Search Results - Algorithm−Data Co-Design*

DDC-PIM: Efficient Algorithm/Architecture Co-Design for Doubling Data Capacity of SRAM-Based Processing-in-Memory by Duan, Cenlin, Yang, Jianlei, He, Xiaolin, Qi, Yingjie, Wang, Yikun, Wang, Yiou, He, Ziyan, Yan, Bonan, Wang, Xueyan, Jia, Xiaotao, Pan, Weitao, Zhao, Weisheng

“… algorithm/architecture co-design methodology that effectively doubles the equivalent data capacity…”
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3-D In-Sensor Computing for Real-Time DVS Data Compression: 65-nm Hardware-Algorithm Co-Design by Nair, Gopikrishnan R., Nalla, Pragnya S., Krishnan, Gokul, Anupreetham, Oh, Jonghyun, Hassan, Ahmed, Yeo, Injune, Kasichainula, Kishore, Seok, Mingoo, Seo, Jae-Sun, Cao, Yu

“…Traditional IO links are insufficient to transport high volume of image sensor data, under stringent power and latency constraints. To address this, we…”
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Data mining–based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design by Hsu, Chi-Yao, Lin, Sheng-Fuu, Chang, Jyun-Wei

“…This study proposes a data mining–based hierarchical cooperative coevolutionary algorithm (DMHCCA…”
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Analysis of an evolutionary RBFN design algorithm, CO 2RBFN, for imbalanced data sets by Pérez-Godoy, María Dolores, Fernández, Alberto, Rivera, Antonio Jesús, del Jesus, María José

“…In the classification problem field, we often encounter many real application areas in which the data do not have an equitable distribution among the different…”
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The case for data science in experimental chemistry: examples and recommendations by Yano, Junko, Gaffney, Kelly J., Gregoire, John, Hung, Linda, Ourmazd, Abbas, Schrier, Joshua, Sethian, James A., Toma, Francesca M.

“…The physical sciences community is increasingly taking advantage of the possibilities offered by modern data science to solve problems in experimental…”
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DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory by Duan, Cenlin, Yang, Jianlei, He, Xiaolin, Qi, Yingjie, Wang, Yikun, Wang, Yiou, He, Ziyan, Bonan Yan, Wang, Xueyan, Jia, Xiaotao, Pan, Weitao, Zhao, Weisheng

“… algorithm/architecture co-design methodology that effectively doubles the equivalent data capacity…”
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Learning analytics made in France: the METAL project by Brun, Armelle, Bonnin, Geoffray, Castagnos, Sylvain, Roussanaly, Azim, Boyer, Anne

“…Purpose The purpose of this paper is to present the METAL project, a French open learning analytics (LA) project for secondary school, that aims at improving…”
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Design and analysis of cooperative wireless data access algorithms in multi-radio wireless networks by Lee, Kiwon, Jang, Insun, Pack, Sangheon, Lee, Wonjun

“…In the future, most mobile nodes will have multiple radio interfaces, and this feature can be exploited to reduce the transmission cost in wireless data access…”
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Data mining and design of electromagnetic properties of Co/FeSi filled coatings based on genetic algorithms optimized artificial neural networks (GA-ANN) by Guan, Zhen-Jie, Li, Rui, Jiang, Jian-Tang, Song, Bo, Gong, Yuan-Xun, Zhen, Liang

“…It is difficult to establish analytical relationships between coating parameters (type and filling ratios of absorbent) and electromagnetic (EM) properties…”
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An Energy-Efficient Accelerator for Medical Image Reconstruction From Implicit Neural Representation by Rao, Chaolin, Wu, Qing, Zhou, Pingqiang, Yu, Jingyi, Zhang, Yuyao, Lou, Xin

“… In particular, we propose a dedicated hardware architecture based on an optimized computation flow for the INR-based reconstruction algorithm, which co-designs data reuse and computation load…”
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ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse by Kim, Jongmin, Lee, Gwangho, Kim, Sangpyo, Sohn, Gina, Rhu, Minsoo, Kim, John, Ahn, Jung Ho

“… ARK enables practical FHE workloads with a novel algorithm-architecture co-design to accelerate…”
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Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design by Li, Gen, Shu, Zhihao, Ji, Jie, Qin, Minghai, Afghah, Fatemeh, Niu, Wei, Ma, Xiaolong

“…Deep neural networks (DNNs) are frequently employed in a variety of computer vision applications. Nowadays, an emerging trend in the current video distribution…”
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Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception by Zhou, Sheng, Gao, Chang, Delbruck, Tobi, Verhelst, Marian, Liu, Shih-Chii

“… We categorize various forms of dynamic sparsity rooted in data redundancy and discuss potential strategies to enhance and exploit it through algorithm-hardware co-design…”
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SparGNN: Efficient Joint Feature-Model Sparsity Exploitation in Graph Neural Network Acceleration by Yin, Chen, Jiang, Jianfei, Wang, Qin, Mao, Zhigang, Jing, Naifeng

“… To this end, this paper proposes SparGNN, an algorithm and accelerator co-design that can efficiently exploit data sparsity in both features and models to speedup GNN acceleration while reserving its accuracy…”
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Co-Designed Communication and Computing for Data Reliability in Industrial Cyber-Physical Systems With Cloud-Fog Automation by Fan, Xiaoxuan, Deng, Xianjun, Liu, Shenghao, Zhu, Chenlu, Zhou, Xinlei, Yi, Lingzhi, Wu, Libing, Park, Jong Hyuk

“… Motivated by this fact, this paper co-designs communication architecture, algorithms, and computing models for next-generation industrial CPSs with Cloud-Fog Automation to ensure…”
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Transmission power scheduling and control co-design for wireless sensor networks by Wen, Shixi, Guo, Ge, Chen, Bo, Gao, Xiue

“…This paper discusses transmission power scheduling and control co-design in wireless sensor networks (WSNs) under communication energy constraints, in which…”
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CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning by Zhang, Sai Qian, Tambe, Thierry, Cuevas, Nestor, Wei, Gu-Yeon, Brooks, David

“…On-device learning allows AI models to adapt to user data, thereby enhancing service quality on edge platforms. However, training AI on resource-limited…”
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Data and Power Efficient Intelligence with Neuromorphic Learning Machines by Neftci, Emre O.

“…The success of deep networks and recent industry involvement in brain-inspired computing is igniting a widespread interest in neuromorphic hardware that…”
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Data sharing in VANETs based on evolutionary fuzzy game by Liu, Jianhua, Wang, Xin, Yue, Guangxue, Shen, Shigen

“…There is a growing interest in enabling sharing data transmissions in Vehicular Ad hoc Networks (VANETs). However, due to the constant link disconnections and…”
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INTERNATIONAL PATENT: NANJING PROFETA INTELLIGENT TECHNOLOGY CO., LTD. FILES APPLICATION FOR "BIG DATA-BASED INTELLIGENT ALGORITHM AND SYSTEM FOR INTRAORAL PROSTHESIS DESIGN SCHEME"

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