| 2024 | k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. | Marta Jaros, Jir Jaros |
| 2024 | Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. | Jir Jaros, Radek Duchon |
| 2024 | K-RAF: A Kubernetes-based Resource Augmentation Framework for Edge Devices. | Youngwoo Jang, Jiseob Byun, Soonbeom Kwon, Illyoung Choi, Dukyun Nam, Byungchul Tak, Gap-Joo Na, Young-Kyoon Suh |
| 2024 | FASOP: Fast yet Accurate Automated Search for Optimal Parallelization of Transformers on Heterogeneous GPU Clusters. | Sunyeol Hwang, Eungyeong Lee, Hongseok Oh, Youngmin Yi |
| 2024 | ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs. | Xinning Hui, Yuanchao Xu, Zhishan Guo, Xipeng Shen |
| 2024 | Semantic-Aware Log Understanding and Analysis. | Shaohan Huang, Zhongzhi Luan |
| 2024 | Swarm Storm: An Automated Chaos Tool for Docker Swarm Applications. | Travis Higgins, Devki Nandan Jha, Rajiv Ranjan |
| 2024 | GNNOne: A Unified System Optimizations for GNN Kernels. | Yidong Gong, Pradeep Kumar |
| 2024 | FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example. | Marcin Copik, Alexandru Calotoiu, Pengyu Zhou, Konstantin Taranov, Torsten Hoefler |
| 2024 | EDGELESS: A Software Architecture for Stateful FaaS at the Edge. | Claudio Cicconetti, Emanuele Carlini, Raphael Hetzel, Richard Mortier, Antonio Paradell, Markus Sauer |
| 2024 | A Practical Introduction to Quantum Computing and Networking. | Claudio Cicconetti |
| 2024 | IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning. | Juneseo Chang, Wanju Doh, Yaebin Moon, Eojin Lee, Jung Ho Ahn |
| 2024 | TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. | Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu |
| 2024 | Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field. | Isaac Boixaderas, Sergi Mor, Javier Bartolome, David Vicente, Petar Radojkovic, Paul M. Carpenter, Eduard Ayguad |
| 2024 | Efficient all-to-all Collective Communication Schedules for Direct-connect Topologies. | Prithwish Basu, Liangyu Zhao, Jason Fantl, Siddharth Pal, Arvind Krishnamurthy, Joud Khoury |
| 2024 | Faast: An Efficient Serverless Framework Made Snapshot-based Function Response Fast. | Yongshu Bai, Zhihui Yang, Feng Gao |
| 2024 | Efficient Stream Join Processing: Novel Approaches and Challenges. | Adeel Aslam, Giovanni Simonini |
| 2024 | Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling. | Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman |
| 2024 | HAM-SpMSpV: an Optimized Parallel Algorithm for Masked Sparse Matrix-Sparse Vector Multiplications on multi-core CPUs. | Lei Xu, Haipeng Jia, Yunquan Zhang, Luhan Wang, Xianmeng Jiang |
| 2023 | Let It Go: Relieving Garbage Collection Pain for Latency Critical Applications in Golang. | Junxian Zhao, Xiaobo Zhou, Sang-Yoon Chang, Chengzhong Xu |
| 2023 | FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2023 | Distributed Logical Timestamp Allocation for DBMS Concurrency Control on Many-core Machines. | Qingsheng Zhang, Chen Liang |
| 2023 | Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. | Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park |
| 2023 | HPC Application Performance Prediction with Machine Learning on New Architectures. | Dewi Yokelson, Marc Robert Joseph Charest, Ying Wai Li |
| 2023 | Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism. | Yaqi Xia, Zheng Zhang, Hulin Wang, Donglin Yang, Xiaobo Zhou, Dazhao Cheng |