Aditya Akella

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All published works

Action	Title	Year	Authors
+ PDF Chat	ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments	2025	Rohit Dwivedula Sadanand Modak Aditya Akella Joydeep Biswas Daehyeok Kim Christopher J. Rossbach
+ PDF Chat	OMEGA: A Low-Latency GNN Serving System for Large Graphs	2025	Geon-Woo Kim Donghyun Kim Jeongyoon Moon Henry Liu Tarannum Khan Anand Iyer Daehyeok Kim Aditya Akella
+ PDF Chat	SYMPHONY: Improving Memory Management for LLM Inference Workloads	2024	Saurabh Agarwal Anyong Mao Aditya Akella Shivaram Venkataraman
+ PDF Chat	TrainMover: Efficient ML Training Live Migration with No Memory Overhead	2024	ChonLam Lao Mingchuan Yu Aditya Akella Jiamin Cao Yu Guan Pengcheng Zhang Zhilong Zheng Yichi Xu Ennan Zhai Dennis Cai
+ PDF Chat	C3: Learning Congestion Controllers with Formal Certificates	2024	Chenxi Yang Divyanshu Saxena Rohit Dwivedula Kshiteej Mahajan Swarat Chaudhuri Aditya Akella
+ PDF Chat	Do Data Center Network Metrics Predict Application-Facing Performance?	2024	Brian Chang Jeffrey C. Mogul Rui Wang Mingyang Zhang Aditya Akella
+ PDF Chat	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design	2024	Ruisi Cai Yeonju Ro Gene Uhc Kim Peihao Wang Babak Ehteshami Bejnordi Aditya Akella Shuicheng Yan
+ PDF Chat	CONGO: Compressive Online Gradient Optimization with Application to Microservices Management	2024	Jeremy Carleton Prathik Vijaykumar Divyanshu Saxena Dheeraj Narasimha Srinivas Shakkottai Aditya Akella
+ PDF Chat	HawkVision: Low-Latency Modeless Edge AI Serving	2024	ChonLam Lao Jiaqi Gao Ganesh Ananthanarayanan Aditya Akella Minlan Yu
+ PDF Chat	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping	2024	Ajay Jaiswal Bodun Hu Lu Yin Yeonju Ro Shiwei Liu Tianlong Chen Aditya Akella
+ PDF Chat	Accelerating Distributed Deep Learning using Lossless Homomorphic Compression	2024	Haoyu Li Yuchen Xu Jiayi Chen Rohit Dwivedula Wenfei Wu Keqiang He Aditya Akella Daehyeok Kim
+ PDF Chat	ChainedFilter: Combining Membership Filters by Chain Rule	2023	Haoyu Li Liuhui Wang Qizhi Chen Jianan Ji Yuhan Wu Yikai Zhao Tong Yang Aditya Akella
+ PDF Chat	Auxo	2023	Jiachen Liu Fan Lai Yinwei Dai Aditya Akella Harsha V. Madhyastha Mosharaf Chowdhury
+	Quantitative Verification of Scheduling Heuristics	2023	Saksham Goel Benjamin Mikek Jehad Aly Venkat Arun Ahmed Saeed Aditya Akella
+	SFC: Near-Source Congestion Signaling and Flow Control	2023	Yanfang Le Jeongkeun Lee Jeremias Blendin Jiayi Chen Georgios Nikolaidis Rong Pan Robert Soulé Aditya Akella Pedro Yébenes Arjun singhvi
+	Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing	2023	Le Xu Divyanshu Saxena Neeraja J. Yadwadkar Aditya Akella Indranil Gupta
+	CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters	2023	Sudarsanan Rajasekaran Manya Ghobadi Aditya Akella
+	ChainedFilter: Combining Membership Filters by Chain Rule	2023	Haoyu Li Liuhui Wang Qizhi Chen Jianan Ji Yuhan Wu Yikai Zhao Tong Yang Aditya Akella
+	MOSEL: Inference Serving Using Dynamic Modality Selection	2023	Bodun Hu Le Xu Jeongyoon Moon Neeraja J. Yadwadkar Aditya Akella
+	On a Foundation Model for Operating Systems	2023	Divyanshu Saxena Nihal Sharma Donghyun Kim Rohit Dwivedula Jiayi Chen Chenxi Yang Sriram Ravula Zichao Hu Aditya Akella Sebastian Angel
+ PDF Chat	Impact of RoCE Congestion Control Policies on Distributed Training of DNNs	2022	Tarannum Khan Saeed Rashidi Srinivas Sridharan Pallavi Shurpali Aditya Akella Tushar Krishna
+	Elastic Model Aggregation with Parameter Service	2022	Juncheng Gu Mosharaf Chowdhury Kang G. Shin Aditya Akella
+	Impact of RoCE Congestion Control Policies on Distributed Training of DNNs	2022	Tarannum Khan Saeed Rashidi Srinivas Sridharan Pallavi Shurpali Aditya Akella Tushar Krishna
+	Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning	2022	Pengfei Zheng Rui Pan Tarannum Khan Shivaram Venkataraman Aditya Akella
+	Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters.	2021	Adarsh Kumar Kausik Subramanian Shivaram Venkataraman Aditya Akella
+	PL2: Towards Predictable Low Latency in Rack-Scale Networks	2021	Yanfang Le Radhika Niranjan Mysore Lalith Suresh Gerd Zellweger Sujata Banerjee Aditya Akella Michael M. Swift
+	Accelerating Deep Learning Inference via Learned Caches	2021	Arjun Balasubramanian Adarsh Kumar Yuhan Liu Han Cao Shivaram Venkataraman Aditya Akella
+	Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters	2021	Adarsh Kumar Kausik Subramanian Shivaram Venkataraman Aditya Akella
+	Themis: Fair and Efficient {GPU} Cluster Scheduling	2020	Kshiteej Mahajan Arjun Balasubramanian Arjun Singhvi Shivaram Venkataraman Aditya Akella Amar Phanishayee Shuchi Chawla
+	Accelerating Deep Learning Inference via Freezing	2020	Adarsh Kumar Arjun Balasubramanian Shivaram Venkataraman Aditya Akella
+	Accelerating Deep Learning Inference via Freezing	2020	Adarsh Kumar Arjun Balasubramanian Shivaram Venkataraman Aditya Akella
+	Archipelago: A Scalable Low-Latency Serverless Platform	2019	Arjun Singhvi Kevin Houck Arjun Balasubramanian Mohammed Danish Shaikh Shivaram Venkataraman Aditya Akella
+	Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads	2019	Kshiteej Mahajan Arjun Singhvi Arjun Balasubramanian Varun Batra Surya Teja Chavali Shivaram Venkataraman Aditya Akella Amar Phanishayee Shuchi Chawla
+	Themis: Fair and Efficient GPU Cluster Scheduling	2019	Kshiteej Mahajan Arjun Balasubramanian Arjun Singhvi Shivaram Venkataraman Aditya Akella Amar Phanishayee Shuchi Chawla
+	Tiramisu: Fast and General Network Verification.	2019	Anubhavnidhi Abhashkumar Aaron Gember-Jacobson Aditya Akella
+	Network-accelerated Distributed Machine Learning Using MLFabric	2019	Raajay Viswanathan Aditya Akella
+	SNF: Serverless Network Functions	2019	Arjun Singhvi Junaid Khalid Aditya Akella Sujata Banerjee
+	D2R: Dataplane-Only Policy-Compliant Routing Under Failures	2019	Kausik Subramanian Anubhavnidhi Abhashkumar Loris D’Antoni Aditya Akella
+	Archipelago: A Scalable Low-Latency Serverless Platform	2019	Arjun Singhvi Kevin Houck Arjun Balasubramanian Mohammed Danish Shaikh Shivaram Venkataraman Aditya Akella
+	Themis: Fair and Efficient GPU Cluster Scheduling	2019	Kshiteej Mahajan Arjun Balasubramanian Arjun Singhvi Shivaram Venkataraman Aditya Akella Amar Phanishayee Shuchi Chawla
+	Tiramisu: Fast and General Network Verification	2019	Anubhavnidhi Abhashkumar Aaron Gember-Jacobson Aditya Akella
+	Fast and Flexible Data Analytics with F2.	2017	Robert Grandl Arjun Singhvi Aditya Akella
+	F2: Reenvisioning Data Analytics Systems	2017	Robert Grandl Arjun Singhvi Raajay Viswanathan Aditya Akella
+	F2: Separating Compute from Data in Cluster Computing	2017	Robert Grandl Arjun Singhvi Aditya Akella
+	Whiz: A Fast and Flexible Data Analytics System	2017	Robert Grandl Arjun Singhvi Raajay Viswanathan Aditya Akella
+	Whiz: A Fast and Flexible Data Analytics System	2017	Robert Grandl Arjun Singhvi Raajay Viswanathan Aditya Akella
+	StreamNF: Performance and Correctness for Stateful Chained NFs.	2016	Junaid Khalid Aditya Akella
+	Do the Hard Stuff First: Scheduling Dependent Computations in Data-Analytics Clusters	2016	Robert Grandl Srikanth Kandula Sriram Rao Aditya Akella Janardhan Kulkarni
+	Correctness and Performance for Stateful Chained Network Functions	2016	Junaid Khalid Aditya Akella
+	Do the Hard Stuff First: Scheduling Dependent Computations in Data-Analytics Clusters	2016	Robert Grandl Srikanth Kandula Sriram Rao Aditya Akella Janardhan Kulkarni
+	Active Switching: Packet Steering Flow Annotations	2014	Saul St. John Aditya Akella
+	Stratos: A Network-Aware Orchestration Layer for Middleboxes in the Cloud	2013	Aaron Gember-Jacobson Anand Krishnamurthy Saul St. John Robert Grandl Xiaoyang Gao Ashok Anand Theophilus Benson Aditya Akella Vyas Sekar
+	Stratos: A Network-Aware Orchestration Layer for Virtual Middleboxes in Clouds	2013	Aaron Gember-Jacobson Anand Krishnamurthy Saul St. John Robert Grandl Xiaoyang Gao Ashok Anand Theophilus Benson Vyas Sekar Aditya Akella

Common Coauthors

Coauthor	Papers Together
Shivaram Venkataraman	13
Arjun Singhvi	12
Robert Grandl	9
Arjun Balasubramanian	8
Kshiteej Mahajan	5
Raajay Viswanathan	4
Daehyeok Kim	4
Rohit Dwivedula	4
Divyanshu Saxena	4
Amar Phanishayee	4
Tarannum Khan	4
Shuchi Chawla	4
Aaron Gember-Jacobson	4
Junaid Khalid	3
Adarsh Kumar	3
Saul St. John	3
Anubhavnidhi Abhashkumar	3
Jianan Ji	2
Joydeep Biswas	2
Haoyu Li	2
Srinivas Sridharan	2
Pallavi Shurpali	2
Xiaoyang Gao	2
Saeed Rashidi	2
Yeonju Ro	2
Sujata Banerjee	2
Liuhui Wang	2
Mohammed Danish Shaikh	2
Qizhi Chen	2
Srikanth Kandula	2
Adarsh Kumar	2
Tushar Krishna	2
Bodun Hu	2
Theophilus Benson	2
Yuhan Wu	2
Neeraja J. Yadwadkar	2
Yanfang Le	2
Swarat Chaudhuri	2
Jeongyoon Moon	2
Christopher J. Rossbach	2
Yikai Zhao	2
Tong Yang	2
Anand Krishnamurthy	2
Mosharaf Chowdhury	2
Janardhan Kulkarni	2
Vyas Sekar	2
ChonLam Lao	2
Gene Uhc Kim	2
Kausik Subramanian	2
Ashok Anand	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	The Case for Learned Index Structures	2018	Tim Kraska Alex Beutel Ed H. Jay B. Dean Neoklis Polyzotis	2
+	Cloud Programming Simplified: A Berkeley View on Serverless Computing	2019	Eric Jonas Johann Schleier-Smith Vikram Sreekanti Chia-Che Tsai Anurag Khandelwal Qifan Pu Vaishaal Shankar João Carreira Karl Krauth Neeraja J. Yadwadkar	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads	2019	Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao Fan Yang	2
+	Achieving Human Parity on Automatic Chinese to English News Translation	2018	Hany Hassan Anthony Aue Chang Chen Vishal Chowdhary Jonathan H. Clark Christian Federmann Xuedong Huang Marcin Junczys-Dowmunt William D. Lewis Mu Li	2
+	BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Yoshua Bengio	2
+	MLlib: Machine Learning in Apache Spark	2015	Xiangrui Meng Joseph K. Bradley Burak Yavuz Evan Sparks Shivaram Venkataraman Davies Liu Jeremy Freeman DB Tsai Manish Amde Sean Owen	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	Mechanism design for fair division	2013	Richard Cole Vasilis Gkatzelis Gagan Goel	1
+ PDF Chat	Efficient synthesis of network updates	2015	Jedidiah McClurg Hossein Hojjat Pavol Černý Nate Foster	1
+ PDF Chat	Fast Video Classification via Adaptive Cascading of Deep Models	2017	Haichen Shen Seungyeop Han Matthai Philipose Arvind Krishnamurthy	1
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	1
+ PDF Chat	Invertible bloom lookup tables	2011	Michael T. Goodrich Michael Mitzenmacher	1
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	1
+	A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems	1998	Rishabh Jain Dah Ming Chiu W. Hawe	1
+ PDF Chat	Backyard Cuckoo Hashing: Constant Worst-Case Operations with a Succinct Representation	2010	Yuriy Arbitman Moni Naor Gil Segev	1
+	signSGD: Compressed Optimisation for Non-Convex Problems	2018	Jeremy Bernstein Yu-Xiang Wang Kamyar Azizzadenesheli Anima Anandkumar	1
+	Ray: A Distributed Framework for Emerging AI Applications	2017	Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw Eric Liang Melih Elibol Zongheng Yang William Paul Michael I. Jordan	1
+	Revisiting Distributed Synchronous SGD	2017	Jianmin Chen Rajat Monga Samy Bengio Rafał Józefowicz	1
+	Stratos: A Network-Aware Orchestration Layer for Middleboxes in the Cloud	2013	Aaron Gember-Jacobson Anand Krishnamurthy Saul St. John Robert Grandl Xiaoyang Gao Ashok Anand Theophilus Benson Aditya Akella Vyas Sekar	1
+	SQuAD: 100,000+ Questions for Machine Comprehension of Text	2016	Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang	1
+	Optimization Methods for Large-Scale Machine Learning	2016	Léon Bottou Frank E. Curtis Jorge Nocedal	1
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	1
+	QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent	2016	Dan Alistarh Jerry Li Ryota Tomioka Milan Vojnović	1
+	Deep Speech: Scaling up end-to-end speech recognition	2014	Awni Hannun Carl Case Jared Casper Bryan Catanzaro Greg Diamos Erich Elsen Ryan Prenger Sanjeev Satheesh Shubho Sengupta Adam Coates	1
+ PDF Chat	Network-Wide Configuration Synthesis	2017	Ahmed El-Hassany Petar Tsankov Laurent Vanbever Martin Vechev	1
+ PDF Chat	An Optimal Bloom Filter Replacement Based on Matrix Solving	2009	Ely Porat	1
+	Multi-Scale Dense Convolutional Networks for Efficient Prediction.	2017	Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger	1
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	1
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Hashing for Similarity Search: A Survey	2014	Jingdong Wang Heng Tao Shen Jingkuan Song Jianqiu Ji	1
+	SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement	2017	Maithra Raghu Justin Gilmer Jason Yosinski Jascha Sohl‐Dickstein	1
+	SkipNet: Learning Dynamic Routing in Convolutional Networks	2017	Xin Wang Fisher Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez	1
+	Active Learning for Convolutional Neural Networks: A Core-Set Approach	2017	Ozan Şener Silvio Savarese	1
+ PDF Chat	AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training	2018	Chia‐Yu Chen Jungwook Choi Daniël Brand Ankur Agrawal Wei Zhang Kailash Gopalakrishnan	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	1
+	Theory of Convex Optimization for Machine Learning.	2014	Sébastien Bubeck	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition	2018	Pete Warden	1
+	Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing	2017	Hanzhang Hu Debadeepta Dey Martial Hebert J. Andrew Bagnell	1
+	ATOMO: Communication-efficient Learning via Atomic Sparsification	2018	Hongyi Wang Scott Sievert Zachary Charles Shengchao Liu Stephen J. Wright Dimitris Papailiopoulos	1
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	1
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	1
+	numpywren: serverless linear algebra	2018	Vaishaal Shankar Karl Krauth Qifan Pu Eric Jonas Shivaram Venkataraman Ion Stoica Benjamin Recht Jonathan Ragan‐Kelley	1
+ PDF Chat	The Open Images Dataset V4	2020	Alina Kuznetsova Hassan Rom Neil Alldrin Jasper Uijlings Ivan Krasin Jordi Pont-Tuset Shahab Kamali Stefan Popov Matteo Malloci Alexander Kolesnikov	1
+	Heavy-Hitter Detection Entirely in the Data Plane	2017	Vibhaalakshmi Sivaraman Srinivas Narayana Ori Rottenstreich S. Muthukrishnan Jennifer Rexford	1