both before rounding tininess detection and after rounding tininess detection for detecting the tininess status.

Tininess detection

A data processing apparatus is provided, for performing a digit-recurrence square root operation on an input value. Receiver circuitry receives a remainder value of a previous iteration of the digit-recurrence square root operation. Comparison circuitry compares most significant bits of the remainder value of the previous iteration with a number of selection constants, in order to output a next digit of a result of the digit-recurrence square root operation. The comparison circuitry compares at most 3 fractional bits of the remainder value of the previous iteration with the plurality of selection constants.

Square root digit recurrence

An apparatus and method are described for performing vector compression. For example, one embodiment of a processor comprises: vector compression logic to compress a source vector comprising a plurality of valid data elements and invalid data elements to generate a destination vector in which valid data elements are stored contiguously on one side of the destination vector, the vector compression logic to utilize a bit mask associated with the source vector and comprising a plurality of bits, each bit corresponding to one of the plurality of data elements of the source vector and indicating whether the data element comprises a valid data element or an invalid data element, the vector compression logic to utilize indices of the bit mask and associated bit values of the bit mask to generate a control vector; and shuffle logic to shuffle/permute the data elements of the source vector to the destination vector in accordance with the control vector.

Apparatus and method for vector compression

A method, performed by a processor, of determining a square root using a single processor cycle per iteration is described. The method includes, in a single cycle: obtaining, from a stored lookup table, a quotient digit and a square of the quotient digit; retrieving a current solution; and determining a new solution using the current solution and the quotient digit. Circuitry configured to perform the method is described.

Method and circuitry for square root determination

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Austin, TX, United States of America

David M Russinoff