Amelie Chi Zhou

Orcid: 0000-0002-9773-9332

According to our database1, Amelie Chi Zhou authored at least 36 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Towards Efficient and Reliable LLM Serving: A Real-World Workload Study.
CoRR, 2024

2023
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining.
CoRR, 2023

Low-Latency Video Conferencing System for Geo-Distributed Data Centers.
CoRR, 2023

DyVer: Dynamic Version Handling for Array Databases.
Proceedings of the 37th International Conference on Supercomputing, 2023

2022
Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach.
IEEE Trans. Parallel Distributed Syst., 2022

FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market.
IEEE Trans. Parallel Distributed Syst., 2022

Privacy-preserving workflow scheduling in geo-distributed data centers.
Future Gener. Comput. Syst., 2022

Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers.
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.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021
An Efficient Parallel Secure Machine Learning Framework on GPUs.
IEEE Trans. Parallel Distributed Syst., 2021

2020
Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters.
IEEE Trans. Parallel Distributed Syst., 2020

ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019
Big Data and Exascale Computing.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers.
IEEE Trans. Parallel Distributed Syst., 2019

BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures.
Proceedings of the 2019 International Conference on Management of Data, 2019

Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

PATCH: Process-Variation-Resilient Space Allocation for Open-Channel SSD with 3D Flash.
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.
Future Gener. Comput. Syst., 2018

Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds.
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.
IEEE Trans. Parallel Distributed Syst., 2017

Efficient process mapping in geo-distributed cloud data centers.
Proceedings of the International Conference for High Performance Computing, 2017

Multi-objective Optimizations in Geo-Distributed Data Analytics Systems.
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.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Energy-Driven Straggler Mitigation in MapReduce.
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.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds.
IEEE Trans. Cloud Comput., 2016

2015
Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism.
IEEE Trans. Parallel Distributed Syst., 2015

Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution.
Proceedings of the International Conference for High Performance Computing, 2015

A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds.
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014
Transformation-Based Monetary CostOptimizations for Workflows in the Cloud.
IEEE Trans. Cloud Comput., 2014

A Taxonomy and Survey on eScience as a Service in the Cloud.
CoRR, 2014

Simplified Resource Provisioning for Workflows in IaaS Clouds.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013
Probabilistic Scheduling of Scientific Workflows in Dynamic Cloud Environments.
CoRR, 2013


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