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2020 – today
- 2024
[j12]Gang Liu, Zeting Wang, Amelie Chi Zhou
, Rui Mao:
Adaptive key partitioning in distributed stream processing. CCF Trans. High Perform. Comput. 6(2): 164-178 (2024)- [c24]Sitian Chen, Haobin Tan, Amelie Chi Zhou, Yusen Li, Pavan Balaji:
UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture. DAC 2024: 211:1-211:6 - [c23]Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma, Amelie Chi Zhou, Rui Mao:
Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach. ICDE 2024: 2082-2095 - [c22]Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu:
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. ICPP 2024: 866-875 - [c21]Amelie Chi Zhou, Rongzheng Huang, Zhoubin Ke, Yusen Li, Yi Wang, Rui Mao:
Tackling Cold Start in Serverless Computing with Multi-Level Container Reuse. IPDPS 2024: 89-99 - [c20]Yao Xiao, Sitian Chen, Amelie Chi Zhou, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang:
Low-Latency Video Conferencing via Optimized Packet Routing and Reordering. IWQoS 2024: 1-10 - [e2]Shadi Ibrahim, Suren Byna, Amelie Chi Zhou:
Proceedings of the 4th Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, CHEOPS 2024, Athens, Greece, 22 April 2024. ACM 2024 [contents] - [e1]Shadi Ibrahim, Suren Byna, Tristan Allard, Jay F. Lofstead, Amelie Chi Zhou, Tassadit Bouadi, Jalil Boukhobza, Diana Moise, Cédric Tedeschi, Jean Luca Bez:
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, SSDBM 2024, Rennes, France, July 10-12, 2024. ACM 2024, ISBN 979-8-4007-1020-9 [contents] - [i11]Yuxin Wang, Yuhan Chen, Zeyu Li, Zhenheng Tang, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu:
Towards Efficient and Reliable LLM Serving: A Real-World Workload Study. CoRR abs/2401.17644 (2024) - [i10]Sitian Chen, Haobin Tan, Amelie Chi Zhou, Yusen Li, Pavan Balaji:
UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture. CoRR abs/2406.13941 (2024) - [i9]Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu:
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. CoRR abs/2408.14736 (2024) - [i8]Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu:
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR abs/2410.12707 (2024) - [i7]Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu:
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. CoRR abs/2410.20380 (2024) - [i6]Sitian Chen, Amelie Chi Zhou, Yucheng Shi, Yusen Li, Xin Yao:
MemANNS: Enhancing Billion-Scale ANNS Efficiency with Practical PIM Hardware. CoRR abs/2410.23805 (2024) - 2023
- [c19]Amelie Chi Zhou, Zhoubin Ke, Jianming Lao:
DyVer: Dynamic Version Handling for Array Databases. ICS 2023: 144-154 - [i5]Yao Xiao, Sitian Chen, Amelie Chi Zhou, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang:
Low-Latency Video Conferencing System for Geo-Distributed Data Centers. CoRR abs/2310.05054 (2023) - [i4]Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu:
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR abs/2310.12670 (2023) - 2022
- [j11]Yao Xiao, Amelie Chi Zhou, Xuan Yang, Bingsheng He:
Privacy-preserving workflow scheduling in geo-distributed data centers. Future Gener. Comput. Syst. 130: 46-58 (2022) - [j10]Amelie Chi Zhou, Weilin Xue, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng:
Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach. IEEE Trans. Parallel Distributed Syst. 33(1): 231-248 (2022) - [j9]Amelie Chi Zhou, Jianming Lao, Zhoubin Ke, Yi Wang, Rui Mao:
FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market. IEEE Trans. Parallel Distributed Syst. 33(11): 2955-2967 (2022) - [c18]Amelie Chi Zhou, Ruibo Qiu, Thomas Lambert, Tristan Allard, Shadi Ibrahim, Amr El Abbadi:
PGPregel: an end-to-end system for privacy-preserving graph processing in geo-distributed data centers. SoCC 2022: 386-402 - [c17]Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao:
Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. ICDE 2022: 2818-2830 - 2021
- [j8]Feng Zhang, Zheng Chen, Chenyang Zhang, Amelie Chi Zhou, Jidong Zhai, Xiaoyong Du:
An Efficient Parallel Secure Machine Learning Framework on GPUs. IEEE Trans. Parallel Distributed Syst. 32(9): 2262-2276 (2021) - 2020
- [j7]Amelie Chi Zhou, Bingkun Shen, Yao Xiao, Shadi Ibrahim, Bingsheng He:
Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters. IEEE Trans. Parallel Distributed Syst. 31(7): 1707-1723 (2020) - [c16]Zheng Chen, Feng Zhang, Amelie Chi Zhou, Jidong Zhai, Chenyang Zhang, Xiaoyong Du:
ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs. ICPP 2020: 22:1-22:11
2010 – 2019
- 2019
- [j6]Amelie Chi Zhou, Yao Xiao, Yifan Gong, Bingsheng He, Jidong Zhai, Rui Mao:
Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers. IEEE Trans. Parallel Distributed Syst. 30(8): 1872-1888 (2019) - [c15]Jing Chen, Yi Wang, Amelie Chi Zhou, Rui Mao, Tao Li:
PATCH: Process-Variation-Resilient Space Allocation for Open-Channel SSD with 3D Flash. DATE 2019: 216-221 - [c14]Shangyu Wu, Yi Wang, Amelie Chi Zhou, Rui Mao, Zili Shao, Tao Li:
Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture. DATE 2019: 806-811 - [c13]Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng:
Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. ICPP 2019: 6:1-6:10 - [c12]Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He:
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. SIGMOD Conference 2019: 705-722 - [r1]Amelie Chi Zhou, Bingsheng He:
Big Data and Exascale Computing. Encyclopedia of Big Data Technologies 2019 - [i3]Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He:
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. CoRR abs/1904.03604 (2019) - 2018
- [j5]Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim:
Improving the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems with Eley. Future Gener. Comput. Syst. 86: 308-318 (2018) - [c11]Jad Darrous, Shadi Ibrahim, Amelie Chi Zhou, Christian Pérez:
Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds. CCGrid 2018: 553-562 - [c10]Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He:
Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters. ICPP 2018: 8:1-8:10 - 2017
- [j4]Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau:
A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds. IEEE Trans. Parallel Distributed Syst. 28(3): 647-661 (2017) - [c9]Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim:
Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems. CLUSTER 2017: 87-91 - [c8]Tien-Dat Phan, Shadi Ibrahim, Amelie Chi Zhou, Guillaume Aupy, Gabriel Antoniu:
Energy-Driven Straggler Mitigation in MapReduce. Euro-Par 2017: 385-398 - [c7]Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He:
On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters. ICDCS 2017: 1397-1407 - [c6]Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze:
Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. ICDE 2017: 659-670 - [c5]Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Chiew Tong Lau:
Multi-objective Optimizations in Geo-Distributed Data Analytics Systems. ICPADS 2017: 519-528 - [c4]Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai:
Efficient process mapping in geo-distributed cloud data centers. SC 2017: 16 - 2016
- [j3]Amelie Chi Zhou, Bingsheng He, Cheng Liu:
Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds. IEEE Trans. Cloud Comput. 4(1): 34-48 (2016) - 2015
- [j2]Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou:
Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism. IEEE Trans. Parallel Distributed Syst. 26(1): 152-162 (2015) - [c3]Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau:
A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds. HPDC 2015: 223-234 - [c2]Yifan Gong, Bingsheng He, Amelie Chi Zhou:
Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution. SC 2015: 32:1-32:12 - 2014
- [j1]Amelie Chi Zhou, Bingsheng He:
Transformation-Based Monetary CostOptimizations for Workflows in the Cloud. IEEE Trans. Cloud Comput. 2(1): 85-98 (2014) - [c1]Amelie Chi Zhou, Bingsheng He:
Simplified Resource Provisioning for Workflows in IaaS Clouds. CloudCom 2014: 650-655 - [i2]Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim:
A Taxonomy and Survey on eScience as a Service in the Cloud. CoRR abs/1407.7360 (2014) - 2013
- [i1]Amelie Chi Zhou, Bingsheng He, Cheng Liu:
Probabilistic Scheduling of Scientific Workflows in Dynamic Cloud Environments. CoRR abs/1306.6410 (2013)
Coauthor Index
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