Intel Corporation

Tahoe Research, Ltd.

Other

Alcatel Canada Inc.

Wajdi K Feghali

Vinodh Gopal

Gilbert M Wolrich

Kirk S Yap

Martin Guy Dixon

James D Guilford

Erdinc Ozturk

Sean M Gulley

Shay Gueron

Raghunandan Makaram

Srinivas Chennupaty

Michael E Kounavis

Daniel Cutter

Bret L Toll

Sean Mirkes

Jaroslaw Sydir

Kamal J Koshy

Mark C Davis

Alexandre J Farcy

Bradley A Burres

Maxim Loktyukhin

William C Hasenplaugh

Gunnar Gaubatz

Zeev Sperber

Amit Gradstein

Simon Rubanovich

Ittai Anati

Jacob Doweck

Jose Yallouz

Robert P Ottavi

Ilya Albrekht

Regev Shemy

Elmoustapha Ould-Ahmed-Vall

Robert Valentine

Mark Jay Charney

Christopher J Hughes

Alexander F Heinecke

Dan Baum

Ronen Zohar

Michael J Espig

Vedvyas Shanbhogue

Raanan Sade

Jayesh Gaur

Kahraman D Akdemir

Deniz Karakoyunlu

Makaram Raghunandan

Mark A Schmisseur

Sreenivas Subramoney

Matthew C Merten

Sivakumar Radhakrishnan

Pankaj Kumar

Sin Sim Tan

Chen-Chi Kuo

Simon N Peffers

Tong Li

Yogesh Bansal

Christopher F Clark

Kenneth C Haren

Adarsh Chauhan

George Powley

John J Vranich

Thomas C Brown

Erdine Ozturk

Sanu K Mathew

Wei Zhang

Sudhir K Satpathy

Utkarsh Y Kakaiya

Robert S Chappell

Wei-Yu Chen

Tomasz Kantecki

Pierre Laurent

Brent Ralph Boswell

Alok Kumar Mathur

Alexander Lyashevsky

Supratim Pal

Timothy R Bauer

Changwon D Rhee

Gregory B Tucker

Brett Howard

Andrew Robison

Stephanie L Hirnak

Eduard Lecha

Andrew Milne

Matt Bace

Jon Krueger

Prashant Paliwal

Selcuk Baktir

Peter Selwyn

Shawn Lennox

Clayton Cameron

Michel Lamarche

Lorne Flindall

Kaan Yuksel

Gilbert M Woolrich

Maxim Loktyukin

Vindoh Gopal

Jim D Guilford

Schuyler Eldridge

Bret T Toll, I

Methods, apparatus, and software for hashing data. The methods and apparatus employ novel improvements to hash algorithms, such as a SHA-2 hash algorithm to reduce computations and increase performance. In one aspect, calculation of SHA-2 message scheduling and SHA compression operations are separated under which an SHA-2 message schedule is applied to multiple rounds of SHA compression operations over multiple chunks of data for the data item being hashed. In another aspect, the SHA-2 message schedule is implemented such that message schedules for multiple message words or data blocks are performed in parallel. The approaches may be employed to reduce hash calculations for various purposes, including generating Filecoin nodes.

Methods and apparatus to hash data

Systems, methods, and apparatuses relating to performing hashing operations on packed data elements are described. In one embodiment, a processor includes a decode circuit to decode a single instruction into a decoded single instruction, the single instruction including at least one first field that identifies eight 32-bit state elements A, B, C, D, E, F, G, and H for a round according to a SM3 hashing standard and at least one second field that identifies an input message; and an execution circuit to execute the decoded single instruction to: rotate state element C left by 9 bits to form a rotated state element C, rotate state element D left by 9 bits to form a rotated state element D, rotate state element G left by 19 bits to form a rotated state element G, rotate state element H left by 19 bits to form a rotated state element H, perform two rounds according to the SM3 hashing standard on the input message and state element A, state element B, rotated state element C, rotated state element D, state element E, state element F, rotated state element G, and rotated state element H to generate an updated state element A, an updated state element B, an updated state element E, and an updated state element F, and store the updated state element A, the updated state element B, the updated state element E, and the updated state element F into a location specified by the single instruction.

Apparatuses, methods, and systems for hashing instructions

An apparatus to facilitate a fused instruction to accelerate performance of secure hash algorithm 2 (SHA-2) in a graphics environment is disclosed. The apparatus includes a processor comprising processing resources, the processing resources comprising execution circuitry to receive a fused SHA instruction identifying a length corresponding to a data size of the fused SHA instruction and a functional control identifying an operation type of the fused SHA instruction; based on decoding the fused SHA instruction, cause a sub-function identified by the length and the function control to be scheduled to an integer pipeline of the execution resource; and execute the sub-function of the fused SHA instruction in an integer pipeline of the execution circuitry, the sub-function to perform merged operations on a source operand of the fused SHA instruction, the merged operations comprising a rotate operation, a shift operation, and an xor operation.

Fused instruction to accelerate performance of secure hash algorithm 2 (SHA-2) workloads in a graphics environment

Instructions and logic provide for a Single Instruction Multiple Data (SIMD) SM4 round slice operation. Embodiments of an instruction specify a first and a second source data operand set, and substitution function indicators, e.g. in an immediate operand. Embodiments of a processor may include encryption units, responsive to the first instruction, to: perform a slice of SM4-round exchanges on a portion of the first source data operand set with a corresponding keys from the second source data operand set in response to a substitution function indicator that indicates a first substitution function, perform a slice of SM4 key generations using another portion of the first source data operand set with corresponding constants from the second source data operand set in response to a substitution function indicator that indicates a second substitution function, and store a set of result elements of the first instruction in a SIMD destination register.

Instructions and logic to provide SIMD SM4 cryptographic block cipher functionality

Methods and apparatus relating to an instruction and/or micro-architecture support for decompression on core are described. In an embodiment, decode circuitry decodes a decompression instruction into a first micro operation and a second micro operation. The first micro operation causes one or more load operations to fetch data into one or more cachelines of a cache of a processor core. Decompression Engine (DE) circuitry decompresses the fetched data from the one or more cachelines of the cache of the processor core in response to the second micro operation. Other embodiments are also disclosed and claimed.

Instruction and micro-architecture support for decompression on core

Systems, methods, and circuitries are disclosed for a per-process memory encryption system. At least one translation lookaside buffer (TLB) is configured to encode key identifiers for keys in one or more bits of either the virtual memory address or the physical address. The process state memory configured to store a first process key table for a first process that maps key identifiers to unique keys and a second process key table that maps the key identifiers to different unique keys. The active process key table memory configured to store an active key table. In response to a request for data corresponding to a virtual memory address, the at least one TLB is configured to provide a key identifier for the data to the active process key table to cause the active process key table to return the unique key mapped to the key identifier.

Process-based multi-key total memory encryption

Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Systems and methods for performing matrix compress and decompress instructions

An embodiment of an integrated circuit may comprise, coupled to a core, a hardware decompression accelerator, a compressed cache, a processor and communicatively coupled to the hardware decompression accelerator and the compressed cache, and memory and communicatively coupled to the processor, wherein the memory stores microcode instructions which when executed by the processor causes the processor to store a first address to a decompression work descriptor, retrieve a second address where a compressed page is stored in the compressed cache from the decompression work descriptor at the first address in response to an indication of a page fault, and send instructions to the hardware decompression accelerator to decompress the compressed page at the second address. Other embodiments are disclosed and claimed.

Compressed cache memory with decompress on fault

Methods and apparatus relating to an Application Programming Interface (API) for fine grained low latency decompression within a processor core are described. In an embodiment, a decompression Application Programming Interface (API) receives an input handle to a data object. The data object includes compressed data and metadata. Decompression Engine (DE) circuitry decompresses the compressed data to generate uncompressed data. The DE circuitry decompress the compressed data in response to invocation of a decompression instruction by the decompression API. The metadata comprises a first operand to indicate a location of the compressed data, a second operand to indicate a size of the compressed data, a third operand to indicate a location to which decompressed data by the DE circuitry is to be stored, and a fourth operand to indicate a size of the decompressed data. Other embodiments are also disclosed and claimed.

Application programming interface for fine grained low latency decompression within processor core

Apparatus and method for performing low-latency multi-job submission via a single job descriptor is described herein. An apparatus embodiment includes a plurality of descriptor queues to stores job descriptors describing work to be performed and enqueue circuitry to receive a first job descriptor which includes a first field to store a Single Instruction Multiple Data (SIMD) width. If the SIMD width indicates that the first job descriptor is an SIMD job descriptor and open slots are available in the descriptor queues to store new job descriptors, then the enqueue circuitry is to generate a plurality of job descriptors based on fields of the first job descriptor and to store them in the open slots of the descriptor queues. The generated job descriptors are processed by processing pipelines to perform the work described. At least some of the generated job descriptors are processed concurrently or in parallel by different processing pipelines.

Apparatus and method for low-latency decompression acceleration via a single job descriptor

A lossless data compressor of an aspect includes a first lossless data compressor circuitry coupled to receive input data. The first lossless data compressor circuitry is to apply a first lossless data compression approach to compress the input data to generate intermediate compressed data. The apparatus also includes a second lossless data compressor circuitry coupled with the first lossless data compressor circuitry to receive the intermediate compressed data. The second lossless data compressor circuitry is to apply a second lossless data compression approach to compress at least some of the intermediate compressed data to generate compressed data. The second lossless data compression approach different than the first lossless data compression approach. Lossless data decompressors are also disclosed, as are methods of lossless data compression and decompression.

Apparatus and method for two-stage lossless data compression, and two-stage lossless data decompression

A method of one aspect may include receiving a rotate instruction. The rotate instruction may indicate a source operand and a rotate amount. A result may be stored in a destination operand indicated by the rotate instruction. The result may have the source operand rotated by the rotate amount. Execution of the rotate instruction may complete without reading a carry flag.

Rotate instructions that complete execution either without writing or reading flags

Instructions and logic to provide SIMD SM4 cryptographic block cipher

Growing community of inventors

Boston, MA, United States of America

Wajdi K Feghali