Mosharaf Chowdhury

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 92

Top Venues

Publications

Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai
FedTrans: Efficient Federated Learning via Multi-Model Transformation. CoRR (2024)
Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand P. Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury
Vulcan: Automatic Query Planning for Live ML Analytics. NSDI (2024)
Yuhong Zhong, Daniel S. Berger, Carl A. Waldspurger, Ryan Wee, Ishwar Agarwal, Rajat Agarwal, Frank Hady, Karthik Kumar, Mark D. Hill, Mosharaf Chowdhury, Asaf Cidon
Managing Memory Tiers with CXL in Virtualized Environments. OSDI (2024)
Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai
FedTrans: Efficient Federated Learning via Multi-Model Transformation. MLSys (2024)
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Jiachen Liu, Zhiyu Wu, Jae-Won Chung, Fan Lai, Myungjin Lee, Mosharaf Chowdhury
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. CoRR (2024)
Sheng Qi, Chao Jin, Mosharaf Chowdhury, Zhenming Liu, Xuanzhe Liu, Xin Jin
Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Jae-Won Chung, Mosharaf Chowdhury
Toward Cross-Layer Energy Optimizations in Machine Learning Systems. CoRR (2024)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024)
Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger
Memtrade: Marketplace for Disaggregated Memory Clouds. SIGMETRICS (Abstracts) (2023)
Ewen Wang, Boyi Chen, Mosharaf Chowdhury, Ajay Kannan, Franco Liang
FLINT: A Platform for Federated Learning Integration. MLSys (2023)
Yiming Qiu, Patrick Tser Jern Kon, Jiarong Xing, Yibo Huang, Hongyi Liu, Xinyu Wang, Peng Huang, Mosharaf Chowdhury, Ang Chen
Simplifying Cloud Management with Cloudless Computing. HotNets (2023)
Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, Zeliang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI (2023)
Hasan Al Maruf, Mosharaf Chowdhury
Memory Disaggregation: Advances and Open Challenges. CoRR (2023)
Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. CoRR (2023)
Jie You, Jae-Won Chung, Mosharaf Chowdhury
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. NSDI (2023)
Ewen Wang, Ajay Kannan, Yuefeng Liang, Boyi Chen, Mosharaf Chowdhury
FLINT: A Platform for Federated Learning Integration. CoRR (2023)
Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. EuroSys (2023)
Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury
ModelKeeper: Accelerating DNN Training via Automated Training Warmup. NSDI (2023)
Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. SOSP (2023)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. CoRR (2023)
Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan
TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory. ASPLOS (3) (2023)
Zhenning Yang, Luoxi Meng, Jae-Won Chung, Mosharaf Chowdhury
Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training. CoRR (2023)
Hasan Al Maruf, Mosharaf Chowdhury
Memory Disaggregation: Advances and Open Challenges. ACM SIGOPS Oper. Syst. Rev. 57 (1) (2023)
Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury
Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. DistributedML@CoNEXT (2023)
Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury
Venn: Resource Management Across Federated Learning Jobs. CoRR (2023)
Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC (2023)
Jae-Won Chung, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, Mosharaf Chowdhury
Perseus: Removing Energy Bloat from Large Model Training. CoRR (2023)
Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger
Memtrade: Marketplace for Disaggregated Memory Clouds. Proc. ACM Meas. Anal. Comput. Syst. 7 (2) (2023)
Yiwen Zhang, Gautam Kumar, Nandita Dukkipati, Xian Wu, Priyaranjan Jha, Mosharaf Chowdhury, Amin Vahdat
Aequitas: admission control for performance-critical RPCs in datacenters. SIGCOMM (2022)
Prakash C. Das, Shivangi Srivastava, Valentin Moskovich, Anmol Chaturvedi, Anant Mittal, Yongqin Xiao, Mosharaf Chowdhury
CDI-E: An Elastic Cloud Service for Data Engineering. Proc. VLDB Endow. 15 (12) (2022)
Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang
Packing Privacy Budget Efficiently. CoRR (2022)
Yiwen Zhang, Yue Tan, Brent E. Stephens, Mosharaf Chowdhury
Justitia: Software Multi-Tenancy in Hardware Kernel-Bypass Networks. NSDI (2022)
Thomas E. Anderson, Adam Belay, Mosharaf Chowdhury, Asaf Cidon, Irene Zhang
Treehouse: A Case For Carbon-Aware Datacenter Software. CoRR (2022)
Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. CoRR (2022)
Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. CoRR (2022)
Jie You, Jae-Won Chung, Mosharaf Chowdhury
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. CoRR (2022)
Peifeng Yu, Yuqing Qiu, Xin Jin, Mosharaf Chowdhury
Orloj: Predictably Serving Unpredictable DNNs. CoRR (2022)
Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML (2022)
Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury
Efficient DNN Training with Knowledge-Guided Layer Freezing. CoRR (2022)
Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Aditya Akella
Elastic Model Aggregation with Parameter Service. CoRR (2022)
Youngmoon Lee, Hasan Al Maruf, Mosharaf Chowdhury, Asaf Cidon, Kang G. Shin
Hydra : Resilient and Highly Available Remote Memory. FAST (2022)
Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan
TPP: Transparent Page Placement for CXL-Enabled Tiered Memory. CoRR (2022)
Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury
FedScale: Benchmarking Model and System Performance of Federated Learning. CoRR (2021)
Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
Oort: Efficient Federated Learning via Guided Participant Selection. OSDI (2021)
Zhuolong Yu, Chuheng Hu, Jingfeng Wu, Xiao Sun, Vladimir Braverman, Mosharaf Chowdhury, Zhenhua Liu, Xin Jin
Programmable packet scheduling with a single queue. SIGCOMM (2021)
Peifeng Yu, Jiachen Liu, Mosharaf Chowdhury
Fluid: Resource-aware Hyperparameter Tuning Engine. MLSys (2021)
Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye
The Internet of Federated Things (IoFT). IEEE Access 9 (2021)
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR (2021)
Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR (2021)
Jie You, Jingfeng Wu, Xin Jin, Mosharaf Chowdhury
Ship Compute or Ship Data? Why Not Both? NSDI (2021)
Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
FedScale: Benchmarking Model and System Performance of Federated Learning. ResilientFL (2021)
Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger
Memtrade: A Disaggregated-Memory Marketplace for Public Clouds. CoRR (2021)
Hasan Al Maruf, Mosharaf Chowdhury
Effectively Prefetching Remote Memory with Leap. USENIX Annual Technical Conference (2020)
Zhuolong Yu, Yiwen Zhang, Vladimir Braverman, Mosharaf Chowdhury, Xin Jin
NetLock: Fast, Centralized Lock Management Using Programmable Switches. SIGCOMM (2020)
Vibhuti Gupta, Thomas M. Braun, Mosharaf Chowdhury, Muneesh Tewari, Sung Won Choi
A Systematic Review of Machine Learning Techniques in Hematopoietic Stem Cell Transplantation (HSCT). Sensors 20 (21) (2020)
Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
Sol: Fast Distributed Computation Over Slow Networks. NSDI (2020)
Muhammed Uluyol, Anthony Huang, Ayush Goel, Mosharaf Chowdhury, Harsha V. Madhyastha
Near-Optimal Latency Versus Cost Tradeoffs in Geo-Distributed Storage. NSDI (2020)
Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
Oort: Informed Participant Selection for Scalable Federated Learning. CoRR (2020)
Peifeng Yu, Mosharaf Chowdhury
Fine-Grained GPU Sharing Primitives for Deep Learning Applications. MLSys (2020)
Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu
AlloX: compute allocation in hybrid clusters. EuroSys (2020)
Mosharaf Chowdhury, Samir Khuller, Manish Purohit, Sheng Yang, Jie You
Near Optimal Coflow Scheduling in Networks. CoRR (2019)
Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Harry Liu, Chuanxiong Guo
Tiresias: A GPU Cluster Manager for Distributed Deep Learning. NSDI (2019)
Mosharaf Chowdhury, Samir Khuller, Manish Purohit, Sheng Yang, Jie You
Near Optimal Coflow Scheduling in Networks. SPAA (2019)
Yiwen Zhang, Yue Tan, Brent E. Stephens, Mosharaf Chowdhury
RDMA Performance Isolation With Justitia. CoRR (2019)
Hasan Al Maruf, Mosharaf Chowdhury
Effectively Prefetching Remote Memory with Leap. CoRR (2019)
Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters. CoRR (2019)
Youngmoon Lee, Hassan Al Maruf, Mosharaf Chowdhury, Kang G. Shin
Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation. CoRR (2019)
Peifeng Yu, Mosharaf Chowdhury
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications. CoRR (2019)
Jie You, Mosharaf Chowdhury
Terra: Scalable Cross-Layer GDA Optimizations. CoRR (2019)
Xiao Sun, Tan N. Le, Mosharaf Chowdhury, Zhenhua Liu
Fair Allocation of Heterogeneous and InterchangeableResources. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Hong Zhang, Kai Chen, Mosharaf Chowdhury
Pas de deux: Shape the Circuits, and Shape the Apps too! APNet (2018)
Fan Lai, Mosharaf Chowdhury, Harsha V. Madhyastha
To Relay or Not to Relay for Inter-Cloud Transfers? HotCloud (2018)
Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu
AlloX: Allocation across Computing Resources for Hybrid CPU/GPU clusters. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Kshiteej Mahajan, Mosharaf Chowdhury, Aditya Akella, Shuchi Chawla
Dynamic Query Re-Planning using QOOP. OSDI (2018)
Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Dong Young Yoon, Mosharaf Chowdhury, Barzan Mozafari
Distributed Lock Management with RDMA: Decentralization without Starvation. SIGMOD Conference (2018)
Anand Padmanabha Iyer, Aurojit Panda, Shivaram Venkataraman, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica
Bridging the GAP: towards approximate graph analytics. GRADES/NDA@SIGMOD/PODS (2018)
Anand Padmanabha Iyer, Aurojit Panda, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica
Monarch: Gaining Command on Geo-Distributed Graph Analytics. HotCloud (2018)
Anand Padmanabha Iyer, Li Erran Li, Mosharaf Chowdhury, Ion Stoica
Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems. MobiCom (2018)
Linh Nguyen, Peifeng Yu, Mosharaf Chowdhury
No!: Not Another Deep Learning Framework. HotOS (2017)
Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Mosharaf Chowdhury
Resilient Datacenter Load Balancing in the Wild. SIGCOMM (2017)
Yiwen Zhang, Juncheng Gu, Youngmoon Lee, Mosharaf Chowdhury, Kang G. Shin
Performance Isolation Anomalies in RDMA. KBNets@SIGCOMM (2017)
Juncheng Gu, Youngmoon Lee, Yiwen Zhang, Mosharaf Chowdhury, Kang G. Shin
Decentralized Memory Disaggregation Over Low-Latency Networks. login Usenix Mag. 42 (4) (2017)
Juncheng Gu, Youngmoon Lee, Yiwen Zhang, Mosharaf Chowdhury, Kang G. Shin
Efficient Memory Disaggregation with Infiniswap. NSDI (2017)
Hong Zhang, Li Chen, Bairen Yi, Kai Chen, Mosharaf Chowdhury, Yanhui Geng
CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark. SIGCOMM (2016)
K. V. Rashmi, Mosharaf Chowdhury, Jack Kosaian, Ion Stoica, Kannan Ramchandran
EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding. OSDI (2016)
Anand Padmanabha Iyer, Ion Stoica, Mosharaf Chowdhury, Li Erran Li
Fast and Accurate Performance Analysis of LTE Radio Access Networks. CoRR (2016)
Mosharaf Chowdhury, Zhenhua Liu, Ali Ghodsi, Ion Stoica
HUG: Multi-Resource Fairness for Correlated and Elastic Demands. NSDI (2016)
Robert Grandl, Mosharaf Chowdhury, Aditya Akella, Ganesh Ananthanarayanan
Altruistic Scheduling in Multi-Resource Clusters. OSDI (2016)
Mosharaf Chowdhury, Ion Stoica
Efficient Coflow Scheduling Without Prior Knowledge. Computer Communication Review (2015)
Mosharaf Chowdhury, Ion Stoica
Efficient Coflow Scheduling Without Prior Knowledge. SIGCOMM (2015)
Mosharaf Chowdhury, Yuan Zhong, Ion Stoica
Efficient coflow scheduling with Varys. SIGCOMM (2014)
Fady Samuel, Mosharaf Chowdhury, Raouf Boutaba
PolyViNE: policy-based virtual network embedding across multiple domains. J. Internet Serv. Appl. 4 (1) (2013)
Mosharaf Chowdhury, Srikanth Kandula, Ion Stoica
Leveraging endpoint flexibility in data-intensive clusters. SIGCOMM (2013)
Mosharaf Chowdhury, Ion Stoica
Coflow: a networking abstraction for cluster applications. HotNets (2012)
Peter Bodík, Ishai Menache, Mosharaf Chowdhury, Pradeepkumar Mani, David A. Maltz, Ion Stoica
Surviving failures in bandwidth-constrained datacenters. SIGCOMM (2012)
Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, James Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica
Fast and Interactive Analytics over Hadoop Data with Spark. login Usenix Mag. 37 (4) (2012)
Gautam Kumar, Mosharaf Chowdhury, Sylvia Ratnasamy, Ion Stoica
A Case for Performance-Centric Network Allocation. HotCloud (2012)
Mosharaf Chowdhury, Muntasir Raihan Rahman, Raouf Boutaba
ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping. IEEE/ACM Trans. Netw. 20 (1) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mosharaf Chowdhury