SG10201808521PA - Matrix Processing Apparatus - Google Patents

Matrix Processing Apparatus

Info

Publication number
SG10201808521PA
SG10201808521PA SG10201808521PA SG10201808521PA SG10201808521PA SG 10201808521P A SG10201808521P A SG 10201808521PA SG 10201808521P A SG10201808521P A SG 10201808521PA SG 10201808521P A SG10201808521P A SG 10201808521PA SG 10201808521P A SG10201808521P A SG 10201808521PA
Authority
SG
Singapore
Prior art keywords
dense matrix
sparse elements
elements associated
sparse
matrix
Prior art date
Application number
SG10201808521PA
Other languages
English (en)
Inventor
Ravi Narayanaswami
Rahul Nagarajan
Dong Hyuk Woo
Christopher Daniel Leary
Original Assignee
Google Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Google Llc filed Critical Google Llc
Publication of SG10201808521PA publication Critical patent/SG10201808521PA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/30—Arrangements for executing machine instructions, e.g. instruction decode
    • G06F9/30003—Arrangements for executing specific machine instructions

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Complex Calculations (AREA)
  • Error Detection And Correction (AREA)
  • Multi Processors (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
SG10201808521PA 2016-02-05 2016-12-30 Matrix Processing Apparatus SG10201808521PA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/016,420 US9805001B2 (en) 2016-02-05 2016-02-05 Matrix processing apparatus

Publications (1)

Publication Number Publication Date
SG10201808521PA true SG10201808521PA (en) 2018-11-29

Family

ID=57708453

Family Applications (2)

Application Number Title Priority Date Filing Date
SG10201808521PA SG10201808521PA (en) 2016-02-05 2016-12-30 Matrix Processing Apparatus
SG10201610977QA SG10201610977QA (en) 2016-02-05 2016-12-30 Matrix Processing Apparatus

Family Applications After (1)

Application Number Title Priority Date Filing Date
SG10201610977QA SG10201610977QA (en) 2016-02-05 2016-12-30 Matrix Processing Apparatus

Country Status (8)

Country Link
US (6) US9805001B2 (cg-RX-API-DMAC7.html)
EP (2) EP4160448A1 (cg-RX-API-DMAC7.html)
JP (4) JP6524052B2 (cg-RX-API-DMAC7.html)
KR (4) KR101980365B1 (cg-RX-API-DMAC7.html)
CN (2) CN112000919B (cg-RX-API-DMAC7.html)
BR (1) BR102016030970A8 (cg-RX-API-DMAC7.html)
SG (2) SG10201808521PA (cg-RX-API-DMAC7.html)
TW (4) TWI718604B (cg-RX-API-DMAC7.html)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11256508B2 (en) 2013-07-15 2022-02-22 Texas Instruments Incorporated Inserting null vectors into a stream of vectors
US11249759B2 (en) * 2013-07-15 2022-02-15 Texas Instruments Incorporated Two-dimensional zero padding in a stream of matrix elements
US9805001B2 (en) 2016-02-05 2017-10-31 Google Inc. Matrix processing apparatus
US10621268B1 (en) 2016-08-25 2020-04-14 Cyber Atomics, Inc. Multidimensional tensor processing
US10635739B1 (en) 2016-08-25 2020-04-28 Cyber Atomics, Inc. Multidimensional connectivity graph-based tensor processing
JP6912703B2 (ja) * 2017-02-24 2021-08-04 富士通株式会社 演算方法、演算装置、演算プログラム及び演算システム
US10489481B1 (en) * 2017-02-24 2019-11-26 Cyber Atomics, Inc. Efficient matrix property determination with pipelining and parallelism
US10936942B2 (en) 2017-11-21 2021-03-02 Google Llc Apparatus and mechanism for processing neural network tasks using a single chip package with multiple identical dies
CN108804684B (zh) * 2018-06-13 2020-11-03 北京搜狗科技发展有限公司 一种数据处理方法和装置
US10719323B2 (en) 2018-09-27 2020-07-21 Intel Corporation Systems and methods for performing matrix compress and decompress instructions
CN113794709B (zh) * 2021-09-07 2022-06-24 北京理工大学 一种用于二值稀疏矩阵的混合编码方法
KR20240071762A (ko) * 2022-11-16 2024-05-23 삼성전자주식회사 집단 통신을 위한 네트워크 스위치 및 이의 동작 방법
US12675434B2 (en) 2023-12-04 2026-07-07 Google Llc Irregular cadence data processing units

Family Cites Families (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5625836A (en) 1990-11-13 1997-04-29 International Business Machines Corporation SIMD/MIMD processing memory element (PME)
US5765011A (en) 1990-11-13 1998-06-09 International Business Machines Corporation Parallel processing system having a synchronous SIMD processing with processing elements emulating SIMD operation using individual instruction streams
US5752067A (en) 1990-11-13 1998-05-12 International Business Machines Corporation Fully scalable parallel processing system having asynchronous SIMD processing
GB2251320A (en) * 1990-12-20 1992-07-01 Motorola Ltd Parallel processor
JP2557175B2 (ja) * 1992-05-22 1996-11-27 インターナショナル・ビジネス・マシーンズ・コーポレイション コンピュータ・システム
US5446908A (en) 1992-10-21 1995-08-29 The United States Of America As Represented By The Secretary Of The Navy Method and apparatus for pre-processing inputs to parallel architecture computers
US5644517A (en) 1992-10-22 1997-07-01 International Business Machines Corporation Method for performing matrix transposition on a mesh multiprocessor architecture having multiple processor with concurrent execution of the multiple processors
JP3348367B2 (ja) * 1995-12-06 2002-11-20 富士通株式会社 多重アクセス方法および多重アクセスキャッシュメモリ装置
JP3639206B2 (ja) * 2000-11-24 2005-04-20 富士通株式会社 共有メモリ型スカラ並列計算機における並列行列処理方法、及び記録媒体
CN100499446C (zh) 2001-02-24 2009-06-10 国际商业机器公司 类网络路由方法
DE60237433D1 (de) 2001-02-24 2010-10-07 Ibm Neuartiger massivparalleler supercomputer
US6898691B2 (en) * 2001-06-06 2005-05-24 Intrinsity, Inc. Rearranging data between vector and matrix forms in a SIMD matrix processor
US6961888B2 (en) 2002-08-20 2005-11-01 Flarion Technologies, Inc. Methods and apparatus for encoding LDPC codes
US8380778B1 (en) * 2007-10-25 2013-02-19 Nvidia Corporation System, method, and computer program product for assigning elements of a matrix to processing threads with increased contiguousness
WO2011156247A2 (en) 2010-06-11 2011-12-15 Massachusetts Institute Of Technology Processor for large graph algorithm computations and matrix operations
US8549259B2 (en) 2010-09-15 2013-10-01 International Business Machines Corporation Performing a vector collective operation on a parallel computer having a plurality of compute nodes
US8996518B2 (en) * 2010-12-20 2015-03-31 Sas Institute Inc. Systems and methods for generating a cross-product matrix in a single pass through data using single pass levelization
CN102141976B (zh) 2011-01-10 2013-08-14 中国科学院软件研究所 稀疏矩阵的对角线数据存储方法及基于该方法的SpMV实现方法
US9665531B2 (en) 2012-06-13 2017-05-30 International Business Machines Corporation Performing synchronized collective operations over multiple process groups
US9170836B2 (en) * 2013-01-09 2015-10-27 Nvidia Corporation System and method for re-factorizing a square matrix into lower and upper triangular matrices on a parallel processor
JP6083300B2 (ja) 2013-03-29 2017-02-22 富士通株式会社 プログラム、並列演算方法および情報処理装置
US9367519B2 (en) * 2013-08-30 2016-06-14 Microsoft Technology Licensing, Llc Sparse matrix data structure
US9471377B2 (en) 2013-11-13 2016-10-18 Reservoir Labs, Inc. Systems and methods for parallelizing and optimizing sparse tensor computations
CN103984527B (zh) * 2014-04-01 2017-12-15 杭州电子科技大学 优化稀疏矩阵向量乘提升不可压缩管流模拟效率的方法
US9715481B2 (en) 2014-06-27 2017-07-25 Oracle International Corporation Approach for more efficient use of computing resources while calculating cross product or its approximation for logistic regression on big data sets
US9805001B2 (en) * 2016-02-05 2017-10-31 Google Inc. Matrix processing apparatus
US9898441B2 (en) * 2016-02-05 2018-02-20 Google Llc Matrix processing apparatus

Also Published As

Publication number Publication date
US20220391472A1 (en) 2022-12-08
US20200012705A1 (en) 2020-01-09
KR20230002254A (ko) 2023-01-05
US20170228341A1 (en) 2017-08-10
TW202011226A (zh) 2020-03-16
TW201732645A (zh) 2017-09-16
TW202131172A (zh) 2021-08-16
US10719575B2 (en) 2020-07-21
BR102016030970A2 (pt) 2018-07-17
KR20170093698A (ko) 2017-08-16
CN112000919B (zh) 2022-04-05
JP2022000781A (ja) 2022-01-04
TWI670613B (zh) 2019-09-01
CN107045493A (zh) 2017-08-15
KR20190054052A (ko) 2019-05-21
CN107045493B (zh) 2020-08-18
US10417303B2 (en) 2019-09-17
JP7187635B2 (ja) 2022-12-12
JP2023021171A (ja) 2023-02-09
CN112000919A (zh) 2020-11-27
US20210034697A1 (en) 2021-02-04
US9798701B2 (en) 2017-10-24
US9805001B2 (en) 2017-10-31
US11366877B2 (en) 2022-06-21
KR102635985B1 (ko) 2024-02-08
KR20200053461A (ko) 2020-05-18
BR102016030970A8 (pt) 2018-07-31
US20180060276A1 (en) 2018-03-01
KR102483303B1 (ko) 2022-12-29
EP3203382A1 (en) 2017-08-09
KR101980365B1 (ko) 2019-05-20
TWI781509B (zh) 2022-10-21
US20170228343A1 (en) 2017-08-10
SG10201610977QA (en) 2017-09-28
TWI624763B (zh) 2018-05-21
TW201826143A (zh) 2018-07-16
TWI718604B (zh) 2021-02-11
EP4160448A1 (en) 2023-04-05
JP2017138965A (ja) 2017-08-10
JP2019153333A (ja) 2019-09-12
JP6978467B2 (ja) 2021-12-08
KR102112094B1 (ko) 2020-05-18
JP7797365B2 (ja) 2026-01-13
JP6524052B2 (ja) 2019-06-05

Similar Documents

Publication Publication Date Title
BR102016030970A8 (pt) Aparelho de processamento de matriz
IL283696A (en) System and method for increasing application databases with blockchain technology
PH12019501638B1 (en) Login information processing method and device
EP4617851A3 (en) Dynamic computation of system response volume
MX2018005690A (es) Sistemas y metodos para procesar contenido utilizando redes neuronales convolucionales.
MX390379B (es) Capas de normalizacion por lotes.
WO2018209105A3 (en) Wearable multimedia device and cloud computing platform with application ecosystem
PH12018500552A1 (en) Feature synchronisation system and method for electronic vapour provision systems
EP4694156A3 (en) Sharing access to a media service
PH12019501169B1 (en) Multi-blockchain network data processing method, apparatus, and server
EP2953065A3 (en) Generating representations of input sequences using neural networks
EP2787449A3 (en) Text data processing method and corresponding electronic device
MX2016013044A (es) Administrador de politicas de un dispositivo.
EP4610929A3 (en) Neural network for generating synthetic medical images
EP4254220A3 (en) Methods and systems for digital reward processing
EP4597302A3 (en) Systems, methods, and devices for an enterprise internet-of-things application development platform
GB2549879A (en) Auto discovery of configuration items
GB2524216A (en) Dual sensor system and related data manipulation methods and uses
GB2541577A (en) Method and apparatus for accelerated data translation
MY182121A (en) Electronic payment service processing method and device, and electronic payment method and device
MX2021004983A (es) Sistemas y metodos para modificacion de busqueda.
CA3002470A1 (en) Systems and methods for media production and editing
MX373770B (es) Presentación de entornos informáticos en múltiples dispositivos.
WO2015167765A3 (en) Temporal spike encoding for temporal learning
WO2015013139A8 (en) Native application testing