| 2024 | FBTuner: A Feedback-Directed Approach for Safe Mixed-Precision Tuning. | Xinyi Li, Ganesh Gopalakrishnan |
| 2024 | TacVar: Tackling Variability in Short-Interval Timing Measurements on X86 Processors. | Qiucheng Liao, James Lin |
| 2024 | FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. | Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan |
| 2024 | HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge - The Case of IDS. | Vincent Lannurien, Camlia Slimani, Laurent d'Orazio, Olivier Barais, Stphane Paquelet, Jalil Boukhobza |
| 2024 | AppSteer: Framework for Improving Multicore Scalability of Network Functions via Application-aware Packet Steering. | Ashwin Kumar, Rajneesh Katkam, Pranav Chaudhary, Priyanka Naik, Mythili Vutukuru |
| 2024 | XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. | 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 |
| 2024 | Evasion attacks on ML in domains with nonlinear constraints. | Mateusz Krzyszton, Bartosz Bok, Pawel Zakieta, Joanna Kolodziej |
| 2024 | Towards a Standardized Data Framework for Threat Detection in Smart Homes. | Jess Kropczynski, Sunkanmi Oluwadare, Nate Elrod, Pranav Mahajan, Amir Asadi, Jake Koch, Lily Edinam Botsyoe |
| 2024 | DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud. | Yoochan Kim, Kihyun Kim, Yonghyeon Cho, Jinwoo Kim, Awais Khan, Ki-Dong Kang, Baik-Song An, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim |
| 2024 | Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. | Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, Andr Merzky, Line Pouchard, Shantenu Jha |
| 2024 | Distributed Computing Systems and Approaches for Polar Science Research: An Interdisciplinary Systematic Review. | Pradeeban Kathiravelu, Ryan Birmingham |
| 2024 | High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching. | Peng Kang, Samee U. Khan, Xiaobo Zhou, Palden Lama |
| 2024 | A Cross-Architecture Evaluation of WebAssembly in the Cloud-Edge Continuum. | Sangeeta Kakati, Mats Brorsson |
| 2024 | Elasticity in a Task-based Dataflow Runtime Through Inter-node GPU Work Stealing. | Joseph John, Josh Milthorpe |
| 2024 | SweetspotVM: Oversubscribing CPU without Sacrificing VM Performance. | Pierre Jacquet, Thomas Ledoux, Romain Rouvoy |
| 2024 | CNN Training Latency Prediction Using Hardware Metrics on Cloud GPUs. | Yoonseo Hur, Kyungyong Lee |
| 2024 | PireSPM: Efficient and Recoverable Secure Persistent Memory for Multi-cores. | Weijie Huang, Bohong Zhu, Jiwu Shu, Shu Li, Zhengyong Wang, Yu Gao |
| 2024 | HAPPIES: a History-Aware Efficient Cloud Resource Overcommitment System. | Ziwei Huang, Shibo Tang, Zihao Chang, Lin Tan, Qichao Lu, Jian Ouyang, Wenbin Lv, Zhicheng Yao, Yungang Bao, Sa Wang |
| 2024 | Sub-model Parallelism: A Scale-out Deployment Method for Large Multi-modal DNNs. | Tianhao Huang, Lingyu Sun, Xiaofeng Hou, Xiaozhi Zhu, Xinfeng Xia, Yutong Wang, Mingxi Chen, Chao Li |
| 2024 | Is the powersave governor really saving power? | Darong Huang, Luis Costero, David Atienza |
| 2024 | Zerologon Explored: In-Depth Analysis and Mitigation Strategies for Microsoft's Critical Vulnerability. | Hongxiang He, Josh Self, Kelton French, Suman Bhunia, Mohammad Salman, Paulo Alexandre Regis |
| 2024 | A Formal Modeling and Verification Approach for IoT-Cloud Resource-Oriented Applications. | Yassmine Gara Hellal, Lazhar Hamel, Mohamed Graiet, Daniel Balouek |
| 2024 | Demystifying Swarm Learning: An Emerging Decentralized Federated Learning System. | Jialiang Han, Yudong Han, Ying Zhang, Xiang Jing, Yun Ma |
| 2024 | Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. | Xin Hang, Yang Xu, Hongli Xu, Yunming Liao, Lun Wang |
| 2024 | Efficient DDoS Attack Detection through Lightweight Deep Learning Model in Cloud Computing Environment. | Brij B. Gupta, Akshat Gaurav, Varsha Arya, Kwok Tai Chui |