CCGrid

Publications

2023

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. CCGrid (2023)
Adithya Hegde, Sameer G. Kulkarni, Abhinandan S. Prasad
COUNSEL: Cloud Resource Configuration Management using Deep Reinforcement Learning. CCGrid (2023)
Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan
XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. CCGrid (2023)
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. CCGrid (2023)
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)
Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata
Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. CCGrid (2023)
Yogesh Dasgaonkar
Use of Cost Surface Analysis and Stream Order Analysis for Computing Shortest Paths. CCGrid (2023)
Suman Raj, Harshil Gupta, Yogesh Simmhan
Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. CCGrid (2023)
Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Biagio Cosenza, Thomas Fahringer
An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. CCGrid (2023)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid (2023)
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. CCGrid (2023)
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)
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. CCGrid (2023)
Samuel S. Ogden, Tian Guo
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. CCGrid (2023)
Majid Salimi Beni, Luigi Crisci, Biagio Cosenza
EMPI: Enhanced Message Passing Interface in Modern C++. CCGrid (2023)
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)
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid (2023)
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)
Yannick Emonds, Lorenz Braun, Holger Fröning
CUDAsap: Statically-Determined Execution Statistics as Alternative to Execution-Based Profiling. CCGrid (2023)
Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu
Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. CCGrid (2023)
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid (2023)
Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara
Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. CCGrid (2023)
Waqwoya Abebe, Ali Jannesari
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. CCGrid (2023)
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)
John Ravi, Suren Byna, Michela Becchi
Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGrid (2023)
Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. CCGrid (2023)
Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup
The SPEC-RG Reference Architecture for The Compute Continuum. CCGrid (2023)
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)
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023 CCGrid (2023)
Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu
Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. CCGrid (2023)
Weiliang Zheng, Zhenxiang Chen, Yang Li, Xiaoqing Jiang, Xueyang Cao
Speaker recognition system of flexible throat microphone using contrastive learning. CCGrid (2023)
Miaoling Dai, Chenhong Cao, Tong Liu, Meijia Su, Yufeng Li, Jiangtao Li
WiDual: User Identified Gesture Recognition Using Commercial WiFi. CCGrid (2023)
Sanha Maeng, Gordon Euhyun Moon, Sungyong Park
Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning. CCGrid (2023)
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. CCGrid (2023)
Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid (2023)
Tiantian Lv, Lu Wu, Zhigang Zhao, Chunxiao Wang, Chuantao Li
A Deep Learning Pipeline Parallel Optimization Method. CCGrid (2023)
Surabhi Garg, Meena Singh Dilip Thakur, M. A. Rajan, Lakshmi Padmaja Maddali, Vigneswaran Ramachandran
PrivFlow: Secure and Privacy Preserving Serverless Workflows on Cloud. CCGrid (2023)
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. CCGrid (2023)
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. CCGrid (2023)
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)
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. CCGrid (2023)
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)
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)
Sumaiya Shaikh, Saurabh Kumar, Debadatta Mishra
KalpaVriksh: Efficient and Cost-effective GUI Application Hosting using Singleton Snapshots. CCGrid (2023)
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGrid (2023)
Sahil Tyagi, Prateek Sharma
Scavenger: A Cloud Service For Optimizing Cost and Performance of ML Training. CCGrid (2023)
Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar
Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. CCGrid (2023)
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)
Daokuan Bai, Shanshan Wang, Wenyue Wang, Hua Wang, Chuan Zhao, Peng Yuan, Zhenxiang Chen
Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding. CCGrid (2023)
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)