- Tiantian Lv, Lu Wu, Zhigang Zhao, Chunxiao Wang, Chuantao Li:
A Deep Learning Pipeline Parallel Optimization Method. CCGrid 2023: 240-248 - Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, José Pereira, João Paulo:
Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. CCGrid 2023: 47-61 - Sanha Maeng, Gordon Euhyun Moon, Sungyong Park:
Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning. CCGrid 2023: 262-272 - Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu:
Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. CCGrid 2023: 535-544 - Ankur Nahar, Himani Sikarwar, Sanyam Jain, Debasis Das:
CacheIn: A Secure Distributed Multi-layer Mobility-Assisted Edge Intelligence based Caching for Internet of Vehicles. CCGrid 2023: 437-446 - Amir Nassereldine, Safaa Diab, Mohammed Baydoun, Kenneth Leach, Maxim Alt, Dejan S. Milojicic, Izzat El Hajj:
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems. CCGrid 2023: 216-228 - Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen:
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. CCGrid 2023: 249-261 - Paolo Notaro, Qiao Yu, Soroush Haeri, Jorge Cardoso, Michael Gerndt:
An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. CCGrid 2023: 1-12 - Samuel S. Ogden, Tian Guo:
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. CCGrid 2023: 191-202 - Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata:
Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. CCGrid 2023: 524-534 - Jingshan Pan, Lei Xiao, Min Tian, Li Wang, Chaochao Yang, Renjiang Chen, Zenghui Ren, Anjun Liu, Guanghui Zhu:
hsSpMV: A Heterogeneous and SPM-aggregated SpMV for SW26010-Pro many-core processor. CCGrid 2023: 62-70 - Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan:
CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid 2023: 684-685 - Suman Raj, Harshil Gupta, Yogesh Simmhan:
Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. CCGrid 2023: 615-626 - John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGrid 2023: 229-239 - Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar:
Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. CCGrid 2023: 557-567 - Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Biagio Cosenza, Thomas Fahringer:
An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. CCGrid 2023: 82-93 - Sumaiya Shaikh, Saurabh Kumar, Debadatta Mishra:
KalpaVriksh: Efficient and Cost-effective GUI Application Hosting using Singleton Snapshots. CCGrid 2023: 180-190 - Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105 - Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth:
Bottleneck identification and failure prevention with procedural learning in 5G RAN. CCGrid 2023: 426-436 - Deepal Tennakoon, Vincent Gramoli:
Blockchain Proportional Governance Reconfiguration: Mitigating a Governance Oligarchy. CCGrid 2023: 545-556 - Sahil Tyagi, Prateek Sharma:
Scavenger: A Cloud Service For Optimizing Cost and Performance of ML Training. CCGrid 2023: 403-413 - Miguel Felipe Silva Vasconcelos, Daniel Cordeiro, Georges Da Costa, Fanny Dufossé, Jean-Marc Nicod, Veronika Rehn-Sonigo:
Optimal sizing of a globally distributed low carbon cloud federation. CCGrid 2023: 203-215 - Lokendra Vishwakarma, Amritesh Kumar, Debasis Das:
CrossLedger: A Pioneer Cross-chain Asset Transfer Protocol. CCGrid 2023: 568-578 - Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini, Vidhi Mittal:
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients. CCGrid 2023: 377-390 - Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Chuck Yoo:
Control Channel Isolation in SDN Virtualization: A Machine Learning Approach. CCGrid 2023: 273-285 - Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid 2023: 322-330 - Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan:
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid 2023: 311-321 - Xu Zhang, Yisong Chang, Tianyue Lu, Ke Zhang, Mingyu Chen:
Rethinking Design Paradigm of Graph Processing System with a CXL-like Memory Semantic Fabric. CCGrid 2023: 25-35 - Weiliang Zheng, Zhenxiang Chen, Yang Li, Xiaoqing Jiang, Xueyang Cao:
Speaker recognition system of flexible throat microphone using contrastive learning. CCGrid 2023: 640-650 - Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0119-9 [contents]