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ORCID24th CCGRID 2024: Philadelphia, PA, USA
- 24th IEEE International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024, Philadelphia, PA, USA, May 6-9, 2024. IEEE 2024, ISBN 979-8-3503-9566-2
- Xinyi Li, Ganesh Gopalakrishnan:
FBTuner: A Feedback-Directed Approach for Safe Mixed-Precision Tuning. 1-2 - Kien Trung Pham, Truong Thao Nguyen, Michihiro Koibuchi:
A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network. 1-7 - Alberto Merino, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Fei Chen, Yunping Lyu, Long Yan, José Duato:
A Hybrid Solution to Provide End-to-End Flow Control and Congestion Management in High-Performance Interconnection Networks. 8-17 - Ashwin Kumar, Rajneesh Katkam, Pranav Chaudhary, Priyanka Naik, Mythili Vutukuru:
AppSteer: Framework for Improving Multicore Scalability of Network Functions via Application-aware Packet Steering. 18-27 - W. Pepper Marts, Donald A. Kruse, Matthew G. F. Dosanjh, Whit Schonbein, Scott Levy, Patrick G. Bridges:
CMB: A Configurable Messaging Benchmark to Explore Fine-Grained Communication. 28-38 - Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan:
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. 39-46 - Weijie Huang, Bohong Zhu, Jiwu Shu, Shu Li, Zhengyong Wang, Yu Gao:
PireSPM: Efficient and Recoverable Secure Persistent Memory for Multi-cores. 47-56 - Ming Yang, Xin Yang, Liang Xu, Yefei Hou, Long Xie, Yong Wang:
Towards Better QoS and Lower Costs of P4 EIP Gateway at the Edge. 57-66 - Weikang Weng, Alexandru Uta, Jan S. Rellermeyer:
Brug: An Adaptive Memory (Re-)Allocator. 67-76 - Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei:
Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. 77-86 - Hui Dou, Shanshan Zhu, Yuxuan Zhou, Yiwen Zhang, Jicheng Mei, Yang Wu, Jiaqing Dai:
COTuner: Joint Optimization of Resource Configuration and Software Parameters for Recurring Streaming Jobs on the Cloud. 87-96 - Joseph John, Josh Milthorpe:
Elasticity in a Task-based Dataflow Runtime Through Inter-node GPU Work Stealing. 97-105 - Amit Samanta, Ryan Stutsman:
Fair, Efficient Multi-Resource Scheduling for Stateless Serverless Functions with Anubis. 106-112 - Xiaorui Du, Andrea Piccione, Adriano Pimpini, Stefano Bortoli, Alois Knoll, Alessandro Pellegrini:
HUILLY: A Non-Blocking Ingestion Buffer for Timestepped Simulation Analytics. 113-118 - Ioannis Vardas, Sascha Hunold, Philippe Swartvagher, Jesper Larsson Träff:
Improved Parallel Application Performance and Makespan by Colocation and Topology-aware Process Mapping. 119-124 - Du Liu, Jing Wang, Xinkai Wang, Chao Li, Lu Zhang, Xiaofeng Hou, Xiaoxiang Shi, Minyi Guo:
Improving the Efficiency of Serverless Computing via Core-Level Power Management. 125-135 - Mehmet Savasci, Abel Souza, Li Wu, David E. Irwin, Ahmed Ali-Eldin, Prashant J. Shenoy:
SLO-Power: SLO and Power-aware Elastic Scaling for Web Services. 136-147 - Pierre Jacquet, Thomas Ledoux, Romain Rouvoy:
SweetspotVM: Oversubscribing CPU without Sacrificing VM Performance. 148-157 - Roja Eswaran, Mingjie Yan, Kartik Gopalan:
Tackling Memory Footprint Expansion During Live Migration of Virtual Machines. 158-167 - Jiayun Chen, Qihang Zhou, Weijuan Zhang, Nan Jiang, Yamin Xie, Xiaoqi Jia:
vASP: Full VM Life-cycle Protection Based on Active Security Processor Architecture. 168-177 - Junho Lim, Kyunghwan Kim, Kyungyong Lee:
Workload-Aware Live Migratable Cloud Instance Detector. 178-188 - Jiahui Li, Diange Zhou, Yilin Duan, Xinchuan Li, Hong Yao:
A Clustering-Oriented Method for Open-Domain Named Entity Recognition. 189-195 - Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. 196-205 - Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. 206-215 - Yoonseo Hur, Kyungyong Lee:
CNN Training Latency Prediction Using Hardware Metrics on Cloud GPUs. 216-226 - Yoochan Kim, Kihyun Kim, Yonghyeon Cho, Jinwoo Kim, Awais Khan, Ki-Dong Kang, Baik-Song An, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim:
DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud. 227-235 - Yingchi Mao, Zibo Wang, Chenxin Li, Jiakai Zhang, Shufang Xu, Jie Wu:
Dual Adaptive Compression for Efficient Communication in Heterogeneous Federated Learning. 236-244 - Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu:
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. 245-254 - Xin Hang, Yang Xu, Hongli Xu, Yunming Liao, Lun Wang:
Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. 255-265 - Ziren Xiao, Christopher Leckie, Maria A. Rodriguez:
Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications. 266-272 - Darong Huang, Luis Costero, David Atienza:
Is the powersave governor really saving power? 273-283 - Sijia Liu, Hui Xu, Fanyu Meng, Qianqian Ren:
MDSTGCN : Multi-Scale Dynamic Spatial-Temporal Graph Convolution Network With Edge Feature Embedding for Traffic Forecasting. 284-290 - Xingyue Wang, Huazhong Liu, Jihong Ding, Peng Tan:
Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation. 291-298 - Philipp Raith, Gourav Rattihalli, Aditya Dhakal, Sai Rahul Chalamalasetti, Dejan S. Milojicic, Eitan Frachtenberg, Stefan Nastic, Schahram Dustdar:
Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks. 299-306 - Daegun Yoon, Sangyoon Oh:
Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning. 307-316 - Bailey J. Eccles, Leon Wong, Blesson Varghese:
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization. 317-326 - Tiago Da Silva Barros, Frédéric Giroire, Ramon Aparicio-Pardo, Stéphane Pérennes, Emanuele Natale:
Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression. 327-336 - Sangeeta Kakati, Mats Brorsson:
A Cross-Architecture Evaluation of WebAssembly in the Cloud-Edge Continuum. 337-346 - Yasmine Gara Hellal, Lazhar Hamel, Mohamed Graiet, Daniel Balouek:
A Formal Modeling and Verification Approach for IoT-Cloud Resource-Oriented Applications. 347-356 - Jasenka Dizdarevic, Marc Michalke, Admela Jukan, Xavi Masip-Bruin, Francesco D'Andria:
Benchmarking Performance of Various MQTT Broker Implementations in a Compute Continuum. 357-366 - Jialiang Han, Yudong Han, Ying Zhang, Xiang Jing, Yun Ma:
Demystifying Swarm Learning: An Emerging Decentralized Federated Learning System. 367-373 - George Darzanos, Thanasis G. Papaioannou, George D. Stamoulis:
Efficient and Budget-Balanced Decentralized Management of Federated Cloud and Edge Providers. 374-384 - Peng Kang, Samee U. Khan, Xiaobo Zhou, Palden Lama:
High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching. 385-394 - Yixuan Wang, Abhishek Chandra, Jon B. Weissman:
Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing. 395-407 - Joel Wolfrath, Anirudh Achanta, Abhishek Chandra:
Leveraging Multi-Modal Data for Efficient Edge Inference Serving. 408-418 - Saeed Rahmani, Amir Ali-pour, Camille Coti, Julien Gascon-Samson:
MQTT2EdgePeer: a Robust and Scalable Brokerless Peer-to-Peer Edge Middleware for Topic-Based Publish/Subscribe. 419-424 - Mansub Song, Minji Lee, Sunggon Kim, Hyeonsang Eom, Yongseok Son:
EnC-IoT: An Efficient Encryption and Access Control Framework based on IPFS for Decentralized IoT. 425-434 - Mingyan Fang, Xiao Liu, Jia Xu, Aiting Yao, Fengjie Tang, Xuejun Li:
Multi-Objective Optimization for Joint Task Scheduling and Data Placement in Edge-based AIoT Systems: A Learning-Based Approach. 435-441 - Adi Ashkenazi, Edita Grolman, Aviad Elyashar, Dudu Mimran, Oleg Brodt, Yuval Elovici, Asaf Shabtai:
SMART: Serverless Module Analysis and Recognition Technique for Managed Applications. 442-452 - Lars Schneidenbach, Sandhya Koteshwara, Martin Ohmacht, Apoorve Mohan, Eun Kyung Lee:
STRonG: System Topology Risk Analysis on Graphs. 453-464 - Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha:
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. 465-477 - Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. 478-488 - Jingchang Qin, Yiquan Chen, Shishun Cai, Wenhai Lin, Jiexiong Xu, Zhen Jin, Lifa Cao, Zijie Zheng, Yuzhong Zhang, Yi Chen, Wenzhi Chen:
BlueJay: A Platform to Quantifying the Impact of Memory Latency on Datacenter Application Performance. 489-495 - Qiucheng Liao, James Lin:
TacVar: Tackling Variability in Short-Interval Timing Measurements on X86 Processors. 496-506 - Wenhai Lin, Yiquan Chen, Jiexiong Xu, Zhen Jin, Peiyu Liu, Shishun Cai, Yuzhong Zhang, Jingchang Qin, Yiquan Lin, Wenzhi Chen:
CINDA: Don't Ignore Instructions When Cloning Memory Access Behavior. 507-513 - Ziwei Huang, Shibo Tang, Zihao Chang, Lin Tan, Qichao Lu, Jian Ouyang, Wenbin Lv, Zhicheng Yao, Yungang Bao, Sa Wang:
HAPPIES: a History-Aware Efficient Cloud Resource Overcommitment System. 514-524 - Carson Woods, Derek Schafer, Patrick G. Bridges, Anthony Skjellum:
Quantifying and Modeling Irregular MPI Communication. 525-533 - Xinbiao Gan, Qian Tang, Feng Xiong, Shijie Li, Bo Yang, Tiejun Li:
TianheStar: Orchestrating SSSP Applications on Tianhe Supercomputer. 534-542 - Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan:
XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. 543-556 - Rohan Tikmany, Aniket Modi, Raffay Atiq, Moaz Reyad, Ashish Gehani, Tanu Malik:
Access-Based Carving of Data for Efficient Reproducibility of Containers. 557-566 - Aitor Arjona, Pedro García López, Daniel Barcelona Pons:
Dataplug: Unlocking extreme data analytics with on-the-fly dynamic partitioning of unstructured data. 567-576 - Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun:
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. 577-586 - Vincent Lannurien, Camélia Slimani, Laurent d'Orazio, Olivier Barais, Stéphane Paquelet, Jalil Boukhobza:
HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge - The Case of IDS. 587-597 - Wei Zhang, Houjun Tang, Suren Byna:
IDIOMS: Index-powered Distributed Object-centric Metadata Search for Scientific Data Management. 598-608 - Pengbo Yan, Bohong Zhu, Zhirong Shen, Jiwu Shu, Jiadong Yang:
ZUFS: Enhancing Stability and Endurance in Mobile Devices with Integrated Zoned Namespaces in Universal Flash Storage. 609-615 - Animesh Trivedi, Matthijs Jansen, Krijn Doekemeijer, Sacheendra Talluri, Nick Tehrany:
Reviving Storage Systems Education in the 21st Century - An experience report. 616-625 - Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk, Nicolai Friis, Tobias Guggemos, Ivona Brandic:
Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. 626-635 - Jeffrey Myers II, Yaser Mowafi:
A Preparing Approach to Manipulating Nested Data Structures. 636-637 - Yuan Lu, Dinghuang Hu, Guannan Zhang, Jie Shen, Dezun Dong:
Power of Insensitivity: Fixing Threshold Truncation of Switch Buffer Management Policies. 640-641 - Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar:
A Distributed, Asynchronous Algorithm for Large-Scale Internet Network Topology Analysis. 644-650 - Tianhao Huang, Lingyu Sun, Xiaofeng Hou, Xiaozhi Zhu, Xinfeng Xia, Yutong Wang, Mingxi Chen, Chao Li:
Sub-model Parallelism: A Scale-out Deployment Method for Large Multi-modal DNNs. 651-657 - Sanaz Rabinia, Daniel Grosu:
Data Sharing-Aware Algorithms for Task Allocation in Edge Computing Systems. 658-662 - Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan:
Discovery of Floating-Point Differences Between NVIDIA and AMD GPUs. 663-666 - Roja Eswaran, Mingjie Yan, Kartik Gopalan:
Incorporating Memory Sharing-awareness in Multi-VM Live Migration. 667-670 - Yijie Zhang, Chase Q. Wu:
Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems. 671-675
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last updated on 2024-12-02 21:35 CET by the dblp team
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