A framework for automatic generation of convolutional neural networks efficient hardware accelerators / (Record no. 171794)
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000 -LEADER | |
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fixed length control field | 03937namaa22004091i 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - أخر تعامل مع التسجيلة | |
control field | 20250512115709.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250429s2024 ua a|||frm||| 000 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloguing agency | EG-GICUC |
Language of cataloging | eng |
Transcribing agency | EG-GICUC |
Modifying agency | EG-GICUC |
Description conventions | rda |
041 0# - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
Language code of summary or abstract | eng |
-- | ara |
049 ## - Acquisition Source | |
Acquisition Source | Deposit |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 623.043 |
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
Classification number | 623.043 |
Edition number | 21 |
097 ## - Degree | |
Degree | M.Sc |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
Local Call Number | Cai01.13.08.M.Sc.2024.Ah.F |
100 0# - MAIN ENTRY--PERSONAL NAME | |
Authority record control number or standard number | Ahmed Hani Mohamed Abdullah Elgohary, |
Preparation | preparation. |
245 12 - TITLE STATEMENT | |
Title | A framework for automatic generation of convolutional neural networks efficient hardware accelerators / |
Statement of responsibility, etc. | by Ahmed Hani Mohamed Abdullah Elgohary ; Supervisors Dr. Omar Ahmed Ali Nasr. |
246 15 - VARYING FORM OF TITLE | |
Title proper/short title | اطار عمل للانشاء التلقائي لمسرعات اجهزة فعالة للشبكات العصبية التلافيفية / |
264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 65 pages : |
Other physical details | illustrations ; |
Dimensions | 30 cm. + |
Accompanying material | CD. |
336 ## - CONTENT TYPE | |
Content type term | text |
Source | rda content |
337 ## - MEDIA TYPE | |
Media type term | Unmediated |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | volume |
Source | rdacarrier |
502 ## - DISSERTATION NOTE | |
Dissertation note | Thesis (M.Sc)-Cairo University, 2024. |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Bibliography: pages 61-65. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This thesis presents a framework that targets generating portable accelerators for convolutional neural networks based on Register Transfer Level (RTL) that can be synthesized on any Field Programmable Gate Arrays (FPGA), and it achieves high performance, low power consumption with optimized FPGA resource, this was achieved by utilizing multiple memory compression techniques such as weights quantization and weights pruning which minimize the memory demand which led to getting rid of off-chip memories that is used by most of the previous frameworks. Also, the framework gives the user the ability to choose between different targets which are (minimum latency, minimum hardware sources or best performance-to-resources efficiency) by choosing the level of parallelism in CNNs layers |
520 ## - SUMMARY, ETC. | |
Summary, etc. | تقدم هذه الأطروحة إطار عمل يستهدف إنشاء مسرعات قابلة للتعديل للشبكات العصبية التلافيفية باستخدام لغة وصف الدوائر الالكترونية الرقمية و الذي يمكن تصنيعها على أي دائرة مصفوفات قابلة للبرمجة، ويحقق هذا أداءً عاليًا و استهلاك طاقة منخفضة و استخدام موارد مثلى من الدوائر الالكترونية الرقمية االقابلة للبرمجة، تم تحقيق ذلك من خلال استخدام تقنيات ضغط الذاكرة المتعددة مثل اهمال المعاملات الاقل تأثيرا و الزام المعاملات بمجموعة محددة من القيم مما يقلل من الطلب على الذاكرة مما أدى إلى التخلص من الذاكرة خارج الشريحة التي تستخدمها معظم أطر العمل السابقة. كما يمنح الإطار المستخدم القدرة على الاختيار بين أهداف مختلفة وهي (الحد الأدنى من زمن الوصول أو الحد الأدنى من موارد الأجهزة أو أفضل كفاءة للأداء إلى الموارد) عن طريق اختيار مستوى التوازي في الشبكة العصبية التلافيفية المستهدفة. |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
Issues CD | Issues also as CD. |
546 ## - LANGUAGE NOTE | |
Text Language | Text in English and abstract in Arabic & English. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Electronics Engineering |
Source of heading or term | qrmak |
653 #0 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Convolutional neural networks (CNNs) |
-- | Field programmable gate arrays (FPGAs) |
-- | Automation |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Omar Ahmed Ali Nasr |
Relator term | thesis advisor. |
900 ## - Thesis Information | |
Grant date | 01-01-2024 |
Supervisory body | Omar Ahmed Ali Nasr |
Discussion body | Hossam Aly H. Fahmy |
-- | Ahmed Hassan Madian |
Universities | Cairo University |
Faculties | Faculty of Engineering |
Department | Department of Electronics and Communications Engineering |
905 ## - Cataloger and Reviser Names | |
Cataloger Name | Shimaa |
Reviser Names | Eman Ghareb |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Thesis |
Edition | 21 |
Suppress in OPAC | No |
Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
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Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 29.04.2025 | 91061 | Cai01.13.08.M.Sc.2024.Ah.F | 01010110091061000 | 29.04.2025 | 29.04.2025 | Thesis |