Papers & Theses
2024
Gemino: Practical and robust neural compression for video conferencing
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
NSDI 24
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella
NSDI 24
MLTCP: Congestion Control for DNN Training
Sudarsanan Rajasekaran, Sanjoli Narang, Anton A Zabreyko, Manya Ghobadi
arXiv
Practical Rateless Set Reconciliation
Lei Yang, Yossi Gilad, Mohammad Alizadeh
arXiv
2023
FactorJoin: a new cardinality estimation framework for join queries
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
ACM on Management of Data
Lightning: A reconfigurable photonic-electronic smartnic for fast and energy-efficient inference
Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk Englund, Manya Ghobadi
ACM SIGCOMM 2023
First Demonstration of Real-Time Photonic-Electronic DNN Acceleration on SmartNICs
Zhizhen Zhong, Mingran Yang, Jay Lang, Dirk Englund, Manya Ghobadi
ACM SIGCOMM 2023
Ekho: Synchronizing cloud gaming media across multiple endpoints
Pouya Hamadanian, Doug Gallatin, Mohammad Alizadeh, Krishna Chintalapudi
ACM SIGCOMM 2023
Tuneman: Customizing Networks to Guarantee Application Bandwidth and Latency
Sidharth Sharma, Aniruddha Kushwaha, Mohammad Alizadeh, George Varghese, Ashwin Gumaste
ACM Transactions on Internet Technology
Strategic Planning of Aerial Assets for Disaster Response: Enabling Efficient and Equitable Access to Drone-Based Search Resources
C Chin, A Saravanan, H Balakrishnan, A Andreeva-Mori
ATM 2023
Wavelength Multiplexed Photonic Edge Computing in the Output Stationary Frame
Ryan Hamerly, Alex Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk Englund
CLEO AT 2023
On-fiber photonic computing
Mingran Yang, Zhizhen Zhong, Manya Ghobadi
HotNets 2023
Infoshape: Task-based neural data shaping via mutual information
Homa Esfahanizadeh, William Wu, Manya Ghobadi, Regina Barzilay, Muriel Médard
ICASSP IEEE 2023
Unshackling Database Benchmarking from Synthetic Workloads
Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi
IEEE ICDE 2023
{TopoOpt}: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
Weiyang Wang, Moein Khazraee, Zhizhen Zhong, Manya Ghobadi, Zhihao Jia, Dheevatsa Mudigere, Ying Zhang, Anthony Kewitsch
NSDI 2023
{CausalSim}: A Causal Framework for Unbiased {Trace-Driven} Simulation
Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
NSDI 2023
{RECL}: Responsive {Resource-Efficient} continuous learning for video analytics
Mehrdad Khani, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
NSDI 2023
Protego: Overload Control for Applications with Unpredictable Lock Contention
Inho Cho, Ahmed Saeed, Seo Jin Park, Mohammad Alizadeh, Adam Belay
NSDI 2023
Scalable tail latency estimation for data center networks
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E Anderson
NSDI 2023
Counterfactual identifiability of bijective causal models
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
PMLR 2023
Robust query driven cardinality estimation under changing workloads
Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
VLDB Endowment
Drivetrack: A benchmark for long-range point tracking in real-world videos
Arjun Balasingam, Joseph Chandler, Chenning Li, Zhoutong Zhang, Hari Balakrishnan
arXiv
Bringing Reconfigurability to the Network Stack
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
arXiv
Optimized network architectures for large language model training with billions of parameters
Weiyang Wang, Manya Ghobadi, Kayvon Shakeri, Ying Zhang, Naader Hasani
arXiv
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels
Homa Esfahanizadeh, Adam Yala, Rafael GL D’Oliveira, Andrea JD Jaba, Victor Quach, Ken R Duffy, Tommi S Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard
arXiv
Bringing Reconfigurability to the Network Stack
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
arXiv
Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks
Pantea Karimi, Sadjad Fouladi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
arXiv
Reparo: Loss-Resilient Generative Codec for Video Conferencing
Tianhong Li, Vibhaalakshmi Sivaraman, Pantea Karimi, Lijie Fan, Mohammad Alizadeh, Dina Katabi
arXiv
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments
Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh
arXiv
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh
arXiv
2022
Longest chain consensus under bandwidth constraint
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh
AFT 2022
Poster: Coded broadcast for scalable leader-based bft consensus
Ioannis Kaklamanis, Lei Yang, Mohammad Alizadeh
CCS 2022
How reinforcement learning systems fail and what to do about it
Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen
EuroMLSys 2022
Congestion control in machine learning clusters
Sudarsanan Rajasekaran, Manya Ghobadi, Gautam Kumar, Aditya Akella
HotNets 2022
The case for an internet primitive for fault localization
William Sussman, Emily Marx, Venkat Arun, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Aurojit Panda, Scott Shenker
HotNets 2022
Performance trade-offs in reconfigurable networks for HPC
Min Yee Teh, Zhenguo Wu, Madeleine Glick, Sebastien Rumley, Manya Ghobadi, Keren Bergman
Journal of Optical Communications and Networking
Reinforcement learning in time-varying systems: An empirical study
Pouya Hamadanian
Massachusetts Institute of Technology
Efficient strong scaling through burst parallel training
Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay
MLSys 2022
{DispersedLedger}:{High-Throughput} byzantine consensus on variable bandwidth networks
Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse
NSDI 2022
Backpressure flow control
Prateesh Goyal, Preey Shah, Kevin Zhao, Georgios Nikolaidis, Mohammad Alizadeh, Thomas E. Anderson
NSDI 2022
WDM-Enabled Photonic Edge Computing
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk Englund
OECC 2022/PSC 2022
Emerging optical interconnects for AI systems
Manya Ghobadi
OFC 2022
Delocalized photonic deep learning on the internet’s edge
Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P Ben Dixon, Scott A Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr-Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk Englund
Science
ABM: Active buffer management in datacenters
Vamsi Addanki, Maria Apostolaki, Manya Ghobadi, Stefan Schmid, Laurent Vanbever
SIGCOMM 2022
Elasticity detection: A building block for internet congestion control
Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan
SIGCOMM 2022
Starvation in end-to-end congestion control
Venkat Arun, Mohammad Alizadeh, Hari Balakrishnan
SIGCOMM 2022
Using trio: juniper networks’ programmable chipset-for emerging in-network applications
Mingran Yang, Alex Baban, Valery Kugel, Jeff Libby, Scott Mackie, Swamy Sadashivaiah Renu Kananda, Chang-Hong Wu, Manya Ghobadi
SIGCOMM 2022
Lane-level street map extraction from aerial imagery
Songtao He, Hari Balakrishnan
WACV 2022
Coded transaction broadcasting for high-throughput blockchains
Lei Yang, Yossi Gilad, Mohammad Alizadeh
arXiv
Demystifying Reinforcement Learning in Time-Varying Systems
Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh
arXiv
Optimal Congestion Control for Time-varying Wireless Links
Prateesh Goyal, Mohammad Alizadeh, Thomas E Anderson
arXiv
Topoopt: Optimizing the network topology for distributed dnn training
Weiyang Wang, Moein Khazraee, Zhizhen Zhong, Zhijao Jia, Dheevatsa Mudigere, Ying Zhang, Anthony Kewitsch, Manya Ghobadi
arXiv
Wavelength multiplexed ultralow-power photonic edge computing
Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Darius Bunandar, Matthew Streshinsky, Ari Novack, Tom Baehr-Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk Englund
arXiv
2021
Cerberus: The power of choices in datacenter topology design-a throughput perspective
Chen Griner, Johannes Zerwas, Andreas Blenk, Manya Ghobadi, Stefan Schmid, Chen Avin
ACM on Measurement and Analysis of Computing Systems
Revitalizing the public internet by making it extensible
Hari Balakrishnan, Sujata Banerjee, Israel Cidon, David Culler, Deborah Estrin, Ethan Katz-Bassett, Arvind Krishnamurthy, Murphy McCauley, Nick McKeown, Aurojit Panda, Sylvia Ratnasamy, Jennifer Rexford, Michael Schapira, Scott Shenker, Ion Stoica, David Tennenhouse, Amin Vahdat, Ellen Zegura
ACM SIGCOMM Computer Communication Review
Inferring and improving street maps with data-driven automation
Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
Communications of the ACM
Toward a marketplace for aerial computing
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
Dronet 2021
Edge computing with optical neural networks via WDM weight broadcasting
Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Liane Bernstein, Zaijun Chen, Manya Ghobadi, Dirk Englund
ETAI 2021
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories
Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden
IEEE/CVF 2021
Efficient video compression via content-adaptive super-resolution
Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
IEEE/CVF 2021
Real-time video inference on edge devices via adaptive model streaming
Mehrdad Khani, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh
IEEE/CVF 2021
In-network aggregation for shared machine learning clusters
Nadeen Gebara, Manya Ghobadi, Paolo Costa
MLSys 2021
Throughput-fairness tradeoffs in mobility platforms
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
MobiSys 2021
Throughput-fairness tradeoffs in mobility platforms
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
MobiSys 2021
A Social Network Under Social Distancing:{Risk-Driven} Backbone Management During {COVID-19} and Beyond
Yiting Xia, Ying Zhang, Zhizhen Zhong, Guanqing Yan, Chiun Lin Lim, Satyajeet Singh Ahuja, Soshant Bali, Alexander Nikolaidis, Kimia Ghobadi, Manya Ghobadi
NSDI 2021
Breaking the {Transience-Equilibrium} nexus: A new approach to datacenter packet transport
Shiyu Liu, Ahmad Ghalayini, Mohammad Alizadeh, Balaji Prabhakar, Mendel Rosenblum, Anirudh Sivaraman
NSDI 2021
BOW: First Real-World Demonstration of a Firewall-based Bayesian Optimization System for Wavelength Deployment
Zhizhen Zhong, Manya Ghobadi, Maximilian Balandat, Sanjeevkumar Katti, Abbas Kazerouni, Jonathan Leach, Mark McKillop, Ying Zhang
OFC 2021
BOW: first real-world demonstration of a Bayesian optimization system for wavelength reconfiguration
Zhizhen Zhong, Manya Ghobadi, Maximilian Balandat, Sanjeevkumar Katti, Abbas Kazerouni, Jonathan Leach, Mark McKillop, Ying Zhang
OFC 2021
The effect of network topology on credit network throughput
Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh
Performance Evaluation
Toward formally verifying congestion control behavior
Venkat Arun, Mina Tahmasbi Arashloo, Ahmed Saeed, Mohammad Alizadeh, Hari Balakrishnan
SIGCOMM 2021
IOI: In-network optical inference
Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk Englund
SIGCOMM 2021
Are WANs ready for optical topology programming?
Matthew Nance Hall, Paul Barford, Klaus-Tycho Foerster, Manya Ghobadi, William Jensen, Ramakrishnan Durairajan
SIGCOMM 2021
ARROW: restoration-aware traffic engineering
Zhizhen Zhong, Manya Ghobadi, Alaa Khaddaj, Jonathan Leach, Yiting Xia, Ying Zhang
Proceedings of the 2021 ACM SIGCOMM 2021 Conference
SIGCOMM 2021
SiP-ML: high-bandwidth optical network interconnects for machine learning training
Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
SIGCOMM 2021
Steering query optimizers: A practical take on big data workloads
Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal
SIGMOD 2021
Bao: Making learned query optimization practical
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
SIGMOD 2021
Updating street maps using changes detected in satellite imagery
Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
SIGPATIAL 2021
Site-to-site internet traffic control
Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan
EuroSys 2021
TagMe: GPS-Assisted Automatic Object Annotation in Videos
Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael Cafarella, Tim Kraska, Sam Madden
ArXiv
Neuracrypt: Hiding private health data via random neural networks for public training
Adam Yala, Homa Esfahanizadeh, Rafael GL D’ Oliveira, Ken R Duffy, Manya Ghobadi, Tommi S Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Medard
arXiv
FB: A flexible buffer management scheme for data center switches
Maria Apostolaki, Vamsi Addanki, Manya Ghobadi, Laurent Vanbever
arXiv
SWP: microsecond network slos without priorities
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E Anderson
arXiv
Flow-loss: Learning cardinality estimates that matter
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
arXiv
Sagedb: A learned database system
Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H Chi, Jialin Ding, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
Publication?
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint.
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh
IACR Cryptol. ePrint Arch.
LINK?
2020
Roadtagger: Robust road attribute inference with graph neural networks
Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi
AAAI 2020
Sat2graph: Road graph extraction through graph-tensor encoding
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M Elshrif, Samuel Madden, Mohammad Amin Sadeghi
ECCV 2020
Bertha: Tunneling through the network api
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
HotNets 2020
Challenging the stateless quo of programmable switches
Nadeen Gebara, Alberto Lerner, Mingran Yang, Minlan Yu, Paolo Costa, Manya Ghobadi
HotNets 2020
Exploiting channel locality for adaptive massive mimo signal detection
Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
ICASSP IEEE 2020
Tradeoffs between efficiency and fairness in unmanned aircraft systems traffic management
Christopher Chin, Karthik Gopalakrishnan, A Evans, Maxim Egorov, H Balakrishnan
ICRAT 2020
Cost-guided cardinality estimation: Focus where it matters
Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
IEEE ICDEW 2020
Adaptive neural signal detection for massive MIMO
Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
IEEE Transactions on Wireless Communications
Learned garbage collection
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
MAPL 2020
Beecluster: drone orchestration via predictive optimization
Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishna, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael Cafarella, Tim Kraska, Sam Madden
MobiSys 2020
Neural large neighborhood search
Vinod Nair, Mohammad Alizadeh
NeurIPS 2020
{ABC}: A simple explicit congestion controller for wireless networks
Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan
NSDI 2020
{RFocus}: Beamforming using thousands of passive antennas
Venkat Arun, Hari Balakrishnan
NSDI 2020
Enabling Programmable Transport Protocols in {High-Speed}{NICs}
Mina Tahmasbi Arashloo, Alexey Lavrov, Manya Ghobadi, Jennifer Rexford, David Walker, David Wentzlaff
NSDI 2020
High throughput cryptocurrency routing in payment channel networks
Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Kathleen Ruan, Parimarjan Negi, Lei Yang, Radhika Mittal, Giulia Fanti, Mohammad Alizadeh
NSDI 2020
Overload control for {µs-scale}{RPCs} with breakwater
Inho Cho, Ahmed Saeed, Joshua Fried, Seo Jin Park, Mohammad Alizadeh, Adam Belay
OSDI 2020
On the Complexity of Traffic Traces and Implications
Manya Ghobadi
ACM on Measurement and Analysis of Computing Systems
Annulus: A dual congestion control loop for datacenter and wan traffic aggregates
Ahmed Saeed, Varun Gupta, Prateesh Goyal, Milad Sharif, Rong Pan, Mostafa Ammar, Ellen Zegura, Keon Jang, Mohammad Alizadeh, Abdul Kabbani, Amin Vahdat
SIGCOMM 2020
Learning multi-dimensional indexes
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
SIGMOD 2020
Miris: Fast object track queries in video
Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael Cafarella, Tim Kraska, Sam Madden
SIGMOD 2020
Miris: Fast object track queries in video
Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael Cafarella, Tim Kraska, Sam Madden
SIGMOD 2020
OptFlow: A Flow-based Abstraction for Programmable Topologies
Manya Ghobadi
SOSR 2020
Cortex: Harnessing correlations to boost query performance
Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh
ArXiv
Real-world video adaptation with reinforcement learning
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
arXiv
SonicPACT: An ultrasonic ranging method for the private automated contact tracing (PACT) protocol
John Meklenburg, Michael Specter, Michael Wentz, Hari Balakrishnan, Anantha Chandrakasan, John Cohn, Gary Hatke, Louise Ivers, Ronald Rivest, Gerald Jay Sussman, Daniel Weitzner
ArXiv
Tsunami: A learned multi-dimensional index for correlated data and skewed workloads
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
arXiv
Terarack: A tbps rack for machine learning training
Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
Publication???
Link???