Suchergebnisse - ACM: C.: Computer Systems Organization

Capitalization of remote collaborative brainstorming activities von Moulin, Claude, Kaeri, Yuki, Sugawara, Kenji, Abel, Marie-Hélène

“… However many other events may happen which can only be captured by videos. We use the mandatory system of video conference between two remote teams to capitalize non-tangible results like agreement or disagreement between participants …”
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Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021) von Wan, Zhiyuan, Xia, Xin, Lo, David, Chen, Jiachi, Luo, Xiapu, Yang, Xiaohu

“… Smart contracts have been plagued by security incidents, which resulted in substantial financial losses. Given numerous research efforts in addressing the …”
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Automatic fuzzy ontology generation for semantic Web von Tho, Q.T., Hui, S.C., Fong, A.C.M., Tru Hoang Cao

“… Ontology is an effective conceptualism commonly used for the semantic Web. Fuzzy logic can be incorporated to ontology to represent uncertainty information …”
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Perception gaps between IS academics and IS practitioners: an exploratory study von Lee, Sooun, Koh, Seokha, Yen, David, Tang, Hung-Lian

“… It has long been recognized that there are significant perception gaps between information systems …”
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Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

“… It is our pleasure to welcome you to the 15th Annual ACM/IEEE International Conference on Human Robot Interaction - HRI 2020 …”
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Networks of Names: Visual Exploration and Semi-Automatic Tagging of Social Networks from Newspaper Articles von Kochtchi, A., Landesberger, T. von, Biemann, C.

“… Understanding relationships between people and organizations by reading newspaper articles is difficult to manage for humans due to the large amount of data …”
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The impact of adoption of identity theft countermeasures on firm value von Bose, Indranil, Leung, Alvin Chung Man

“… Identity theft poses a huge threat to the e-commerce community. Although the crime is a growing menace, firms are uncertain about the payoffs obtained from …”
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Splitwise: Efficient Generative LLM Inference Using Phase Splitting von Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Inigo, Maleki, Saeed, Bianchini, Ricardo

“… Generative large language model (LLM) applications are growing rapidly, leading to large-scale deployments of expensive and power-hungry GPUs. Our …”
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An adaptive case management system to support integrated care services: Lessons learned from the NEXES project von Cano, Isaac, Alonso, Albert, Hernandez, Carme, Burgos, Felip, Barberan-Garcia, Anael, Roldan, Jim, Roca, Josep

“… [Display omitted] •The Adaptive Case Management (ACM) system supports deployment of Integrated Care (IC …”
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A New Formulation of Neural Data Prefetching von Duong, Quang, Jain, Akanksha, Lin, Calvin

“… Temporal data prefetchers have the potential to produce significant performance gains by prefetching irregular data streams. Recent work has introduced a …”
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JESSIE: Synthesizing Social Robot Behaviors for Personalized Neurorehabilitation and Beyond von Kubota, Alyssa, Peterson, Emma I. C., Rajendren, Vaishali, Kress-Gazit, Hadas, Riek, Laurel D.

“… JESSIE is a robotic system that enables novice programmers to program social robots by expressing high-level specifications …”
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A Framework for Fine-Grained Synchronization of Dependent GPU Kernels von Jangda, Abhinav, Maleki, Saeed, Dehnavi, Maryam Mehri, Musuvathi, Madan, Saarikivi, Olli

“… Machine Learning (ML) models execute several parallel computations including Generalized Matrix Multiplication, Convolution, Dropout, etc. These computations …”
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Associative Classification With Artificial Immune System von Tien Dung Do, Siu Cheung Hui, Fong, A.C.M., Fong, B.

“… into the classification process. This paper proposes a new approach that we call artificial immune system-associative classification (AIS-AC …”
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Revamping Sampling-Based PGO with Context-Sensitivity and Pseudo-instrumentation von He, Wenlei, Yu, Hongtao, Wang, Lei, Oh, Taewook

“… The ever increasing scale of modern data center demands more effective optimizations, as even a small percentage of performance improvement can result in a …”
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Discovering diverse association rules from multidimensional schema von Usman, Muhammad, Pears, Russel, Fong, A.C.M.

“… •We propose a knowledge discovery methodology to discover diverse association rules.•We utilize machine learning and statistical techniques for designing …”
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FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching von Tong, Jianming, Itagi, Anirudh, Chatarasi, Prasanth, Krishna, Tushar

“… The inference of ML models composed of diverse structures, types, and sizes boils down to the execution of different dataflows (i.e. different tiling, …”
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Designing Cloud Servers for Lower Carbon von Wang, Jaylen, Berger, Daniel S., Kazhamiaka, Fiodar, Irvene, Celine, Zhang, Chaojie, Choukse, Esha, Frost, Kali, Fonseca, Rodrigo, Warrier, Brijesh, Bansal, Chetan, Stern, Jonathan, Bianchini, Ricardo, Sriraman, Akshitha

“… To mitigate climate change, we must reduce carbon emissions from hyperscale cloud computing. We find that cloud compute servers cause the majority of emissions …”
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EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency von Stojkovic, Jovan, Iliakopoulou, Nikoleta, Xu, Tianyin, Franke, Hubertus, Torrellas, Josep

“… While serverless computing is increasingly popular, its energy and power consumption behavior is hardly explored. In this work, we perform a thorough …”
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oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation von Li, Jianhui, Qin, Zhennan, Mei, Yijie, Cui, Jingze, Song, Yunfei, Chen, Ciyong, Zhang, Yifei, Du, Longsheng, Cheng, Xianhang, Jin, Baihui, Zhang, Yan, Ye, Jason, Lin, Eric, Lavery, Dan

“… With the rapid development of deep learning models and hardware support for dense computing, the deep learning (DL) workload characteristics changed …”
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Emotion contagion in agent-based simulations of crowds: a systematic review von van Haeringen, E. S., Gerritsen, C., Hindriks, K. V.

“… We took a systematic approach and collected studies from Web of Science, Scopus, IEEE and ACM that propose agent-based models that include a process of emotion …”
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