Intel Corporation

Other

Intel Corporatoin

Robert Valentine

Mark Jay Charney

Elmoustapha Ould-Ahmed-Vall

Jesus Corbal

Zeev Sperber

Bret L Toll

Amit Gradstein

Alexander F Heinecke

Christopher J Hughes

Simon Rubanovich

Raanan Sade

Milind Baburao Girkar

Menachem Adelman

Venkateswara Rao Madduri

Dan Baum

Cristina S Anderson

Stanislav Shwartsman

Doron Orenstein

Seth Abraham

Mikhail Plotnikov

Igor Yanover

Dennis Ryan Bradford

Michael J Espig

Asit K Mishra

Gilbert A Neiger

Jason W Brandt

Andrey Naraikin

Jonathan Cannon Hall

Suleyman Sair

Thomas D Fletcher

Shlomo Raikin

Jonathan D Pearce

Ilan Pardo

Michael Mishaeli

Deborah T Marr

Andrew Thomas Forsyth

Ronen Zohar

Simon C Steely, Jr

Robert Dale Cavin

Naveen K Mellempudi

Charles R Yount

Vinodh Gopal

Rajesh Poornachandran

Edward Thomas Grochowski

Benny Eitan

Eliezer Weissmann

Joseph Nuzman

Wajdi K Feghali

James D Guilford

Rajesh M Sankaran

Thomas Willhalm

Ronny Ronen

Eriko Nurvitadhi

Sara S Baghsorkhi

Koichi Yamada

Ron Gabor

Stephen R Van Doren

Lokpraveen B Mosur

Paul Caprioli

Narayan Ranganathan

Kent D Glossop

Niall D McDonnell

Richard J Greco

Mark J Buxton

Jeffrey J Cook

Ganesh Venkatesh

Efraim Rotem

Martin Guy Dixon

Gad Shlomo Sheaffer

Srinivas Chennupaty

Ehud Cohen

Rajesh S Parthasarathy

Chris J Newburn

Ido Ouziel

Opher D Kahn

Vedvyas Shanbhogue

Shay Gueron

Andrew F Glew

Cheng C Wang

Youfeng Wu

Richard A Uhlig

Ittai Anati

Victor W Lee

Dipankar Das

Lihu Rappoport

Daehyun Kim

Adi Yoaz

Jonathan D Combs

Vlad Krasnov

Millind Mittal

Guei-Yuan Lueh

Boris Ginzburg

Alexander Gendler

Yen-Kuang Chen

Ian M Steiner

Ofer Levy

Julius Yuli Mandelblat

Larisa Novakovsky

Nilesh K Jain

Brinda Ganesh

An embodiment of the invention is a processor including execution circuitry to calculate, in response to a decoded instruction, a result of a complex multiplication of a first complex number and a second complex number. The calculation includes a first operation to calculate a first term of a real component of the result and a first term of the imaginary component of the result. The calculation also includes a second operation to calculate a second term of the real component of the result and a second term of the imaginary component of the result. The processor also includes a decoder, a first source register, and a second source register. The decoder is to decode an instruction to generate the decoded instruction. The first source register is to provide the first complex number and the second source register is to provide the second complex number.

Apparatus and method for complex multiplication

Disclosed embodiments relate to systems for performing instructions to quickly convert and use matrices (tiles) as one-dimensional vectors. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode, locations of a two-dimensional (2D) matrix and a one-dimensional (1D) vector, and a group of elements comprising one of a row, part of a row, multiple rows, a column, part of a column, multiple columns, and a rectangular sub-tile of the specified 2D matrix, and wherein the opcode is to indicate a move of the specified group between the 2D matrix and the 1D vector, decode circuitry to decode the fetched instruction; and execution circuitry, responsive to the decoded instruction, when the opcode specifies a move from 1D, to move contents of the specified 1D vector to the specified group of elements.

Systems for performing instructions to quickly convert and use tiles as 1D vectors

Techniques for converting FP16 data elements to BF8 data elements using a single instruction are described. An exemplary apparatus includes decoder circuitry to decode a single instruction, the single instruction to include a one or more fields to identify a source operand, one or more fields to identify a destination operand, and one or more fields for an opcode, the opcode to indicate that execution circuitry is to convert packed half-precision floating-point data from the identified source to packed bfloat8 data and store the packed bfloat8 data into corresponding data element positions of the identified destination operand; and execution circuitry to execute the decoded instruction according to the opcode to convert packed half-precision floating-point data from the identified source to packed bfloat8 data and store the packed bfloat8 data into corresponding data element positions.

Instructions to convert from FP16 to BF8

Embodiments for a matrix transpose and multiply operation are disclosed. In an embodiment, a processor includes a decoder and execution circuitry. The decoder is to decode an instruction having a format including an opcode field to specify an opcode, a first destination operand field to specify a destination matrix location, a first source operand field to specify a first source matrix location, and a second source operand field to specify a second source matrix location. The execution circuitry is to, in response to the decoded instruction, transpose the first source matrix to generate a transposed first source matrix, perform a matrix multiplication using the transposed first source matrix and the second source matrix to generate a result, and store the result in a destination matrix location.

Matrix transpose and multiply

Apparatus and method for signed and unsigned shift, round and saturate using different data element values. For example, one embodiment of an apparatus comprises a decoder to decode an instruction having fields for a first packed data source operand to provide a first source data element and a second source data element, a second packed data source operand or immediate to provide a first shift value and a second shift value corresponding to the first source data element and second source data element, respectively, and a packed data destination operand to indicate a first result value and a second result value corresponding to the first source data element and second source data element, and execution circuitry to execute the decoded instruction to: shift the first source data element by an amount based on the first shift value to generate a first shifted data element; shift the second source data element by an amount based on the second shift value to generate a second shifted data element; update a saturation indicator responsive to detecting a saturation condition resulting from the shift of the first and/or second source data elements; round and/or saturate the first and second shifted data elements in accordance with a specified rounding mode and the saturation indicator, respectively, to generate the first and second result data elements; and store the first result value and the second result value in a first data element location and a second data element location in a destination register.

Apparatus and method for vector packed signed/unsigned shift, round, and saturate

Techniques for scale and reduction of BF16 data elements are described. An exemplary instruction includes fields for an having fields for an opcode, an identification of a location of a first packed data source operand, an identification of a location of a second packed data source operand, and an identification of a packed data destination operand, wherein the opcode is to indicate that execution circuitry is to perform, for each data element position of the packed data source operands, a floating point scale operation of a BF16 data element of the first packed data source by multiplying the data element by a power of 2 value, wherein a value of the exponent of the power of 2 value is a floor value of a BF16 data element of the second packed data source, and store a result of the floating point scale operation into a corresponding data element position of the packed data destination operand.

BFLOAT16 scale and/or reduce instructions

Techniques for matrix multiplication are described. In some examples, decode circuitry is to decode a single instruction having fields for an opcode, an indication of a location of a first source operand, an indication of a location of a second source operand, and an indication of a location of a destination operand, wherein the opcode is to indicate that execution circuitry is to at least convert data elements of the first and second source operands from a first floating point representation to a second floating point representation, perform matrix multiplication with the converted data elements, and accumulate results of the matrix multiplication in the destination operand in the first floating point representation; and the execution circuitry is to execute to the decoded instruction as specified by the opcode.

Apparatuses, methods, and systems for instructions for matrix multiplication instructions

Techniques for copying a subset of status flags from a control and status register to a flags register in response to an instruction are described. An exemplary instruction includes a field for an opcode, the opcode to indicate execution circuitry is to copy from a first register a saturation flag value, an overflow value, and a carry value to a second register into one or more instructions of a different instruction set.

Copy a subset of status flags from a control and status register to a flags register

Embodiments detailed herein relate to matrix operations. For example, embodiments of instruction support for matrix (tile) dot product operations are detailed. Exemplary instructions including computing a dot product of signed words and accumulating in a double word with saturation; computing a dot product of bytes and accumulating in to a dword with saturation, where the input bytes can be signed or unsigned and the dword accumulation has output saturation; etc.

Systems, methods, and apparatuses for dot production operations

Disclosed embodiments relate to computing dot products of nibbles in tile operands. In one example, a processor includes decode circuitry to decode a tile dot product instruction having fields for an opcode, a destination identifier to identify a M by N destination matrix, a first source identifier to identify a M by K first source matrix, and a second source identifier to identify a K by N second source matrix, each of the matrices containing doubleword elements, and execution circuitry to execute the decoded instruction to perform a flow K times for each element (m, n) of the specified destination matrix to generate eight products by multiplying each nibble of a doubleword element (M,K) of the specified first source matrix by a corresponding nibble of a doubleword element (K,N) of the specified second source matrix, and to accumulate and saturate the eight products with previous contents of the doubleword element.

Systems and methods for performing 16-bit floating-point matrix dot product instructions

Embodiments detailed herein relate to systems and methods to store a tile register pair to memory. In one example, a processor includes: decode circuitry to decode a store matrix pair instruction having fields for an opcode and source and destination identifiers to identify source and destination matrices, respectively, each matrix having a PAIR parameter equal to TRUE; and execution circuitry to execute the decoded store matrix pair instruction to store every element of left and right tiles of the identified source matrix to corresponding element positions of left and right tiles of the identified destination matrix, respectively, wherein the executing stores a chunk of C elements of one row of the identified source matrix at a time.

Systems and methods to store a tile register pair to memory

Disclosed embodiments relate to accelerating multiplication of sparse matrices. In one example, a processor is to fetch and decode an instruction having fields to specify locations of first, second, and third matrices, and an opcode indicating the processor is to multiply and accumulate matching non-zero (NZ) elements of the first and second matrices with corresponding elements of the third matrix, and executing the decoded instruction as per the opcode to generate NZ bitmasks for the first and second matrices, broadcast up to two NZ elements at a time from each row of the first matrix and each column of the second matrix to a processing engine (PE) grid, each PE to multiply and accumulate matching NZ elements of the first and second matrices with corresponding elements of the third matrix. Each PE further to store an NZ element for use in a subsequent multiplications.

Systems and methods of instructions to accelerate multiplication of sparse matrices using bitmasks that identify non-zero elements

Embodiments detailed herein relate to matrix (tile) operations. For example, decode circuitry to decode an instruction having fields for an opcode and a memory address; and execution circuitry to execute the decoded instruction to set a tile configuration for the processor to utilize tiles in matrix operations based on a description retrieved from the memory address, wherein a tile a set of 2-dimensional registers are discussed.

Systems, methods, and apparatus for tile configuration

Embodiments detailed herein relate to matrix (tile) operations. For example, decode circuitry to decode an instruction having fields for an opcode and a memory address, and execution circuitry to execute the decoded instruction to store configuration information about usage of storage for two-dimensional data structures at the memory address.

Systems, methods, and apparatuses for matrix operations

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Kiryat Tivon, Israel

Robert Valentine