Amelie Chi Zhou

According to our database, Amelie Chi Zhou authored at least 45 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive key partitioning in distributed stream processing.

Gang Liu, Zeting Wang, Amelie Chi Zhou, Rui Mao

CCF Trans. High Perform. Comput., April, 2024

MemANNS: Enhancing Billion-Scale ANNS Efficiency with Practical PIM Hardware.

Sitian Chen, Amelie Chi Zhou, Yucheng Shi, Yusen Li, Xin Yao

CoRR, 2024

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion.

Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu

CoRR, 2024

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression.

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

CoRR, 2024

Towards Efficient and Reliable LLM Serving: A Real-World Workload Study.

Yuxin Wang, Yuhan Chen, Zeyu Li, Zhenheng Tang, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu

CoRR, 2024

Low-Latency Video Conferencing via Optimized Packet Routing and Reordering.

Yao Xiao, Sitian Chen, Amelie Chi Zhou, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Tackling Cold Start in Serverless Computing with Multi-Level Container Reuse.

Amelie Chi Zhou, Rongzheng Huang, Zhoubin Ke, Yusen Li, Yi Wang, Rui Mao

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning.

Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach.

Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma, Amelie Chi Zhou, Rui Mao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture.

Sitian Chen, Haobin Tan, Amelie Chi Zhou, Yusen Li, Pavan Balaji

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining.

Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu

CoRR, 2023

Low-Latency Video Conferencing System for Geo-Distributed Data Centers.

Yao Xiao, Sitian Chen, Amelie Chi Zhou, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang

CoRR, 2023

DyVer: Dynamic Version Handling for Array Databases.

Amelie Chi Zhou, Zhoubin Ke, Jianming Lao

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach.

Amelie Chi Zhou, Weilin Xue, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng

IEEE Trans. Parallel Distributed Syst., 2022

FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market.

Amelie Chi Zhou, Jianming Lao, Zhoubin Ke, Yi Wang, Rui Mao

IEEE Trans. Parallel Distributed Syst., 2022

Privacy-preserving workflow scheduling in geo-distributed data centers.

Yao Xiao, Amelie Chi Zhou, Xuan Yang, Bingsheng He

Future Gener. Comput. Syst., 2022

Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers.

Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PGPregel: an end-to-end system for privacy-preserving graph processing in geo-distributed data centers.

Amelie Chi Zhou, Ruibo Qiu, Thomas Lambert, Tristan Allard, Shadi Ibrahim, Amr El Abbadi

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

An Efficient Parallel Secure Machine Learning Framework on GPUs.

Feng Zhang, Zheng Chen, Chenyang Zhang, Amelie Chi Zhou, Jidong Zhai, Xiaoyong Du

IEEE Trans. Parallel Distributed Syst., 2021

2020

Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters.

Amelie Chi Zhou, Bingkun Shen, Yao Xiao, Shadi Ibrahim, Bingsheng He

IEEE Trans. Parallel Distributed Syst., 2020

ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs.

Zheng Chen, Feng Zhang, Amelie Chi Zhou, Jidong Zhai, Chenyang Zhang, Xiaoyong Du

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Big Data and Exascale Computing.

Amelie Chi Zhou, Bingsheng He

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers.

Amelie Chi Zhou, Yao Xiao, Yifan Gong, Bingsheng He, Jidong Zhai, Rui Mao

IEEE Trans. Parallel Distributed Syst., 2019

BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures.

Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He

Proceedings of the 2019 International Conference on Management of Data, 2019

Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows.

Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng

Proceedings of the 48th International Conference on Parallel Processing, 2019

Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture.

Shangyu Wu, Yi Wang, Amelie Chi Zhou, Rui Mao, Zili Shao, Tao Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

PATCH: Process-Variation-Resilient Space Allocation for Open-Channel SSD with 3D Flash.

Jing Chen, Yi Wang, Amelie Chi Zhou, Rui Mao, Tao Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Improving the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems with Eley.

Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim

Future Gener. Comput. Syst., 2018

Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters.

Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He

Proceedings of the 47th International Conference on Parallel Processing, 2018

Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds.

Jad Darrous, Shadi Ibrahim, Amelie Chi Zhou, Christian Pérez

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds.

Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau

IEEE Trans. Parallel Distributed Syst., 2017

Efficient process mapping in geo-distributed cloud data centers.

Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai

Proceedings of the International Conference for High Performance Computing, 2017

Multi-objective Optimizations in Geo-Distributed Data Analytics Systems.

Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Chiew Tong Lau

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors.

Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters.

Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Energy-Driven Straggler Mitigation in MapReduce.

Tien-Dat Phan, Shadi Ibrahim, Amelie Chi Zhou, Guillaume Aupy, Gabriel Antoniu

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems.

Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds.

Amelie Chi Zhou, Bingsheng He, Cheng Liu

IEEE Trans. Cloud Comput., 2016

2015

Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism.

Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou

IEEE Trans. Parallel Distributed Syst., 2015

Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution.

Yifan Gong, Bingsheng He, Amelie Chi Zhou

Proceedings of the International Conference for High Performance Computing, 2015

A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds.

Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

Transformation-Based Monetary CostOptimizations for Workflows in the Cloud.

Amelie Chi Zhou, Bingsheng He

IEEE Trans. Cloud Comput., 2014

A Taxonomy and Survey on eScience as a Service in the Cloud.

Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim

CoRR, 2014

Simplified Resource Provisioning for Workflows in IaaS Clouds.

Amelie Chi Zhou, Bingsheng He

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013

Probabilistic Scheduling of Scientific Workflows in Dynamic Cloud Environments.

Amelie Chi Zhou, Bingsheng He, Cheng Liu

CoRR, 2013