| 2022 | DC4: Reconstructing Data-Credit-Coupled Congestion Control for Data Centers. | Shan Huang, Dezun Dong, Lingbin Zeng, Zejia Zhou, Yukun Zhou, Xiangke Liao |
| 2022 | Enabling Latency-Sensitive DNN Inference via Joint Optimization of Model Surgery and Resource Allocation in Heterogeneous Edge. | Zhaowu Huang, Fang Dong, Dian Shen, Huitian Wang, Xiaolin Guo, Shucun Fu |
| 2022 | Postmortem Computation of Pagerank on Temporal Graphs. | Md. Maruf Hossain, Erik Saule |
| 2022 | Parallel Network Slicing for Multi-SP Services. | Rongxin Han, Dezhi Chen, Song Guo, Xiaoyuan Fu, Jingyu Wang, Qi Qi, Jianxin Liao |
| 2022 | Distributed-Memory Parallel Contig Generation for De Novo Long-Read Genome Assembly. | Giulia Guidi, Gabriel Raulet, Daniel Rokhsar, Leonid Oliker, Katherine A. Yelick, Aydin Bulu |
| 2022 | Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems. | Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya |
| 2022 | TCB: Accelerating Transformer Inference Services with Request Concatenation. | Boqian Fu, Fahao Chen, Peng Li, Deze Zeng |
| 2022 | DeepCAT: A Cost-Efficient Online Configuration Auto-Tuning Approach for Big Data Frameworks. | Hui Dou, Yilun Wang, Yiwen Zhang, Pengfei Chen |
| 2022 | Energy-efficient Edge Server Management for Edge Computing: A Game-theoretical Approach. | Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Yun Yang |
| 2022 | SMEGA2: Distributed Asynchronous Deep Neural Network Training With a Single Momentum Buffer. | Refael Cohen, Ido Hakimi, Assaf Schuster |
| 2022 | DSSA: Dual-Side Sparse Systolic Array Architecture for Accelerating Convolutional Neural Network Training. | Zhengbo Chen, Qi Yu, Fang Zheng, Feng Guo, Zuoning Chen |
| 2022 | Atos: A Task-Parallel GPU Scheduler for Graph Analytics. | Yuxin Chen, Benjamin Brock, Serban D. Porumbescu, Aydin Bulu, Katherine A. Yelick, John D. Owens |
| 2022 | Simmer: Rate proportional scheduling to reduce packet drops in vGPU based NF chains. | Avinash Kumar Chaurasia, Anshuj Garg, Bhaskaran Raman, Uday Kurkure, Hari Sivaraman, Lan Vu, Sairam Veeraswamy |
| 2022 | Online Scheduling of Moldable Task Graphs under Common Speedup Models. | Anne Benoit, Lucas Perotin, Yves Robert, Hongyang Sun |
| 2022 | MG-GCN: A Scalable multi-GPU GCN Training Framework. | Muhammed Fatih Balin, Kaan Sancak, mit V. atalyrek |
| 2022 | Exploiting CXL-based Memory for Distributed Deep Learning. | Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai |
| 2022 | NCC: Neighbor-aware Congestion Control based on Reinforcement Learning for Datacenter Networks. | Haoyu Wang, Kevin Zheng, Charles Reiss, Haiying Shen |
| 2022 | Highly Parallel Linear Forest Extraction from a Weighted Graph on GPUs. | Christoph Klein, Robert Strzodka |
| 2022 | HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks. | Zining Zhang, Bingsheng He, Zhenjie Zhang |
| 2021 | HDNH: a read-efficient and write-optimized hashing scheme for hybrid DRAM-NVM memory. | Junhao Zhu, Kaixin Huang, Xiaomin Zou, Chenglong Huang, Nuo Xu, Liang Fang |
| 2021 | Communication Avoiding All-Pairs Shortest Paths Algorithm for Sparse Graphs. | Lin Zhu, Qiang-Sheng Hua, Hai Jin |
| 2021 | PREP: Predicting Job Runtime with Job Running Path on Supercomputers. | Longfang Zhou, Xiaorong Zhang, Wenxiang Yang, Yongguo Han, Fang Wang, Yadong Wu, Jie Yu |
| 2021 | ASLDP: An Active Semi-supervised Learning method for Disk Failure Prediction. | Yang Zhou, Fang Wang, Dan Feng |
| 2021 | Multi-level Forwarding and Scheduling Repair Technique in Heterogeneous Network for Erasure-coded Clusters. | Hai Zhou, Dan Feng, Yuchong Hu |
| 2021 | Recursion Brings Speedup to Out-of-Core TensorCore-based Linear Algebra Algorithms: A Case Study of Classic Gram-Schmidt QR Factorization. | Shaoshuai Zhang, Panruo Wu |