Aditya Akella

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 108

Top Venues

Publications

Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR (2024)
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella
CONGO: Compressive Online Gradient Optimization with Application to Microservices Management. CoRR (2024)
Brian Chang, Kausik Subramanian, Loris D'Antoni, Aditya Akella
Learned load balancing. Theor. Comput. Sci. 1003 (2024)
Jiamin Li, Le Xu, Hong Xu, Aditya Akella
BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models. CoRR (2024)
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. NSDI (2024)
ChonLam Lao, Jiaqi Gao, Ganesh Ananthanarayanan, Aditya Akella, Minlan Yu
HawkVision: Low-Latency Modeless Edge AI Serving. CoRR (2024)
Haoyu Li, Yuchen Xu, Jiayi Chen, Rohit Dwivedula, Wenfei Wu, Keqiang He, Aditya Akella, Daehyeok Kim
Accelerating Distributed Deep Learning using Lossless Homomorphic Compression. CoRR (2024)
Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, Aditya Akella
Resilient Baseband Processing in Virtualized RANs with Slingshot. SIGCOMM (2023)
Saksham Goel, Benjamin Mikek, Jehad Aly, Venkat Arun, Ahmed Saeed, Aditya Akella
Quantitative Verification of Scheduling Heuristics. CoRR (2023)
Jiaxin Lin, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella
Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs. Proc. ACM Meas. Anal. Comput. Syst. 7 (2) (2023)
Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella
ChainedFilter: Combining Membership Filters by Chain Rule. CoRR (2023)
Divyanshu Saxena, William Zhang, Madhav Tummala, Saksham Goel, Aditya Akella
Invited Paper: Towards Efficient Microservice Communication. ApPLIED@PODC (2023)
Divyanshu Saxena, Tao Ji, Arjun Singhvi, Junaid Khalid, Aditya Akella
Navigating Performance-Efficiency Tradeoffs in Serverless Computing: Deduplication to the Rescue! ACM SIGOPS Oper. Syst. Rev. 57 (1) (2023)
Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar, Aditya Akella, Indranil Gupta
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing. CoRR (2023)
Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, Bodun Hu, Aditya Akella, Christopher J. Rossbach
Towards a Machine Learning-Assisted Kernel with LAKE. ASPLOS (2) (2023)
Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, Xiangyao Yu
Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases. Proc. VLDB Endow. 16 (6) (2023)
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. CoRR (2023)
Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella
ChainedFilter: Combining Membership Filters by Chain Rule. Proc. ACM Manag. Data 1 (4) (2023)
Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit. ICML (2023)
Zerui Guo, Jiaxin Lin, Yuebin Bai, Daehyeok Kim, Michael Swift, Aditya Akella, Ming Liu
LogNIC: A High-Level Performance Model for SmartNICs. MICRO (2023)
Kshiteej Mahajan, Ching-Hsiang Chu, Srinivas Sridharan, Aditya Akella
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE. NSDI (2023)
Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent E. Stephens, Hassan M. G. Wassel, Aditya Akella
RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs. NSDI (2023)
Jiaxin Lin, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella
Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs. SIGMETRICS (Abstracts) (2023)
Divyanshu Saxena, Nihal Sharma, Donghyun Kim, Rohit Dwivedula, Jiayi Chen, Chenxi Yang, Sriram Ravula, Zichao Hu, Aditya Akella, Sebastian Angel, Joydeep Biswas, Swarat Chaudhuri, Isil Dillig, Alex Dimakis, Philip Brighten Godfrey, Daehyeok Kim, Christopher J. Rossbach, Gang Wang
On a Foundation Model for Operating Systems. CoRR (2023)
Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning. NSDI (2023)
Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman
Darwin: Flexible Learning-based CDN Caching. SIGCOMM (2023)
Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC (2023)
Brian Chang, Aditya Akella, Loris D'Antoni, Kausik Subramanian
Learned Load Balancing. ICDCN (2023)
Yanfang Le, Jeongkeun Lee, Jeremias Blendin, Jiayi Chen, Georgios Nikolaidis, Rong Pan, Robert Soulé, Aditya Akella, Pedro Yebenes Segura, Arjun Singhvi, Yuliang Li, Qingkai Meng, Changhoon Kim, Serhat Arslan
SFC: Near-Source Congestion Signaling and Flow Control. CoRR (2023)
Tao Ji, Divyanshu Saxena, Brent E. Stephens, Aditya Akella
Yama: Providing Performance Isolation for Black-Box Offloads. SoCC (2023)
Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella
MOSEL: Inference Serving Using Dynamic Modality Selection. CoRR (2023)
Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning. 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)
Divyanshu Saxena, Tao Ji, Arjun Singhvi, Junaid Khalid, Aditya Akella
Memory deduplication for serverless computing with Medes. EuroSys (2022)
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. CoRR (2022)
Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Aditya Akella
Elastic Model Aggregation with Parameter Service. CoRR (2022)
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. HOTI (2022)
Sudarsanan Rajasekaran, Manya Ghobadi, Gautam Kumar, Aditya Akella
Congestion control in machine learning clusters. HotNets (2022)
Maruth Goyal, Aditya Akella
Think before you shuffle: data-driven shuffles for geo-distributed analytics. BiDEDE@SIGMOD (2022)
Anurag Khandelwal, Yupeng Tang, Rachit Agarwal, Aditya Akella, Ion Stoica
Jiffy: elastic far-memory for stateful serverless analytics. EuroSys (2022)
Anubhavnidhi Abhashkumar, Kausik Subramanian, Alexey Andreyev, Hyojeong Kim, Nanda Kishore Salem, Jingyi Yang, Petr Lapukhov, Aditya Akella, Hongyi Zeng
Running BGP in Data Centers at Scale. NSDI (2021)
Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella
Doing more by doing less: how structured partial backpropagation improves deep learning clusters. DistributedML@CoNEXT (2021)
Brent E. Stephens, Darius Grassi, Hamidreza Almasi, Tao Ji, Balajee Vamanan, Aditya Akella
TCP is Harmful to In-Network Computing: Designing a Message Transport Protocol (MTP). HotNets (2021)
Arjun Singhvi, Arjun Balasubramanian, Kevin Houck, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella
Atoll: A Scalable Low-Latency Serverless Platform. SoCC (2021)
Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella
Accelerating Deep Learning Inference via Learned Caches. CoRR (2021)
Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Hongyi Liu, Matty Kadosh, Alan Lo, Aditya Akella, Thomas Anderson, Arvind Krishnamurthy, T. S. Eugene Ng, Ang Chen
A Vision for Runtime Programmable Networks. HotNets (2021)
Yanfang Le, Radhika Niranjan Mysore, Lalith Suresh, Gerd Zellweger, Sujata Banerjee, Aditya Akella, Michael M. Swift
PL2: Towards Predictable Low Latency in Rack-Scale Networks. CoRR (2021)
Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella
Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters. CoRR (2021)
ChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen, Wenfei Wu, Aditya Akella, Michael M. Swift
ATP: In-network Aggregation for Multi-tenant Learning. NSDI (2021)
Arjun Singhvi, Aditya Akella, Maggie Anderson, Rob Cauble, Harshad Deshmukh, Dan Gibson, Milo M. K. Martin, Amanda Strominger, Thomas F. Wenisch, Amin Vahdat
CliqueMap: productionizing an RMA-based distributed caching system. SIGCOMM (2021)
Robert Grandl, Arjun Singhvi, Raajay Viswanathan, Aditya Akella
Whiz: Data-Driven Analytics Execution. NSDI (2021)
Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella
D2R: Policy-Compliant Fast Reroute. SOSR (2021)
Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla
Themis: Fair and Efficient GPU Cluster Scheduling. NSDI (2020)
Farnaz Yousefi, Anubhavnidhi Abhashkumar, Kausik Subramanian, Kartik Hans, Soudeh Ghorbani, Aditya Akella
Liveness Verification of Stateful Network Functions. NSDI (2020)
Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella
Detecting network load violations for distributed control planes. PLDI (2020)
Kaiyuan Zhang, Danyang Zhuo, Aditya Akella, Arvind Krishnamurthy, Xi Wang
Automated Verification of Customizable Middlebox Properties with Gravel. NSDI (2020)
Raajay Viswanathan, Arjun Balasubramanian, Aditya Akella
Network-accelerated distributed machine learning for multi-tenant settings. SoCC (2020)
Jiaxin Lin, Kiran Patel, Brent E. Stephens, Anirudh Sivaraman, Aditya Akella
PANIC: A High-Performance Programmable NIC for Multi-tenant Networks. OSDI (2020)
Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella
Accelerating Deep Learning Inference via Freezing. CoRR (2020)
Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella
AED: incrementally synthesizing policy-compliant and manageable configurations. CoNEXT (2020)
Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee
SNF: serverless network functions. SoCC (2020)
Arjun Singhvi, Aditya Akella, Dan Gibson, Thomas F. Wenisch, Monica Wong-Chan, Sean Clark, Milo M. K. Martin, Moray McLaren, Prashant Chandra, Rob Cauble, Hassan M. G. Wassel, Behnam Montazeri, Simon L. Sabato, Joel Scherpelz, Amin Vahdat
1RMA: Re-envisioning Remote Memory Access for Multi-tenant Datacenters. SIGCOMM (2020)
Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella
Tiramisu: Fast Multilayer Network Verification. NSDI (2020)
Brent E. Stephens, Aditya Akella, Michael M. Swift
Loom: Flexible and Efficient NIC Packet Scheduling. NSDI (2019)
Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella
D2R: Dataplane-Only Policy-Compliant Routing Under Failures. CoRR (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 for Machine Learning Workloads. CoRR (2019)
Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella
Tiramisu: Fast and General Network Verification. CoRR (2019)
Yanfang Le, Mojtaba MalekpourShahraki, Brent E. Stephens, Aditya Akella, Michael M. Swift
On the Impact of Cluster Configuration on RoCE Application Design. APNet (2019)
Dmitry Duplyakin, Robert Ricci, Aleksander Maricq, Gary Wong, Jonathon Duerig, Eric Eide, Leigh Stoller, Mike Hibler, David Johnson, Kirk Webb, Aditya Akella, Kuang-Ching Wang, Glenn Ricart, Larry Landweber, Chip Elliott, Michael Zink, Emmanuel Cecchet, Snigdhaswin Kar, Prabodh Mishra
The Design and Operation of CloudLab. USENIX Annual Technical Conference (2019)
Raajay Viswanathan, Aditya Akella
Network-accelerated Distributed Machine Learning Using MLFabric. CoRR (2019)
Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee
SNF: Serverless Network Functions. CoRR (2019)
Junaid Khalid, Aditya Akella
Correctness and Performance for Stateful Chained Network Functions. NSDI (2019)
Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella
Archipelago: A Scalable Low-Latency Serverless Platform. CoRR (2019)
Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella
Accelerating Deep Learning Inference via Freezing. HotCloud (2019)
Adam Wierman, Aditya Akella
Message from the Editors. Proc. ACM Meas. Anal. Comput. Syst. 2 (2) (2018)
Kshiteej Mahajan, Mosharaf Chowdhury, Aditya Akella, Shuchi Chawla
Dynamic Query Re-Planning using QOOP. OSDI (2018)
Brent E. Stephens, Aditya Akella, Michael M. Swift
Your Programmable NIC Should be a Programmable Switch. HotNets (2018)
Kausik Subramanian, Loris D'Antoni, Aditya Akella
Synthesis of Fault-Tolerant Distributed Router Configurations. Proc. ACM Meas. Anal. Comput. Syst. 2 (1) (2018)
Paul Suganthan G. C., Adel Ardalan, AnHai Doan, Aditya Akella
Smurf: Self-Service String Matching Using Random Forests. Proc. VLDB Endow. 12 (3) (2018)
Junaid Khalid, Eric Rozner, Wesley M. Felter, Cong Xu, Karthick Rajamani, Alexandre Ferreira, Aditya Akella
Iron: Isolating Network-based CPU in Container Environments. NSDI (2018)
Kausik Subramanian, Loris D'Antoni, Aditya Akella
Synthesis of Fault-Tolerant Distributed Router Configurations. SIGMETRICS (Abstracts) (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)
Yanfang Le, Brent E. Stephens, Arjun Singhvi, Aditya Akella, Michael M. Swift
RoGUE: RDMA over Generic Unconverged Ethernet. SoCC (2018)
Anand Padmanabha Iyer, Aurojit Panda, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica
Monarch: Gaining Command on Geo-Distributed Graph Analytics. HotCloud (2018)
Anubhavnidhi Abhashkumar, Joon-Myung Kang, Sujata Banerjee, Aditya Akella, Ying Zhang, Wenfei Wu
Supporting Diverse Dynamic Intent-based Policies using Janus. CoNEXT (2017)
Keqiang He, Weite Qin, Qiwei Zhang, Wenfei Wu, Junjie Yang, Tian Pan, Chengchen Hu, Jiao Zhang, Brent E. Stephens, Aditya Akella, Ying Zhang
Low Latency Software Rate Limiters for Cloud Networks. APNet (2017)
Yanfang Le, Hyunseok Chang, Sarit Mukherjee, Limin Wang, Aditya Akella, Michael M. Swift, T. V. Lakshman
UNO: uniflying host and smart NIC offload for flexible packet processing. SoCC (2017)
Brent E. Stephens, Arjun Singhvi, Aditya Akella, Michael M. Swift
Titan: Fair Packet Scheduling for Commodity Multiqueue NICs. USENIX Annual Technical Conference (2017)
Robert Grandl, Arjun Singhvi, Aditya Akella
Fast and Flexible Data Analytics with F2. CoRR (2017)
Arjun Singhvi, Sujata Banerjee, Yotam Harchol, Aditya Akella, Mark Peek, Pontus Rydin
Granular Computing and Network Intensive Applications: Friends or Foes? HotNets (2017)
Anubhavnidhi Abhashkumar, Jeongkeun Lee, Jean Tourrilhes, Sujata Banerjee, Wenfei Wu, Joon-Myung Kang, Aditya Akella
P5: Policy-driven optimization of P4 pipeline. SOSR (2017)
Kausik Subramanian, Loris D'Antoni, Aditya Akella
Genesis: synthesizing forwarding tables in multi-tenant networks. POPL (2017)
Raja R. Sambasivan, David Tran-Lam, Aditya Akella, Peter Steenkiste
Bootstrapping evolvability for inter-domain routing with D-BGP. SIGCOMM (2017)
Jay Aikat, Aditya Akella, Jeffrey S. Chase, Ari Juels, Michael K. Reiter, Thomas Ristenpart, Vyas Sekar, Michael M. Swift
Rethinking Security in the Era of Cloud Computing. IEEE Secur. Priv. 15 (3) (2017)
Aaron Gember-Jacobson, Aditya Akella, Ratul Mahajan, Hongqiang Harry Liu
Automatically Repairing Network Control Planes Using an Abstract Representation. SOSP (2017)
Junaid Khalid, Aditya Akella
StreamNF: Performance and Correctness for Stateful Chained NFs. CoRR (2016)
Raajay Viswanathan, Ganesh Ananthanarayanan, Aditya Akella
CLARINET: WAN-Aware Optimization for Analytics Queries. OSDI (2016)
Junaid Khalid, Mark Coatsworth, Aaron Gember-Jacobson, Aditya Akella
A Standardized Southbound API for VNF Management. HotMiddlebox@SIGCOMM (2016)
Aditya Akella
ACM SIGCOMM Student Mentoring Column: On Testbeds and Datasets. Comput. Commun. Rev. 46 (2) (2016)
Aaron Gember-Jacobson, Raajay Viswanathan, Aditya Akella, Ratul Mahajan
Fast Control Plane Analysis Using an Abstract Representation. SIGCOMM (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aditya Akella