Feng Yan

Seyed Mahmoud Sajjadi Mohammadabadi

Junshan Zhang

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Noctua: Towards Automated and Practical Fine-grained Consistency Analysis.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

CSCO: Connectivity Search of Convolutional Operators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AI augmented Edge and Fog computing: Trends and challenges.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., July, 2023

InfiniStore: Elastic Serverless Cloud Storage.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach.

[BibT_eX]

[DOI]

Lei Yang

CoRR, 2023

DistDNAS: Search Efficient Feature Interactions within 2 Hours.

[BibT_eX]

[DOI]

CoRR, 2023

Farthest Greedy Path Sampling for Two-shot Recommender Search.

[BibT_eX]

[DOI]

CoRR, 2023

ZeRO++: Extremely Efficient Collective Communication for Giant Model Training.

[BibT_eX]

[DOI]

CoRR, 2023

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

: Joint Point Interaction-Dimension Search for 3D Point Cloud.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

DySR: Adaptive Super-Resolution via Algorithm and System Co-design.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2023

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2022

Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Optimizing Inference Serving on Serverless Platforms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2022

Sion: Elastic Serverless Cloud Storage.

[BibT_eX]

[DOI]

CoRR, 2022

BiFeat: Supercharge GNN Training via Graph Feature Quantization.

[BibT_eX]

[DOI]

CoRR, 2022

SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training.

[BibT_eX]

[DOI]

CoRR, 2022

Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays.

[BibT_eX]

[DOI]

Olamide Timothy Tawose

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Heterogeneity-Aware Adaptive Federated Learning Scheduling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

TIFF: Tokenized Incentive for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

Systems Bias in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Straggler Management.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Local Training and Scalability of Federated Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

Introduction to Federated Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

2021

CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX.

[BibT_eX]

[DOI]

CoRR, 2021

Gradient Compression Supercharged High-Performance Data Parallel DNN Training.

[BibT_eX]

[DOI]

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.

[BibT_eX]

[DOI]

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Lunule: an agile and judicious metadata load balancer for CephFS.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems.

[BibT_eX]

[DOI]

Abdullah Al-Mamun

Md Kamran Chowdhury Shisher

Proceedings of the International Conference for High Performance Computing, 2021

X-composer: enabling cross-environments in-situ workflows between HPC and cloud.

[BibT_eX]

[DOI]

Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Age of Correlated Features in Supervised Learning based Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing.

[BibT_eX]

[DOI]

Abdullah Al-Mamun

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning.

[BibT_eX]

[DOI]

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations.

[BibT_eX]

[DOI]

CoRR, 2020

NASGEM: Neural Architecture Search via Graph Embedding Method.

[BibT_eX]

[DOI]

CoRR, 2020

Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions.

[BibT_eX]

[DOI]

Xinying Wang

Olamide Timothy Tawose

CoRR, 2020

BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2020

Batch: machine learning inference serving on serverless platforms with adaptive batching.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2020

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

TiFL: A Tier-based Federated Learning System.

[BibT_eX]

[DOI]

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache.

[BibT_eX]

[DOI]

Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis.

[BibT_eX]

[DOI]

Xinying Wang

Olamide Timothy Tawose

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

EPNAS: Efficient Progressive Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.

[BibT_eX]

[DOI]

CoRR, 2019

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks.

[BibT_eX]

[DOI]

Wei Wen

Hai Helen Li

CoRR, 2019

BlockLite: A Lightweight Emulator for Public Blockchains.

[BibT_eX]

[DOI]

CoRR, 2019

MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving.

[BibT_eX]

[DOI]

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Swift machine learning model serving scheduling: a region based reinforcement learning approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2019

It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds.

[BibT_eX]

[DOI]

Proceedings of the 20th International Middleware Conference Industrial Track, 2019

MSNet: Structural Wired Neural Architecture Search for Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

GRNN: Low-Latency and Scalable RNN Inference on GPUs.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing - CLOUD 2019, 2019

Towards Decentralized Deep Learning with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing - CLOUD 2019, 2019

2018

Efficient Deep Neural Network Serving: Fast and Furious.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2018

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Differentiable Fine-grained Quantization for Deep Neural Network Compression.

[BibT_eX]

[DOI]

CoRR, 2018

SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2017

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

HyperDrive: exploring hyperparameters with POP scheduling.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017

How to Supercharge the Amazon T2: Observations and Suggestions.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

PREFiguRE: An Analytic Framework for HDD Management.

[BibT_eX]

[DOI]

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Scheduling data analytics work with performance guarantees: queuing and machine learning models in synergy.

[BibT_eX]

[DOI]

Clust. Comput., 2016

SERF: efficient scheduling for fast deep neural network serving via judicious parallelism.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2016

Workload interleaving with performance guarantees in data centers.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

2015

PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Proactive Management of Systems via Hybrid Analytic Techniques.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Cloud and Autonomic Computing, 2015

PRACTISE: Robust prediction of data center time series.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Network and Service Management, 2015

2014

Agile middleware for scheduling: meeting competing performance requirements of diverse tasks.

[BibT_eX]

[DOI]

Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

Heterogeneous cores for MapReduce processing: Opportunity or challenge?

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014

Storage Workload Isolation via Tier Warming: How Models Can Help.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Autonomic Computing, 2014

Optimizing Power and Performance Trade-offs of MapReduce Job Processing with Heterogeneous Multi-core Processors.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

Overcoming Limitations of Off-the-Shelf Priority Schedulers in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

2012

Busy bee: how to use traffic information for better scheduling of background tasks.

[BibT_eX]

[DOI]

Alma Riska

Proceedings of the Third Joint WOSP/SIPEW International Conference on Performance Engineering, 2012

Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings.

[BibT_eX]

[DOI]

Xenia Mountrouidou

Proceedings of the 2012 Workshop on Power-Aware Computing Systems, HotPower'12, 2012

Fast Eventual Consistency with Performance Guarantees for Distributed Storage.

[BibT_eX]

[DOI]

Alma Riska

Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCS 2012 Workshops), 2012

Toward fast eventual consistency with performance guarantees.

[BibT_eX]

[DOI]

Alma Riska