BR112022018896A2 - Processamento de modificação de fluxo de dados para reduzir os efeitos de potência durante processamento paralelo - Google Patents

Processamento de modificação de fluxo de dados para reduzir os efeitos de potência durante processamento paralelo

Info

Publication number
BR112022018896A2
BR112022018896A2 BR112022018896A BR112022018896A BR112022018896A2 BR 112022018896 A2 BR112022018896 A2 BR 112022018896A2 BR 112022018896 A BR112022018896 A BR 112022018896A BR 112022018896 A BR112022018896 A BR 112022018896A BR 112022018896 A2 BR112022018896 A2 BR 112022018896A2
Authority
BR
Brazil
Prior art keywords
data
processing
sub
blocks
reduce power
Prior art date
Application number
BR112022018896A
Other languages
English (en)
Portuguese (pt)
Inventor
Jun Park Hee
Gerard Hofmann Richard
Original Assignee
Qualcomm Inc
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 Qualcomm Inc filed Critical Qualcomm Inc
Publication of BR112022018896A2 publication Critical patent/BR112022018896A2/pt

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5066Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • G06F13/14Handling requests for interconnection or transfer
    • G06F13/20Handling requests for interconnection or transfer for access to input/output bus
    • G06F13/28Handling requests for interconnection or transfer for access to input/output bus using burst mode transfer, e.g. direct memory access DMA, cycle steal
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5094Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Image Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Power Sources (AREA)
  • Complex Calculations (AREA)
BR112022018896A 2020-03-30 2021-03-29 Processamento de modificação de fluxo de dados para reduzir os efeitos de potência durante processamento paralelo BR112022018896A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/834,986 US11507423B2 (en) 2020-03-30 2020-03-30 Processing data stream modification to reduce power effects during parallel processing
PCT/US2021/070327 WO2021203125A1 (en) 2020-03-30 2021-03-29 Processing data stream modification to reduce power effects during parallel processing

Publications (1)

Publication Number Publication Date
BR112022018896A2 true BR112022018896A2 (pt) 2022-11-08

Family

ID=75640050

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112022018896A BR112022018896A2 (pt) 2020-03-30 2021-03-29 Processamento de modificação de fluxo de dados para reduzir os efeitos de potência durante processamento paralelo

Country Status (9)

Country Link
US (2) US11507423B2 (https=)
EP (1) EP4127928A1 (https=)
JP (2) JP7750847B2 (https=)
KR (1) KR20220154698A (https=)
CN (2) CN115315688B (https=)
BR (1) BR112022018896A2 (https=)
PH (1) PH12022551885A1 (https=)
TW (1) TWI876016B (https=)
WO (1) WO2021203125A1 (https=)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11513799B2 (en) * 2019-11-04 2022-11-29 Apple Inc. Chained buffers in neural network processor
US11507423B2 (en) 2020-03-30 2022-11-22 Qualcomm Incorporated Processing data stream modification to reduce power effects during parallel processing
US11972348B2 (en) 2020-10-30 2024-04-30 Apple Inc. Texture unit circuit in neural network processor
US12277494B2 (en) 2020-11-19 2025-04-15 Apple Inc. Multi-dimensional tensor support extension in neural network processor
JP7806459B2 (ja) * 2021-11-22 2026-01-27 富士通株式会社 制御プログラム、情報処理装置および制御方法
US20240152407A1 (en) * 2022-11-04 2024-05-09 Nvidia Corporation Generating sparse neural networks
TWI845081B (zh) * 2022-12-21 2024-06-11 國立成功大學 圖形處理器
US12236241B2 (en) * 2023-02-24 2025-02-25 Arm Limited Data processing apparatus with selectively delayed transmission of operands
CN120234822B (zh) * 2025-05-30 2025-08-08 苏州元脑智能科技有限公司 数据处理方法、电子设备、存储介质及产品

Family Cites Families (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6128416A (en) * 1993-09-10 2000-10-03 Olympus Optical Co., Ltd. Image composing technique for optimally composing a single image from a plurality of digital images
US6775417B2 (en) * 1997-10-02 2004-08-10 S3 Graphics Co., Ltd. Fixed-rate block-based image compression with inferred pixel values
US20020151040A1 (en) * 2000-02-18 2002-10-17 Matthew O' Keefe Apparatus and methods for parallel processing of microvolume liquid reactions
JP3392798B2 (ja) * 2000-02-22 2003-03-31 理想科学工業株式会社 画像属性判別方法および装置
US6788302B1 (en) 2000-08-03 2004-09-07 International Business Machines Corporation Partitioning and load balancing graphical shape data for parallel applications
US6934760B1 (en) 2001-02-04 2005-08-23 Cisco Technology, Inc. Method and apparatus for resequencing of packets into an original ordering using multiple resequencing components
JP2002300402A (ja) * 2001-03-30 2002-10-11 Fuji Photo Film Co Ltd 画像処理装置、方法及び記録媒体
US20070019778A1 (en) * 2005-07-22 2007-01-25 Clouse Melvin E Voxel histogram analysis for measurement of plaque
JP2010111099A (ja) * 2008-11-10 2010-05-20 Canon Inc 画像処理装置およびその制御方法
JPWO2010073922A1 (ja) * 2008-12-25 2012-06-14 日本電気株式会社 誤り訂正符号化装置、復号装置、符号化方法、復号方法、及びそのプログラム
US8521782B2 (en) 2011-07-20 2013-08-27 Salesforce.Com, Inc. Methods and systems for processing large graphs using density-based processes using map-reduce
CN107133018B (zh) * 2011-12-22 2020-12-22 英特尔公司 执行groestl散列的指令
JP6089949B2 (ja) * 2013-05-14 2017-03-08 株式会社リコー Simd型プロセッサ
US9721204B2 (en) * 2013-10-28 2017-08-01 Qualcomm Incorporated Evaluation of a system including separable sub-systems over a multidimensional range
GB2521151B (en) * 2013-12-10 2021-06-02 Advanced Risc Mach Ltd Configurable thread ordering for a data processing apparatus
KR101599133B1 (ko) * 2014-06-09 2016-03-15 주식회사 엔지스테크널러지 네비게이션 장치의 지도 데이터 제공 방법 및 시스템
JP6523428B2 (ja) * 2015-03-04 2019-05-29 オリンパス株式会社 画像処理装置
US9774508B1 (en) 2015-12-02 2017-09-26 Color Genomics, Inc. Communication generation using sparse indicators and sensor data
EP4557209A3 (en) * 2015-06-10 2025-08-13 Mobileye Vision Technologies Ltd. Image processor and methods for processing an image
JP6832155B2 (ja) * 2016-12-28 2021-02-24 ソニーセミコンダクタソリューションズ株式会社 画像処理装置、画像処理方法、及び画像処理システム
US10672175B2 (en) * 2017-04-17 2020-06-02 Intel Corporation Order independent asynchronous compute and streaming for graphics
EP3392804A1 (en) * 2017-04-18 2018-10-24 Koninklijke Philips N.V. Device and method for modelling a composition of an object of interest
US10943171B2 (en) 2017-09-01 2021-03-09 Facebook, Inc. Sparse neural network training optimization
US10803096B2 (en) * 2017-09-28 2020-10-13 Here Global B.V. Parallelized clustering of geospatial data
US11561833B1 (en) * 2018-06-28 2023-01-24 Amazon Technologies, Inc. Allocation and placement of resources for network computation
JP2022500755A (ja) * 2018-09-11 2022-01-04 ホアウェイ・テクノロジーズ・カンパニー・リミテッド 順次計算dagのための異種スケジューリング
US11288436B2 (en) * 2020-01-30 2022-03-29 Taiwan Semiconductor Manufacturing Co., Ltd. Method of analyzing and detecting critical cells
US11507423B2 (en) 2020-03-30 2022-11-22 Qualcomm Incorporated Processing data stream modification to reduce power effects during parallel processing

Also Published As

Publication number Publication date
EP4127928A1 (en) 2023-02-08
US20230078991A1 (en) 2023-03-16
CN115315688B (zh) 2025-12-23
WO2021203125A1 (en) 2021-10-07
TWI876016B (zh) 2025-03-11
KR20220154698A (ko) 2022-11-22
CN115315688A (zh) 2022-11-08
CN121807567A (zh) 2026-04-07
JP7750847B2 (ja) 2025-10-07
US11983567B2 (en) 2024-05-14
JP2026015712A (ja) 2026-01-30
TW202143032A (zh) 2021-11-16
US20210303359A1 (en) 2021-09-30
US11507423B2 (en) 2022-11-22
PH12022551885A1 (en) 2023-11-20
JP2023519665A (ja) 2023-05-12

Similar Documents

Publication Publication Date Title
BR112022018896A2 (pt) Processamento de modificação de fluxo de dados para reduzir os efeitos de potência durante processamento paralelo
MX2023012434A (es) Diagnostico y tratamiento de cancer usando inhibidor de c-met.
BR112021019822A2 (pt) Método e aparelho para cancelamento de transmissão com base na sobreposição de ocasiões de transmissão
EP4379608A3 (en) Semiconductor memory device employing processing in memory (pim) and method of operating the semiconductor memory device
BR112016024774A2 (pt) sistema de criação de website implementável em um dispositivo de computação, e método implementável em um dispositivo de computação
BR112019000353A2 (pt) método para o registro de uma transação de dados
BR112022009350A2 (pt) Método e aparelho para configuração de regra de alarme de dispositivo iot, dispositivo e meio de armazenamento
BR112015030064A2 (pt) método para determinar um desvio de comprimento de trajetória de uma amostra, e aparelho para determinar um desvio de comprimento de trajetória de uma amostra
AR086470A1 (es) Metodo implementado por un dispositivo de computacion y aparatos que utilizan tecnicas de canales de color y marcadores opticos
BR112018068758A2 (pt) método e aparelho para processar uma chapa de impressão litográfica
BR112021006301A2 (pt) método, aparelho e programa de computador
BR112019004001A8 (pt) Redução coerente de potência de interconexão utilizando diretórios de monitoramento divididos controlados por hardware
BR112018006432A2 (pt) aparelho, e, método.
BR112015020422A2 (pt) primeiro dispositivo de rede configurado para determinar uma chave criptográfica compartilhada de bits de comprimento de chave, sistema de compartilhamento de chave, método para determinar uma chave criptográfica compartilhada de bits de comprimento de chave, e, programa de computador
GB2565940A (en) Method and apparatus for scheduling in a non-uniform compute device
BR112022026044A2 (pt) Tratamento de síndrome do x frágil com canabidiol
BR112022008773A2 (pt) Método de processamento de informações multimídia, aparelho, dispositivo eletrônico, e meio
BR112015028454A2 (pt) dispositivo de computação óptico para a determinação de uma característica de uma amostra, método para a utilização de um dispositivo de computação óptico e método de computação óptico
BR112017013350A2 (pt) atenuação térmica em aparelhos com várias unidades de processamento
BR112015021438A2 (pt) ordenamento de preenchimentos de memóra cache com primeira palavra crítica para acelerar acessos a memória cache e sistemas e métodos baseados em processador conexos
BRPI0608139A2 (pt) método e equipamento para gerenciar uma pilha de retorno
BR112023026848A2 (pt) Arquitetura de computação em memória para convolução de profundidade
BR112018012559A2 (pt) ?método para gerenciamento de um aparelho para verificação de pneu, e, aparelho para verificação de pneu?
BR112017020040A2 (pt) dispositivo de computação óptico e método de computação óptico
Yu et al. Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics