| 2023 | 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023 Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale |
| 2023 | A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao |
| 2023 | A Cloud-Fog Architecture for Video Analytics on Large Scale Camera Networks Using Semantic Scene Analysis. Kunal Jain, Kishan Sairam Adapa, Kunwar Grover, Ravi Kiran Sarvadevabhatla, Suresh Purini |
| 2023 | A Deep Learning Pipeline Parallel Optimization Method. Tiantian Lv, Lu Wu, Zhigang Zhao, Chunxiao Wang, Chuantao Li |
| 2023 | Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata |
| 2023 | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Biagio Cosenza, Thomas Fahringer |
| 2023 | An Empirical Study of Container Image Configurations and Their Impact on Start Times. Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev |
| 2023 | An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. Paolo Notaro, Qiao Yu, Soroush Haeri, Jorge Cardoso, Michael Gerndt |
| 2023 | An experimental comparison of software-based power meters: focus on CPU and GPU. Mathilde Jay, Vladimir Ostapenco, Laurent Lefèvre, Denis Trystram, Anne-Cécile Orgerie, Benjamin Fichel |
| 2023 | Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu |
| 2023 | Blockchain Proportional Governance Reconfiguration: Mitigating a Governance Oligarchy. Deepal Tennakoon, Vincent Gramoli |
| 2023 | Bottleneck identification and failure prevention with procedural learning in 5G RAN. Tobias Sundqvist, Monowar Bhuyan, Erik Elmroth |
| 2023 | CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen |
| 2023 | CCGRID 2023: A Holistic Approach to Inclusion and Belonging. Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan |
| 2023 | COUNSEL: Cloud Resource Configuration Management using Deep Reinforcement Learning. Adithya Hegde, Sameer G. Kulkarni, Abhinandan S. Prasad |
| 2023 | CUDAsap: Statically-Determined Execution Statistics as Alternative to Execution-Based Profiling. Yannick Emonds, Lorenz Braun, Holger Fröning |
| 2023 | CacheIn: A Secure Distributed Multi-layer Mobility-Assisted Edge Intelligence based Caching for Internet of Vehicles. Ankur Nahar, Himani Sikarwar, Sanyam Jain, Debasis Das |
| 2023 | Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning. Sanha Maeng, Gordon Euhyun Moon, Sungyong Park |
| 2023 | Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar |
| 2023 | Control Channel Isolation in SDN Virtualization: A Machine Learning Approach. Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Chuck Yoo |
| 2023 | CrossLedger: A Pioneer Cross-chain Asset Transfer Protocol. Lokendra Vishwakarma, Amritesh Kumar, Debasis Das |
| 2023 | EMPI: Enhanced Message Passing Interface in Modern C++. Majid Salimi Beni, Luigi Crisci, Biagio Cosenza |
| 2023 | Efficient PRAM and Practical GPU Algorithms for Large Polygon Clipping with Degenerate Cases. M. K. Buddhi Ashan, Satish Puri, Sushil K. Prasad |
| 2023 | Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2023 | FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster |
| 2023 | HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan |
| 2023 | HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud - An Application to Deepfake Detection. Vincent Lannurien, Laurent d'Orazio, Olivier Barais, Esther Bernard, Olivier Weppe, Laurent Beaulieu, Amine Kacete, Stéphane Paquelet, Jalil Boukhobza |
| 2023 | Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari |
| 2023 | How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser |
| 2023 | HyQ: Hybrid I/O Queue Architecture for NVMe over Fabrics to Enable High- Performance Hardware Offloading. Yiquan Chen, Jinlong Chen, Yijing Wang, Yi Chen, Zhen Jin, Jiexiong Xu, Guoju Fang, Wenhai Lin, Chengkun Wei, Wenzhi Chen |
| 2023 | Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal |
| 2023 | Implementing and Optimizing a GPU-aware MPI Library for Intel GPUs: Early Experiences. Chen-Chun Chen, Kawthar Shafie Khorassani, Goutham Kalikrishna Reddy Kuncham, Rahul Vaidya, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | KalpaVriksh: Efficient and Cost-effective GUI Application Hosting using Singleton Snapshots. Sumaiya Shaikh, Saurabh Kumar, Debadatta Mishra |
| 2023 | Layercake: Efficient Inference Serving with Cloud and Mobile Resources. Samuel S. Ogden, Tian Guo |
| 2023 | Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu |
| 2023 | Mixed Precision Based Parallel Optimization of Tensor Mathematical Operations on a New-generation Sunway Processor. Shuwei Fan, Yao Liu, Juliang Su, Xianyou Wu, Qiong Jiang |
| 2023 | Optimal sizing of a globally distributed low carbon cloud federation. Miguel Felipe Silva Vasconcelos, Daniel Cordeiro, Georges Da Costa, Fanny Dufossé, Jean-Marc Nicod, Veronika Rehn-Sonigo |
| 2023 | Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. Waqwoya Abebe, Ali Jannesari |
| 2023 | Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding. Daokuan Bai, Shanshan Wang, Wenyue Wang, Hua Wang, Chuan Zhao, Peng Yuan, Zhenxiang Chen |
| 2023 | PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients. Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini, Vidhi Mittal |
| 2023 | Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems. Amir Nassereldine, Safaa Diab, Mohammed Baydoun, Kenneth Leach, Maxim Alt, Dejan S. Milojicic, Izzat El Hajj |
| 2023 | PrivFlow: Secure and Privacy Preserving Serverless Workflows on Cloud. Surabhi Garg, Meena Singh Dilip Thakur, M. A. Rajan, Lakshmi Padmaja Maddali, Vigneswaran Ramachandran |
| 2023 | Rethinking Design Paradigm of Graph Processing System with a CXL-like Memory Semantic Fabric. Xu Zhang, Yisong Chang, Tianyue Lu, Ke Zhang, Mingyu Chen |
| 2023 | RoUD: Scalable RDMA over UD in Lossy Data Center Networks. Zhiqiang He, Yuxin Chen, Bei Hua |
| 2023 | Runway: In-transit Data Compression on Heterogeneous HPC Systems. John Ravi, Suren Byna, Michela Becchi |
| 2023 | ScaMP: Scalable Meta-Parallelism for Deep Learning Search. Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | Scavenger: A Cloud Service For Optimizing Cost and Performance of ML Training. Sahil Tyagi, Prateek Sharma |
| 2023 | Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. Suman Raj, Harshil Gupta, Yogesh Simmhan |
| 2023 | Serverless Approach to Sensitivity Analysis of Computational Models. Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zajac, Piotr Nowakowski, Andrew J. Narracott, Ian Halliday, Maciej Malawski |
| 2023 | Soft Reliability Aware Scheduling of Real-time Applications on Cloud with MTTF constraints. Manojit Ghose, Krishna Prabin Pandey, Niyati Chaudhari, Aryabartta Sahu |
| 2023 | Speaker recognition system of flexible throat microphone using contrastive learning. Weiliang Zheng, Zhenxiang Chen, Yang Li, Xiaoqing Jiang, Xueyang Cao |
| 2023 | Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, José Pereira, João Paulo |
| 2023 | The SPEC-RG Reference Architecture for The Compute Continuum. Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup |
| 2023 | Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello |
| 2023 | Towards a Multi-objective Scheduling Policy for Serverless-based Edge-Cloud Continuum. Luc Angelelli, Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Grégory Mounié, Denis Trystram |
| 2023 | Use of Cost Surface Analysis and Stream Order Analysis for Computing Shortest Paths. Yogesh Dasgaonkar |
| 2023 | WiDual: User Identified Gesture Recognition Using Commercial WiFi. Miaoling Dai, Chenhong Cao, Tong Liu, Meijia Su, Yufeng Li, Jiangtao Li |
| 2023 | XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan |
| 2023 | hsSpMV: A Heterogeneous and SPM-aggregated SpMV for SW26010-Pro many-core processor. Jingshan Pan, Lei Xiao, Min Tian, Li Wang, Chaochao Yang, Renjiang Chen, Zenghui Ren, Anjun Liu, Guanghui Zhu |