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23rd CCGRID 2023: Bangalore, India
- 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 - Paolo Notaro, Qiao Yu, Soroush Haeri, Jorge Cardoso, Michael Gerndt:
An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. 1-12 - Yiquan Chen, Jinlong Chen, Yijing Wang, Yi Chen, Zhen Jin, Jiexiong Xu, Guoju Fang, Wenhai Lin, Chengkun Wei, Wenzhi Chen:
HyQ: Hybrid I/O Queue Architecture for NVMe over Fabrics to Enable High- Performance Hardware Offloading. 13-24 - Xu Zhang, Yisong Chang, Tianyue Lu, Ke Zhang, Mingyu Chen:
Rethinking Design Paradigm of Graph Processing System with a CXL-like Memory Semantic Fabric. 25-35 - Zhiqiang He, Yuxin Chen, Bei Hua:
RoUD: Scalable RDMA over UD in Lossy Data Center Networks. 36-46 - 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. 47-61 - 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. 62-70 - Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-Keng Liao:
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. 71-81 - Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Biagio Cosenza, Thomas Fahringer:
An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. 82-93 - 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. 94-105 - Mathilde Jay, Vladimir Ostapenco, Laurent Lefèvre, Denis Trystram, Anne-Cécile Orgerie, Benjamin Fichel:
An experimental comparison of software-based power meters: focus on CPU and GPU. 106-118 - Yannick Emonds, Lorenz Braun, Holger Fröning:
CUDAsap: Statically-Determined Execution Statistics as Alternative to Execution-Based Profiling. 119-130 - Chen-Chun Chen, Kawthar Shafie Khorassani, Goutham Kalikrishna Reddy Kuncham, Rahul Vaidya, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Implementing and Optimizing a GPU-aware MPI Library for Intel GPUs: Early Experiences. 131-140 - Majid Salimi Beni, Luigi Crisci, Biagio Cosenza:
EMPI: Enhanced Message Passing Interface in Modern C++. 141-153 - Vincent Lannurien, Laurent d'Orazio, Olivier Barais, Esther Bernard, Olivier Weppe, Laurent Beaulieu, Amine Kacete, Stéphane Paquelet, Jalil Boukhobza:
HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud - An Application to Deepfake Detection. 154-165 - Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser:
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. 166-179 - Sumaiya Shaikh, Saurabh Kumar, Debadatta Mishra:
KalpaVriksh: Efficient and Cost-effective GUI Application Hosting using Singleton Snapshots. 180-190 - Samuel S. Ogden, Tian Guo:
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. 191-202 - 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. 203-215 - 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. 216-228 - John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. 229-239 - Tiantian Lv, Lu Wu, Zhigang Zhao, Chunxiao Wang, Chuantao Li:
A Deep Learning Pipeline Parallel Optimization Method. 240-248 - 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. 249-261 - Sanha Maeng, Gordon Euhyun Moon, Sungyong Park:
Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning. 262-272 - Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Chuck Yoo:
Control Channel Isolation in SDN Virtualization: A Machine Learning Approach. 273-285 - Adithya Hegde, Sameer G. Kulkarni, Abhinandan S. Prasad:
COUNSEL: Cloud Resource Configuration Management using Deep Reinforcement Learning. 286-298 - Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. 299-310 - Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan:
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. 311-321 - Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. 322-330 - Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. 331-343 - Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu:
Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. 344-354 - Waqwoya Abebe, Ali Jannesari:
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. 355-366 - Daokuan Bai, Shanshan Wang, Wenyue Wang, Hua Wang, Chuan Zhao, Peng Yuan, Zhenxiang Chen:
Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding. 367-376 - Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini, Vidhi Mittal:
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients. 377-390 - Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. 391-402 - Sahil Tyagi, Prateek Sharma:
Scavenger: A Cloud Service For Optimizing Cost and Performance of ML Training. 403-413 - Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. 414-425 - Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth:
Bottleneck identification and failure prevention with procedural learning in 5G RAN. 426-436 - Ankur Nahar, Himani Sikarwar, Sanyam Jain, Debasis Das:
CacheIn: A Secure Distributed Multi-layer Mobility-Assisted Edge Intelligence based Caching for Internet of Vehicles. 437-446 - Surabhi Garg, Meena Singh Dilip Thakur, M. A. Rajan, Lakshmi Padmaja Maddali, Vigneswaran Ramachandran:
PrivFlow: Secure and Privacy Preserving Serverless Workflows on Cloud. 447-458 - Manojit Ghose, Krishna Prabin Pandey, Niyati Chaudhari, Aryabartta Sahu:
Soft Reliability Aware Scheduling of Real-time Applications on Cloud with MTTF constraints. 459-468 - Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup:
The SPEC-RG Reference Architecture for The Compute Continuum. 469-484 - Luc Angelelli, Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Grégory Mounié, Denis Trystram:
Towards a Multi-objective Scheduling Policy for Serverless-based Edge-Cloud Continuum. 485-497 - Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan:
XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. 498-512 - Kunal Jain, Kishan Sairam Adapa, Kunwar Grover, Ravi Kiran Sarvadevabhatla, Suresh Purini:
A Cloud-Fog Architecture for Video Analytics on Large Scale Camera Networks Using Semantic Scene Analysis. 513-523 - Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata:
Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. 524-534 - Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu:
Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. 535-544 - Deepal Tennakoon, Vincent Gramoli:
Blockchain Proportional Governance Reconfiguration: Mitigating a Governance Oligarchy. 545-556 - Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar:
Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. 557-567 - Lokendra Vishwakarma, Amritesh Kumar, Debasis Das:
CrossLedger: A Pioneer Cross-chain Asset Transfer Protocol. 568-578 - M. K. Buddhi Ashan, Satish Puri, Sushil K. Prasad:
Efficient PRAM and Practical GPU Algorithms for Large Polygon Clipping with Degenerate Cases. 579-591 - Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara:
Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. 592-604 - Shuwei Fan, Yao Liu, Juliang Su, Xianyou Wu, Qiong Jiang:
Mixed Precision Based Parallel Optimization of Tensor Mathematical Operations on a New-generation Sunway Processor. 605-614 - Suman Raj, Harshil Gupta, Yogesh Simmhan:
Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. 615-626 - Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zajac, Piotr Nowakowski, Andrew J. Narracott, Ian Halliday, Maciej Malawski:
Serverless Approach to Sensitivity Analysis of Computational Models. 627-639 - Weiliang Zheng, Zhenxiang Chen, Yang Li, Xiaoqing Jiang, Xueyang Cao:
Speaker recognition system of flexible throat microphone using contrastive learning. 640-650 - Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello:
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. 651-661 - Yogesh Dasgaonkar:
Use of Cost Surface Analysis and Stream Order Analysis for Computing Shortest Paths. 662-672 - Miaoling Dai, Chenhong Cao, Tong Liu, Meijia Su, Yufeng Li, Jiangtao Li:
WiDual: User Identified Gesture Recognition Using Commercial WiFi. 673-683 - 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. 684-685
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