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检索条件"机构=Computer Architecture & Parallel Systems"
93 条 记 录,以下是41-50 订阅
排序:
An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data
An Optical Transceiver Reliability Study based on SFP Monito...
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IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID)
作者: Paolo Notaro Qiao Yu Soroush Haeri Jorge Cardoso Michael Gerndt Huawei Technologies Duesseldorf GmbH Munich Germany Chair of Computer Architecture and Parallel Systems Technical University of Munich Germany Chair of Distributed and Operating Systems Technical University of Berlin Germany Department of Informatics Engineering/CISUC University of Coimbra Portugal
The increasing demand for cloud computing drives the expansion in scale of datacenters and their internal optical network, in a strive for increasing bandwidth, high reliability, and lower latency. Optical transceiver...
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Towards the Munich Quantum Software Stack: Enabling Efficient Access and Tool Support for Quantum computers
Towards the Munich Quantum Software Stack: Enabling Efficien...
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Quantum Computing and Engineering (QCE), IEEE International Conference on
作者: Martin Schulz Laura Schulz Martin Ruefenacht Robert Wille Chair of Computer Architecture and Parallel Systems Technical University of Munich Munich Germany QCT Department Leibniz Supercomputing Centre Garching Germany Chair of Design Automation Technical University of Munich Munich Germany
As quantum computing systems mature and move from laboratories to production computing environments, corresponding software stacks are becoming key for their successful utilization. In particular, the expected use of ...
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FedLesScan: Mitigating Stragglers in Serverless Federated Learning
FedLesScan: Mitigating Stragglers in Serverless Federated Le...
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IEEE International Conference on Big Data
作者: Mohamed Elzohairy Mohak Chadha Anshul Jindal Andreas Grafberger Jianfeng Gu Michael Gerndt Osama Abboud Chair of Computer Architecture and Parallel Systems Technische Universität München Garching (near Munich) Germany Huawei Technologies Munich Germany
Federated Learning (FL) is a machine learning paradigm that enables the training of a shared global model across distributed clients while keeping the training data local. While most prior work on designing systems fo... 详细信息
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City models: past, present and future prospects
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Frontiers of Urban and Rural Planning 2025年 第1期3卷 1-24页
作者: Ritter, Helge Herzog, Otthein Rothermel, Kurt Cohn, Anthony G. Wu, Zhiqiang Faculty of Technology Bielefeld University Bielefeld Germany College of Architecture and Urban Planning Tongji University Shanghai People’s Republic of China FB 03 University of Bremen Bremen Germany Institute of Parallel and Distributed Systems University of Stuttgart Stuttgart Germany School of Computer Science University of Leeds Leeds UK The Alan Turing Institute London UK
This paper attempts to take a comprehensive look at the challenges of representing the spatio-temporal structures and dynamic processes that define a city’s overall characteristics. For the task of urban planning and...
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Leveraging Hybrid Classical-Quantum Methods for Efficient Load Rebalancing in HPC
Leveraging Hybrid Classical-Quantum Methods for Efficient Lo...
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High Performance Computing, Networking, Storage and Analysis, SC-W: Workshops of the International Conference for
作者: Justyna Zawalska Minh Chung Katarzyna Rycerz Laura Schulz Martin Schulz Dieter Kranzlmüller Institute of Computer Science AGH University of Krakow Krakow Poland Academic Computer Center CYFRONET AGH Krakow Poland Leibniz Supercomputing Centre (LRZ) Garching bei München Germany MNM-Team Ludwig-Maximilians-Universität München (LMU) Germany Chair for Computer Architecture and Parallel Systems Technical University of Munich (TUM) Germany
Load imbalance is a challenge for parallel applications in High Performance Computing (HPC). It is caused by processes having different execution times or load values, leading to idle or wait times at synchronization ... 详细信息
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Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications
arXiv
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arXiv 2021年
作者: Chadha, Mohak Gerndt, Michael Computer Architecture and Parallel Systems Technische Universität München Garching [near Munich Germany
—Energy efficiency and energy conservation are one of the most crucial constraints for meeting the 20MW power envelope desired for exascale systems. Towards this, most of the research in this area has been focused on... 详细信息
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architecture-specific performance optimization of compute-intensive FaaS functions
arXiv
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arXiv 2021年
作者: Chadha, Mohak Jindal, Anshul Gerndt, Michael Computer Architecture and Parallel Systems Technische Universität München Garching [near Munich Germany
FaaS allows an application to be decomposed into functions that are executed on a FaaS platform. The FaaS platform is responsible for the resource provisioning of the functions. Recently, there is a growing trend towa... 详细信息
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Time series mining at petascale performance  35th
Time series mining at petascale performance
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35th International Conference on High Performance Computing, ISC High Performance 2020
作者: Raoofy, Amir Karlstetter, Roman Yang, Dai Trinitis, Carsten Schulz, Martin Computer Architecture and Parallel Systems Technical University of Munich Garching Germany IfTA GmbH Puchheim Germany NVIDIA Munich Germany
The mining of time series data plays an important role in modern information retrieval and analysis systems. In particular, the identification of similarities within and across time series has garnered significant att... 详细信息
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FedLess: Secure and Scalable Federated Learning Using Serverless Computing
FedLess: Secure and Scalable Federated Learning Using Server...
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IEEE International Conference on Big Data
作者: Andreas Grafberger Mohak Chadha Anshul Jindal Jianfeng Gu Michael Gerndt Chair of Computer Architecture and Parallel Systems Technische Universität München Garching (Near Munich) Germany
The traditional cloud-centric approach for Deep Learning (DL) requires training data to be collected and processed at a central server which is often challenging in privacy-sensitive domains like healthcare. Towards t... 详细信息
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Towards Autoscaling with Guarantees on Kubernetes Clusters
Towards Autoscaling with Guarantees on Kubernetes Clusters
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Autonomic Computing and Self-Organizing systems Companion (ACSOS-C), IEEE International Conference on
作者: Stephen Burroughs Helge Dickel Martin van Zijl Vladimir Podolskiy Michael Gerndt Robi Malik Panos Patros ORKA Cloud and Adaptive Systems Lab University of Waikato New Zealand Chair of Computer Architecture and Parallel Systems Technical University of Munich Germany
Autoscaling is used by cloud providers, microser-vices, and edge computing applications to respond to dynamic load fluctuations. A critical direction of research has focused on providing guarantees under uncertainty t...
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