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1. (WO2018184208) METHODS AND APPARATUS FOR DEEP LEARNING NETWORK EXECUTION PIPELINE ON MULTI-PROCESSOR PLATFORM
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Pub. No.: WO/2018/184208 International Application No.: PCT/CN2017/079726
Publication Date: 11.10.2018 International Filing Date: 07.04.2017
IPC:
G06F 15/76 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
15
Digital computers in general; Data processing equipment in general
76
Architectures of general purpose stored programme computers
Applicants: YANG, Liu[CN/CN]; CN (BZ)
YAO, Anbang[CN/CN]; CN (BZ)
INTEL CORPORATION[US/US]; 2200 Mission College Blvd. Santa Clara, California 95054, US
Inventors: YANG, Liu; CN
YAO, Anbang; CN
Agent: NTD PATENT AND TRADEMARK AGENCY LIMITED; 10th Floor, Tower C, Beijing Global Trade Center 36 North Third Ring Road East, Dongcheng District Beijing 100013, CN
Priority Data:
Title (EN) METHODS AND APPARATUS FOR DEEP LEARNING NETWORK EXECUTION PIPELINE ON MULTI-PROCESSOR PLATFORM
(FR) PROCÉDÉS ET APPAREIL POUR UN PIPELINE D'EXÉCUTION DE RÉSEAU D'APPRENTISSAGE PROFOND SUR UNE PLATEFORME MULTIPROCESSEUR
Abstract:
(EN) Methods and systems are disclosed using an execution pipeline on a multi-processor platform for deep learning network execution. In one example, a network workload analyzer receives a workload, analyzes a computation distribution of the workload, and groups the network nodes into groups. A network executor assigns each group to a processing core of the multi-core platform so that the respective processing core handle computation tasks of the received workload for the respective group.
(FR) L'invention concerne des procédés et des systèmes utilisant un pipeline d'exécution sur une plateforme multiprocesseur pour l'exécution d'un réseau d'apprentissage profond. Dans un exemple, un analyseur de charge de travail de réseau reçoit une charge de travail, analyse une distribution de calcul de la charge de travail et regroupe les nœuds de réseau en groupes. Un exécuteur de réseau attribue chaque groupe à un cœur de traitement de la plateforme multicœur, de telle sorte que le cœur de traitement correspondant gère les tâches de calcul de la charge de travail reçue pour le groupe respectif.
front page image
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)