Type-Safe Disks. - Gopalan Sivathanu; Swaminathan Sundararaman; Erez Zadok (OSDI, 2006)

Exploiting type-awareness in a self-recovering disk. - Kiron Vijayasankar; Gopalan Sivathanu; Swaminathan Sundararaman; Erez Zadok (StorageSS, 2007)

Selective Versioning in a Secure Disk System. - Swaminathan Sundararaman; Gopalan Sivathanu; Erez Zadok (USENIX Security Symposium, 2008)

Tolerating File-System Mistakes with EnvyFS. - Lakshmi N. Bairavasundaram; Swaminathan Sundararaman; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (USENIX ATC, 2009)

Why panic()?: improving reliability with restartable file systems. - Swaminathan Sundararaman; Sriram Subramanian; Abhishek Rajimwale; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau; Michael M. Swift (ACM SIGOPS Oper. Syst. Rev., 2010)

Membrane: Operating system support for restartable file systems. - Swaminathan Sundararaman; Sriram Subramanian; Abhishek Rajimwale; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau; Michael M. Swift (ACM Trans. Storage, 2010)

Refuse to crash with Re-FUSE. - Swaminathan Sundararaman; Laxman Visampalli; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (EuroSys, 2011)

TidyFS: A Simple and Small Distributed File System. - Dennis Fetterly; Maya Haridasan; Michael Isard; Swaminathan Sundararaman (USENIX ATC, 2011)

Making the common case the only case with anticipatory memory allocation. - Swaminathan Sundararaman; Yupu Zhang; Sriram Subramanian; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (ACM Trans. Storage, 2012)

Write policies for host-side flash caches. - Ricardo Koller; Leonardo Mármol; Raju Rangaswami; Swaminathan Sundararaman; Nisha Talagala; Ming Zhao 002 (FAST, 2013)

Snapshots in a flash with ioSnap. - Sriram Subramanian; Swaminathan Sundararaman; Nisha Talagala; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (EuroSys, 2014)

NVMKV: A Scalable and Lightweight Flash Aware Key-Value Store. - Leonardo Mármol; Swaminathan Sundararaman; Nisha Talagala; Raju Rangaswami; Sushma Devendrappa; Bharath Ramsundar; Sriram Ganesan (HotStorage, 2014)

Don't Stack Your Log On My Log. - Jingpei Yang; Ned Plasson; Greg Gillis; Nisha Talagala; Swaminathan Sundararaman (INFLOW, 2014)

ANViL: Advanced Virtualization for Modern Non-Volatile Memory Devices. - Zev Weiss; Sriram Subramanian; Swaminathan Sundararaman; Nisha Talagala; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (FAST, 2015)

Towards software defined persistent memory: rethinking software support for heterogenous memory architectures. - Swaminathan Sundararaman; Nisha Talagala; Dhananjoy Das; Amar Mudrankit; Dulcardo Arteaga (INFLOW@SOSP, 2015)

Mjölnir: collecting trash in a demanding new world. - Zev Weiss; Sriram Subramanian; Swaminathan Sundararaman; Vinay Sridhar; Nisha Talagala; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (INFLOW@SOSP, 2015)

NVMKV: A Scalable, Lightweight, FTL-aware Key-Value Store. - Leonardo Mármol; Swaminathan Sundararaman; Nisha Talagala; Raju Rangaswami (USENIX ATC, 2015)

CloudCache: On-demand Flash Cache Management for Cloud Computing. - Dulcardo Arteaga; Jorge Cabrera 002; Jing Xu 012; Swaminathan Sundararaman; Ming Zhao 002 (FAST, 2016)

Tiny-Tail Flash: Near-Perfect Elimination of Garbage Collection Tail Latencies in NAND SSDs. - Shiqin Yan; Huaicheng Li; Mingzhe Hao; Michael Hao Tong; Swaminathan Sundararaman; Andrew A. Chien; Haryadi S. Gunawi (ACM Trans. Storage, 2017)

Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems. - Haryadi S. Gunawi; Riza O. Suminto; Russell Sears; Casey Golliher; Swaminathan Sundararaman; Xing Lin; Tim Emami; Weiguang Sheng; Nematollah Bidokhti; Caitie McCaffrey; Gary Grider; Parks M. Fields; et al. (FAST, 2018)

The CASE of FEMU: Cheap, Accurate, Scalable and Extensible Flash Emulator. - Huaicheng Li; Mingzhe Hao; Michael Hao Tong; Swaminathan Sundararaman; Matias Bjørling; Haryadi S. Gunawi (FAST, 2018)

ECO: Harmonizing Edge and Cloud with ML/DL Orchestration. - Nisha Talagala; Swaminathan Sundararaman; Vinay Sridhar; Dulcardo Arteaga; Qianmei Luo; Sriram Subramanian; Sindhu Ghanta; Lior Khermosh; Drew S. Roselli (HotEdge, 2018)

Interpretability and Reproducability in Production Machine Learning Applications. - Sindhu Ghanta; Sriram Subramanian; Swaminathan Sundararaman; Lior Khermosh; Vinay Sridhar; Dulcardo Arteaga; Qianmei Luo; Dhananjoy Das; Nisha Talagala (ICMLA, 2018)

Model Governance: Reducing the Anarchy of Production ML. - Vinay Sridhar; Sriram Subramanian; Dulcardo Arteaga; Swaminathan Sundararaman; Drew S. Roselli; Nisha Talagala (USENIX ATC, 2018)

Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems. - Haryadi S. Gunawi; Riza O. Suminto; Russell Sears; Casey Golliher; Swaminathan Sundararaman; Xing Lin; Tim Emami; Weiguang Sheng; Nematollah Bidokhti; Caitie McCaffrey; Deepthi Srinivasan; Biswaranjan Panda; et al. (ACM Trans. Storage, 2018)

Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems. - Haryadi S. Gunawi; Riza O. Suminto; Russell Sears; Swaminathan Sundararaman; Xing Lin; Robert Ricci (login Usenix Mag., 2018)

MPP: Model Performance Predictor. - Sindhu Ghanta; Sriram Subramanian; Lior Khermosh; Harshil Shah; Yakov Goldberg; Swaminathan Sundararaman; Drew S. Roselli; Nisha Talagala (OpML, 2019)

ML Health: Fitness Tracking for Production Models. - Sindhu Ghanta; Sriram Subramanian; Lior Khermosh; Swaminathan Sundararaman; Harshil Shah; Yakov Goldberg; Drew S. Roselli; Nisha Talagala (CoRR, 2019)

From Data Science to Production ML: Introducing USENIX OpML. - Nisha Talagala; Bharath Ramsundar; Swaminathan Sundararaman (login Usenix Mag., 2019)

A case for using cache line deltas for high frequency VM snapshotting. - Daniel G. Waddington; Moshik Hershcovitch; Swaminathan Sundararaman; Clem Dickey (SoCC, 2022)

Towards Fast Crash-Consistent Cluster Checkpointing. - Andrew Wood; Moshik Hershcovitch; Ilias Ennmouri; Weiyu Zong; Saurav Chennuri; Sarel Cohen; Swaminathan Sundararaman; Daniel G. Waddington; Sang (Peter) Chin (HPEC, 2022)

MoEsaic: Shared Mixture of Experts. - Umesh Deshpande; Travis Janssen; Mudhakar Srivatsa; Swaminathan Sundararaman (SoCC, 2024)

A Selective Preprocessing Offloading Framework for Reducing Data Traffic in DL Training. - Meng Wang 056; Gus Waldspurger; Swaminathan Sundararaman (HotStorage, 2024)

Lossless and Near-Lossless Compression for Foundation Models. - Moshik Hershcovitch; Leshem Choshen; Andrew Wood; Ilias Enmouri; Peter Chin 001; Swaminathan Sundararaman; Danny Harnik (CoRR, 2024)

The infrastructure powering IBM's Gen AI model development. - Talia Gershon; Seetharami Seelam; Brian Belgodere; Milton Bonilla; Lan Hoang; Danny Barnett; I-Hsin Chung; Apoorve Mohan; Ming-Hung Chen; Lixiang Luo; Robert Walkup; Constantinos Evangelinos; et al. (CoRR, 2024)

ZipNN: Lossless Compression for AI Models. - Moshik Hershcovitch; Andrew Wood; Leshem Choshen; Guy Girmonsky; Roy Leibovitz; Ilias Ennmouri; Michal Malka; Peter Chin 001; Swaminathan Sundararaman; Danny Harnik (CoRR, 2024)

GPEmu: A GPU Emulator for Faster and Cheaper Prototyping and Evaluation of Deep Learning System Research. - Meng Wang 056; Gus Waldspurger; Naufal Ananda; Yuyang Huang; Kemas Wiharja; John Bent; Swaminathan Sundararaman; Vijay Chidambaram; Haryadi S. Gunawi (Proc. VLDB Endow., 2025)

Speeding up Model Loading with fastsafetensors. - Takeshi Yoshimura; Tatsuhiro Chiba; Manish Sethi; Daniel Waddington; Swaminathan Sundararaman (CoRR, 2025)

Symbiosis: Multi-Adapter Inference and Fine-Tuning. - Saransh Gupta; Umesh Deshpande; Travis Janssen; Swaminathan Sundararaman (CoRR, 2025)