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检索条件"任意字段=2024 International Symposium on Computer Architecture and High Performance Computing Workshops"
5226 条 记 录,以下是481-490 订阅
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Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing  28
Not All SWAPs Have the Same Cost: A Case for Optimization-Aw...
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28th Annual IEEE international symposium on high-performance computer architecture (HPCA)
作者: Liu, Ji Li, Peiyi Zhou, Huiyang North Carolina State Univ Raleigh NC 27695 USA
Despite rapid advances in quantum computing technologies, the qubit connectivity limitation remains to be a critical challenge. Both near-term NISQ quantum computers and relatively long-term scalable quantum architect... 详细信息
来源: 评论
RAW 2024 Invited Talk-6: Reconfigurable architectures for high-performance computing
RAW 2024 Invited Talk-6: Reconfigurable Architectures for Hi...
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IEEE international symposium on Parallel and Distributed Processing workshops and Phd Forum (IPDPSW)
作者: Kentaro Sano RIKEN
At RIKEN Center for Computational Science (R-CCS), we have been developing an experimental FPGA Cluster named “ESSPER (Elastic and Scalable System for high-performance Reconfigurable computing),” which is a research...
来源: 评论
Fog computing-based efficient data aggregation scheme for smart grid  9
Fog computing-based efficient data aggregation scheme for sm...
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9th international symposium on Advances in Electrical, Electronics, and computer Engineering, ISAEECE 2024
作者: Ma, Jingyue Wang, Aijuan Chongqing University of Technology College of Computer Science and Enginneering Chongqing40054 China
Numerous studies have demonstrated the effectiveness of integrating fog computing with smart grids to reduce data latency, leveraging the low latency characteristics of fog computing. Within this resource-rich and eme... 详细信息
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Qualitative QoS-aware Scheduling of Moldable Parallel Jobs on HPC Clusters  22
Qualitative QoS-aware Scheduling of Moldable Parallel Jobs o...
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22nd IEEE international symposium on Parallel and Distributed Processing with Applications, ISPA 2024
作者: Hou, Zhengxiong Liu, Yubing Shen, Hong Liu, Jiyuan Gu, Jianhua Northwestern Polytechnical University School of Computer Science Xi'an China
In service oriented high-performance computing (HPC) clusters, end users have various Quality of Service (QoS) requirements. Most of the existing research work focuses on quantitative QoS requirements, such as deadlin... 详细信息
来源: 评论
Service Management in Dynamic Edge Environments
Service Management in Dynamic Edge Environments
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29th international Conference on Parallel and Distributed computing (Euro-Par)
作者: Torres-Perez, Claudia Coronado, Estefania Cervello-Pastor, Cristina Siddiqui, Muhammad Shuaib I2CAT Fdn Barcelona Spain Univ Castilla La Mancha High Performance Networks & Architectures Albacete Spain Univ Politecn Cataluna Dept Network Engn Barcelona Spain
Beyond 5G and 6G networks are foreseen to be highly dynamic. These are expected to support and accommodate temporary activities and leverage continuously changing infrastructures from extreme edge to cloud. In additio... 详细信息
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QULATIS: A Quantum Error Correction Methodology toward Lattice Surgery  28
QULATIS: A Quantum Error Correction Methodology toward Latti...
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28th Annual IEEE international symposium on high-performance computer architecture (HPCA)
作者: Ueno, Yosuke Kondo, Masaaki Tanaka, Masamitsu Suzuki, Yasunari Tabuchi, Yutaka Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan Keio Univ Fac Sci & Technol Tokyo Japan RIKEN Ctr Quantum Comp Tokyo Japan Nagoya Univ Grad Sch Engn Nagoya Aichi Japan NTT Comp & Data Sci Labs Tokyo Japan JST PRESTO Tokyo Japan
Due to the high error rate of a qubit, detecting and correcting errors on it is essential for fault-tolerant quantum computing (FTQC). Surface code (SC) associated with its decoding algorithm is one of the most promis... 详细信息
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Exploring Efficient BCD to Binary Conversion architecture Alternatives on FPGA
Exploring Efficient BCD to Binary Conversion Architecture Al...
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IEEE international Conference on high performance computing workshops (HiPCW)
作者: Santosh Kumar Ayan Palchaudhuri Department of Electronics & Communication Engineering School of Electrical and Computer Sciences Indian Institute of Technology Bhubaneswar Khordha Odisha India
BCD operands are used in embedded systems and human-centric applications due to their ease of interpretation. To optimize arithmetic operations on hardware designed for binary inputs, BCD inputs must be converted to b... 详细信息
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Towards Optimizing Computational Costs of Federated Learning in Clouds  33
Towards Optimizing Computational Costs of Federated Learning...
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33rd IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)
作者: Brum, Rafaela Drummond, Lucia Castro, Maria Clicia Teodoro, George Fluminense Fed Univ Niteroi RJ Brazil Univ Estado Rio De Janeiro Rio De Janeiro Brazil Univ Fed Minas Gerais Belo Horizonte MG Brazil
Federated Learning is a strategy where distributed training datasets are processed by several clients coordinated by a central server that keeps the global learning model. This approach is very attractive in the biome... 详细信息
来源: 评论
Development of Fedora Linux Distribution for RISC-V (RV64G) architecture
Development of Fedora Linux Distribution for RISC-V (RV64G) ...
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high performance computing, Networking, Storage and Analysis, SC-W: workshops of the international Conference for
作者: Surendra Billa Arif Badar Rushikesh Jadhav Yogeshwar Sonawane Sanjay Wandhekar HPC Technologies Group Centre for Development of Advanced Computing Pune India
The rapid evolution of the RISC-V architecture presents both opportunities and challenges, particularly for systems lacking support for compressed instructions (RV64G). This paper explores the development of a Fedora ... 详细信息
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MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI  31
MLPerf Power: Benchmarking the Energy Efficiency of Machine ...
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31st IEEE international symposium on high performance computer architecture, HPCA 2025
作者: Tschand, Arya Rajan, Arun Tejusve Raghunath Idgunji, Sachin Ghosh, Anirban Holleman, Jeremy Kiraly, Csaba Ambalkar, Pawan Borkar, Ritika Chukka, Ramesh Cockrell, Trevor Curtis, Oliver Fursin, Grigori Hodak, Miro Kassa, Hiwot Lokhmotov, Anton Miskovic, Dejan Pan, Yuechao Manmathan, Manu Prasad Raymond, Liz John, Tom St. Suresh, Arjun Taubitz, Rowan Zhan, Sean Wasson, Scott Kanter, David Reddi, Vijay Janapa Meta United States Harvard University United States NVIDIA United States UNC Charlotte / Syntiant United States Codex Dell United States Intel United States SMC Japan FlexAI / cTuning AMD United States KRAI Google United States Decompute GATE Overflow India MLCommons
Rapid adoption of machine learning (ML) technologies has led to a surge in power consumption across diverse systems, from tiny IoT devices to massive datacenter clusters. Benchmarking the energy efficiency of these sy... 详细信息
来源: 评论