مؤتمر
Optimization and deployment of CNNs at the Edge: The ALOHA experience
العنوان: | Optimization and deployment of CNNs at the Edge: The ALOHA experience |
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المؤلفون: | Meloni P., Loi D., Busia P., Deriu G., Pimentel A. D., Sapra D., Stefanov T., Minakova S., Conti F., Benini L., Pintor M., Biggio B., Moser B., Shepelev N., Fragoulis N., Theodorakopoulos I., Masin M., Palumbo F. |
المساهمون: | Meloni P., Loi D., Busia P., Deriu G., Pimentel A.D., Sapra D., Stefanov T., Minakova S., Conti F., Benini L., Pintor M., Biggio B., Moser B., Shepelev N., Fragoulis N., Theodorakopoulos I., Masin M., Palumbo F. |
بيانات النشر: | Association for Computing Machinery, Inc USA New York |
سنة النشر: | 2019 |
المجموعة: | IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
مصطلحات موضوعية: | Convolution Neural Network, FPGA, Hardware accelerators |
الوصف: | Deep learning (DL) algorithms have already proved their effectiveness on a wide variety of application domains, including speech recognition, natural language processing, and image classification. To foster their pervasive adoption in applications where low latency, privacy issues and data bandwidth are paramount, the current trend is to perform inference tasks at the edge. This requires deployment of DL algorithms on low-energy and resource-constrained computing nodes, often heterogenous and parallel, that are usually more complex to program and to manage without adequate support and experience. In this paper, we present ALOHA, an integrated tool flow that tries to facilitate the design of DL applications and their porting on embedded heterogenous architectures. The proposed tool flow aims at automating different design steps and reducing development costs. ALOHA considers hardware-related variables and security, power efficiency, and adaptivity aspects during the whole development process, from pre-training hyperparameter optimization and algorithm configuration to deployment. |
نوع الوثيقة: | conference object |
وصف الملف: | STAMPA |
اللغة: | English |
العلاقة: | info:eu-repo/semantics/altIdentifier/isbn/9781450366854; info:eu-repo/semantics/altIdentifier/wos/WOS:000474686400056; ispartofbook:Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019; 16th ACM International Conference on Computing Frontiers, CF 2019; firstpage:326; lastpage:332; numberofpages:7; info:eu-repo/grantAgreement/EC/H2020/780788; http://hdl.handle.net/11585/730305Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85066029325 |
DOI: | 10.1145/3310273.3323435 |
الإتاحة: | https://doi.org/10.1145/3310273.3323435Test http://hdl.handle.net/11585/730305Test |
حقوق: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.958EAC12 |
قاعدة البيانات: | BASE |
DOI: | 10.1145/3310273.3323435 |
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