Minimal Indices for Successor Search - (Extended Abstract). - Sarel Cohen; Amos Fiat; Moshik Hershcovitch; Haim Kaplan (MFCS, 2013)

I/O Efficient Dynamic Data Structures for Longest Prefix Queries. - Moshe Hershcovitch; Haim Kaplan (Algorithmica, 2013)

Minimal Indices for Successor Search. - Sarel Cohen; Amos Fiat; Moshe Hershcovitch; Haim Kaplan (CoRR, 2013)

Minimal indices for predecessor search. - Sarel Cohen; Amos Fiat; Moshik Hershcovitch; Haim Kaplan (Inf. Comput., 2015)

PM aware storage engine for MongoDB. - Moshik Hershcovitch; Revital Eres; Adam J. McPadden (SYSTOR, 2018)

Sketching Volume Capacities in Deduplicated Storage. - Danny Harnik; Moshik Hershcovitch; Yosef Shatsky; Amir Epstein; Ronen I. Kat (ACM Trans. Storage, 2020)

Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. - Sarel Cohen; Moshik Hershcovitch; Martin Taraz; Otto Kißig; Andrew Wood; Daniel G. Waddington; Peter Chin 001; Tobias Friedrich 001 (COMPLEX NETWORKS, 2021)

Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. - Andrew Wood; Moshik Hershcovitch; Daniel G. Waddington; Sarel Cohen; Meredith Wolf; Hongjun Suh; Weiyu Zong; Peter Chin 001 (HPEC, 2021)

PyMM: Heterogeneous Memory Programming for Python Data Science. - Daniel G. Waddington; Moshik Hershcovitch; Clem Dickey (PLOS@SOSP, 2021)

DeCorus-NSA: detection and correlation of unusual signals for network syslog analytics. - David Ohana; Bruno Wassermann; Moshik Hershcovitch; Elliot K. Kolodner; Michal Malka; Eran Raichstein; Ronen Schaffer; Robert Shahla (SYSTOR, 2021)

An Architecture for Memory Centric Active Storage (MCAS). - Daniel G. Waddington; Clem Dickey; Moshik Hershcovitch; Sangeetha Seshadri (CoRR, 2021)

A High-Performance Persistent Memory Key-Value Store with Near-Memory Compute. - Daniel G. Waddington; Clem Dickey; Luna Xu; Moshik Hershcovitch; Sangeetha Seshadri (CoRR, 2021)

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

Elastic Indexes: Dynamic Space vs. Query Efficiency Tuning for In-Memory Database Indexing. - Moshik Hershcovitch; Artem Khyzha; Daniel G. Waddington; Adam Morrison 001 (EDBT, 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)

Biologically Plausible Complex-Valued Neural Networks and Model Optimization. - Ryan Yu; Andrew Wood; Sarel Cohen; Moshik Hershcovitch; Daniel G. Waddington; Peter Chin 001 (AIAI (1), 2022)

Evaluating compressed indexes in DBMS. - Oz Anani; Gal Lushi; Moshik Hershcovitch; Adam Morrison 001 (SYSTOR, 2022)

System-level crash safe sorting on persistent memory. - Omri Arad; Yoav Ben Shimon; Ron Zadicario; Daniel G. Waddington; Moshik Hershcovitch; Adam Morrison 001 (SYSTOR, 2022)

Non-Volatile Memory Accelerated Posterior Estimation. - Andrew Wood; Moshik Hershcovitch; Daniel G. Waddington; Sarel Cohen; Peter Chin 001 (CoRR, 2022)

Fast Feature Selection with Fairness Constraints. - Francesco Quinzan; Rajiv Khanna; Moshik Hershcovitch; Sarel Cohen; Daniel G. Waddington; Tobias Friedrich 001; Michael W. Mahoney (AISTATS, 2023)

Cache Line Deltas Compression. - Daniel Cohen; Sarel Cohen; Dalit Naor; Daniel G. Waddington; Moshik Hershcovitch (SYSTOR, 2023)

Prefix Siphoning: Exploiting LSM-Tree Range Filters For Information Disclosure. - Adi Kaufman; Moshik Hershcovitch; Adam Morrison 001 (USENIX ATC, 2023)

Prefix Siphoning: Exploiting LSM-Tree Range Filters For Information Disclosure (Full Version). - Adi Kafuman; Moshik Hershcovitch; Adam Morrison 001 (CoRR, 2023)

RLS Side Channels: Investigating Leakage of Row-Level Security Protected Data Through Query Execution Time. - Chen Dar; Moshik Hershcovitch; Adam Morrison 001 (Proc. ACM Manag. Data, 2023)

Dictionary Based Cache Line Compression. - Daniel Cohen; Sarel Cohen; Dalit Naor; Daniel G. Waddington; Moshik Hershcovitch (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)

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)

Why Paying for Storage Beats Free Networking in Cloud Bursting. - Itamar Gefen; Aviad Zuck; Daniel Bransky; Moshik Hershcovitch; Danny Harnik; Dan Tsafrir (HotStorage, 2025)

SkyStore: Cost-Optimized Object Storage Across Regions and Clouds. - Shu Liu; Xiangxi Mo; Moshik Hershcovitch; Henric Zhang; Audrey Cheng; Guy Girmonsky; Gil Vernik; Michael Factor; Tiemo Bang; Soujanya Ponnapalli; Natacha Crooks; Joseph Gonzalez 001; et al. (Proc. VLDB Endow., 2025)