Guillaume Ambal, George Hodgkins*, Mark Madler*, Gregory Chockler, Brijesh Dongol, Joseph Izraelevitz, Azalea Raad, and Viktor Vafeiadis. A verified high-performance composable object library for remote direct memory access, POPL ’26, Rennes, France, 2026. Historical acceptance rate: 20.5%. *Advisee (PhD).*
Heewoo Kim†, Sanjay Sri Vallabh Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor Mudge, Ronald Dreslinski, and Nishil Talati. Nmp-pak: Near-memory processing acceleration of scalable de novo genome assembly. In: 52nd Annual Intl. Sym. on Computer Architecture, ISCA ’25, Tokyo, Japan, 2025. Acceptance rate: 23%. †Advisee (PostDoc).
Mingyao Shen††, Suyash Mahar††, Heewoo Kim†, Joseph Izraelevitz, and Steven Swanson. Autossd: Cxl-enhanced autonomous ssds for low tail latency. In: 34th ACM Intl. Symp. on High-Performance Parallel and Distributed Computing, HPDC ’25, Notre Dame, IN, USA, 2025. Historical average acceptance rate: 22%. †Advisee (PostDoc). ††Mentee (UCSD).
Suyash Mahar††, Mingyao Shen††, TJ Smith, Joseph Izraelevitz, and Steven Swanson. Puddles: Application-independent recovery and location-independent data for persistent memory. In: Nineteenth European Conf. on Computer Systems, EuroSys ’24, Athens, Greece, 2024. Acceptance rate: 15%. ††Mentee (UCSD).
Samuel Thomas††, Kidus Workneh*, Jac McCarty, Joseph Izraelevitz, Tamara Lehman, and R. Iris Bahar. A midsummer night’s tree: Efficient and high performance secure scm. In: 29th ACM Intl. Conf. on Architectural Support for Programming Languages and Operating Systems, Volume 3, ASPLOS ’24, La Jolla, CA, USA, 2024. Acceptance rate: 11.5%. *Advisee (PhD). ††Mentee (Brown).
George Hodgkins*, Yi Xu††, Steven Swanson, and Joseph Izraelevitz. Zhuque: Failure is not an option, it’s an exception. In: 2023 USENIX Annual Technical Conf. USENIX ATC 23, Boston, MA, USA, 2023. Acceptance rate: 18%. *Advisee (PhD). ††Mentee (UCSD).
Joseph Izraelevitz, Gaukas Wang***, Rhett Hanscom†, Kayli Silvers***, Tamara Silbergleit Lehman, Gregory Chockler, and Alexey Gotsman. Acuerdo: Fast atomic broadcast over RDMA. In: 51st Intl. Conf. on Parallel Processing, ICPP ’22, Bordeaux, France, 2023. Acceptance rate: 27%. ***Advisee (Undergrad). †Mentee (CU).
Zhang Liut, Dirk Grunwald, Joseph Izraelevitz, Gaukas Wang***, and Sangtae Ha. Mrtom: Mostly reliable totally ordered multicast, a network primitive to offload distributed systems. In: 43rd IEEE Intl. Conf. on Distributed Computing Systems, ICDCS ’23, Hong Kong, China, 2023. Acceptance rate: 19%. †Mentee (CU). ***Advisee (Undergrad).
Casey Nelson, Joseph Izraelevitz, R. Iris Bahar, and Tamara Silbergleit Lehman. Eliminating micro-architectural side-channel attacks using near memory processing. In: 2022 IEEE Intl. Symp. on Secure and Private Execution Environment Design (SEED), 2022. Acceptance rate: 71%.
Yi Xu††, Joseph Izraelevitz, and Steven Swanson. Clobber-nvm: Log less, re-execute more. In: 26th ACM Intl. Conf. on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2021, virtual, USA, 2021. Acceptance rate: 19%. ††Mentee (UCSD).
Juno Kim††, Yun Joon Soh, Joseph Izraelevitz, Jishen Zhao, and Steven Swanson. Subzero: Zero-copy io for persistent main memory file systems. In: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, APSys ’20, Tsukuba, Japan, 2020. Acceptance rate: 39%. Best Paper Award. ††Mentee (UCSD).
Amirsaman Memaripour, Joseph Izraelevitz, and Steven Swanson. Pronto: Easy and fast persistence for volatile data structures. In: 25th Intl. Conf. on Architectural Support for Programming Languages and Operating Systems, ASPLOS ’20, Lausanne, Switzerland, 2020. Acceptance rate: 18%.
Jian Yang, Joseph Izraelevitz, and Steven Swanson. Filern: Rethinking rdma networking for scalable persistent memory. In: 17th USENIX Conf. on Networked Systems Design and Implementation, NSDI ’20, Santa Clara, CA, USA, 2020. Acceptance rate: 18%.
Jian Yang, Juno Kim††, Morteza Hoseinzadeh, Joseph Izraelevitz, and Steven Swanson. An empirical guide to the behavior and use of scalable persistent memory. In: 18th USENIX Conf. on File and Storage Technologies, FAST ’20, Santa Clara, CA, USA, 2020. Acceptance rate: 17%. ††Mentee (UCSD).
Kunal Korgaonkar, Joseph Izraelevitz, Jishen Zhao, and Steven Swanson. Vorpal: Vector clock ordering for large persistent memory systems. In: 2019 ACM Symp. on Principles of Distributed Computing. PODC ’19. Toronto ON, Canada, 2019.
Jian Yang, Joseph Izraelevitz, and Steven Swanson. Orion: A distributed file system for non-volatile main memories and RDMA-capable networks. In: 17th USENIX Conf. on File and Storage Technologies. FAST  ’19. Boston, MA, 2019.
Qingrui Liu, Joseph Izraelevitz, Se Kwon Lee, Michael L. Scott, Sam H. Noh, and Changhee Jung. Ido: Compiler-directed failure atomicity for nonvolatile memory. In: 51st IEEE/ACM Intl. Symp. on Microar- chitecture. MICRO ’18. Fukuoka, Japan, 2018.
Haosen Wen, Joseph Izraelevitz, Wentao Cai, H. Alan Beadle, and Michael L.  Scott. Interval based memory reclamation. In: 23rd ACM SIGPLAN Symp. on Principles and Practice of Parallel Programming. PPoPP ’18. Vienna, Austria, 2018.
Joseph Izraelevitz and Michael L. Scott. Generality and speed in nonblocking dual containers. In: ACM Trans. on Parallel Computing, 3(4):22:1–22:37, 2017.
Joseph Izraelevitz, Lingxiang Xiang, and Michael L. Scott. Performance improvement via always-abort HTM. In: 26th Intl. Conf. on Parallel Architectures and Compilation Techniques. PACT ’17. Portland, OR, USA, 2017.
Faisal Nawab, Joseph Izraelevitz, Terence Kelly, Charles B. Morrey, Dhruva Chakrabarti, and Michael L. Scott. DalÃ: A periodically persistent hash map. In: 31st Intl. Symp. on Distributed Computing. DISC ’17. Vienna, Austria, 2017.
Matthew Graichen, Joseph Izraelevitz, and Michael L. Scott. An unbounded nonblocking double-ended queue. In: 45th Intl. Conf. on Parallel Processing. ICPP ’16. Philadelphia, PA, USA, 2016.
Joseph Izraelevitz, Terence Kelly, and Aasheesh Kolli. Failure-atomic persistent memory updates via JUSTDO logging. In: 21st Intl. Conf. on Architectural Support for Programming Languages and Operating Systems. ASPLOS XXI. Atlanta, GA, USA, 2016.
Joseph Izraelevitz, Hammurabi Mendes, and Michael L. Scott. Linearizability of persistent memory objects under a full-system-crash failure model. In: 30th Intl. Conf. on Distributed Computing. DISC ’16. Paris, France, 2016.
Short Peer-reviewed Publications (Workshop papers, posters, etc.)
George Hodgkins*, Zack McKevitt**, Ben Feinberg, Sapan Agarwal, Josh Joffrion, and Joseph Izraelevitz. Seup: Soft error protection for unhardened processors, Provisional patent application filed, no.: 63/694,702, US, 2024. University of Colorado, Âé¶¹Ó°Ôº. *Advisee (PhD). **Advisee (Master’s).
Abhiram Bellur**, Razan Alghamdi**, Kidus Workneh*, and Joseph Izraelevitz. Leroy: Library learning for imperative programming languages. In: Wkshp. on Human Aspects of Types and Reasoning Assistants, HATRA ’24, Pasadena, CA, USA, 2024. Acceptance rate: 63%. *Advisee (PhD). **Advisee (Master’s).
Samuel Thomast††, Kidus Workneh*, Ange-Thierry Ishimwe†, Zack McKevitt**, Phaedra Curlin‡, R. Iris Bahar, Joseph Izraelevitz, and Tamara Lehman. Baobab merkle tree for efficient secure memory. In: IEEE Computer Architecture Letters, 2024. *Advisee (PhD). **Advisee (Master’s). ‡Mentee (CU). ††Mentee (Brown).
Samuel Thomast††, Kidus Workneh*, Jac McCarty, Joseph Izraelevitz, Tamara Lehman, and R. Iris Bahar. A midsummer night's tree: Efficient and high performance secure scm. In: 15th Annual Non-Volatile Memories Wkshp. NVMW ’24, San Diego, CA, USA, 2024. *Advisee (PhD). ††Mentee (Brown).
George Hodgkins*, Yi Xu††, Steven Swanson, and Joseph Izraelevitz. Zhuque: Failure is not an option, it’s an exception. In: 14th Annual Non-Volatile Memories Wkshp. NVMW ’23, San Diego, CA, USA, 2023. *Advisee (PhD). ††Mentee (UCSD).
Fernando Villanea, Max Eaton***, Penglei Huang***, and Joseph Izraelevitz. Poster presentation: Implement a better random seed generator for genomic simulation. In: 2023 Conf. of the Society of Molecular Biology and Evolution, SMBE ’23, Ferrara, Italy, 2023. ***Advisee (Undergrad).
Amirsaman Meranipour, Yi Xu, Joseph Izraelevitz, and Steven Swanson. Poster presentation: Nvhooks: Compiler support for non-volatile memory programming. In: 11th Annual Non-Volatile Memories Wkshp. NVMW ’20, San Diego, CA, USA, 2020.
Jian Yang, Juno Kim††, Morteza Hoseinalibesh, Joseph Izraelevitz, and Steven Swanson. An empirical guide to the behavior and use of scalable persistent memory. In: 11th Annual Non-Volatile Memories Wkshp. NVMW ’20, San Diego, CA, USA, 2020. ††Mentee (UCSD).
Faisal Nawab, Joseph Izraelevitz, Terence Kelly, Charles B. Morrey, Dhruva Chakrabarti, and Michael L. Scott. DalÃ: A periodically persistent hash map. In: 9th Annual Non-Volatile Memories Wkshp. NVMW ’18. San Diego, CA, USA, 2018.
Joseph Izraelevitz, Virendra Marathe, and Michael L. Scott. Poster presentation: Composing durable data structures. In: 8th Annual Non-Volatile Memories Wkshp. NVMW ’17. San Diego, CA, USA, 2017.
Joseph Izraelevitz, Lingxiang Xiang, and Michael L. Scott. Performance improvement via always-abort HTM. In: 12th ACM SIGPLAN Wkshp. on Transactional Computing. TRANSACT ’17. Austin, TX, USA, 2017.
Joseph Izraelevitz, Alex Kogan, and Yossi Lev. Implicit acceleration of critical sections via unsuccessful speculation. In: 11th ACM SIGPLAN Wkshp. on Transactional Computing. TRANSACT ’16. Barcelona, Spain, 2016.
Joseph Izraelevitz, Hammurabi Mendes, and Michael L Scott. Brief announcement: Preserving happens- before in persistent memory. In: 28th ACM Symp. on Parallelism in Algorithms and Architectures. SPAA’16. Asilomar Beach, CA, USA, 2016.
Joseph Izraelevitz and Michael L. Scott. Brief announcement: A generic construction for nonblocking dual containers. In: 2014 ACM Symp. on Principles of Distributed Computing. PODC ’14. Paris, France, 2014.
Joseph Izraelevitz and Michael L. Scott. Brief announcement: Fast dual ring queues. In: 26th ACM Symp. on Parallelism in Algorithms and Architectures. SPAA ’14. Prague, Czech Republic, 2014.
Patents and Patent Applications
Virendra Marathe and Joseph Izraelevitz. Systems and methods for constructing composable persistent data structures. Patent US10007581B2. Oracle International Corporation. US, 2018.
Terence Kelly, Charles B. Morrey, Dhruva Chakrabarti, Aasheesh Kolli, Qiong Cai, Andrew C. Walton, and Joseph Izraelevitz. Register store. Patent application filed. Hewlett Packard Enterprise. US, 2016.
Faisal Nawab, Joseph Izraelevitz, Terence Kelly, Charles B. Morrey, and Dhruva Chakrabarti. Memory system to access uncorrupted data. Patent application filed. Hewlett Packard Enterprise. US, 2016.
Joseph Izraelevitz, Terence Kelly, Aasheesh Kolli, and Charles B. Morrey. Resuming execution in response to failure. Patent application filed (WO2017074451). Hewlett Packard Enterprise. US, 2015.
Unrefereed Publications (TRs, theses, etc.)
George Hodgkins*, Mark Madler*, and Joseph Izraelevitz. Loco: Rethinking objects for network memory. In: arXiv preprint arXiv:2503.19270, 2025. *Advisee (PhD).
Ange-Thierry Ishimwe, Raghuveer Shivakumar**, Heewoo Kim†, Tamara Lehman, and Joseph Izraelevitz. Prediprune: Reducing verification overhead in souper with machine learning driven pruning. In: arXiv preprint arXiv:2509.16497, 2025. **Advisee (Master’s). †Advisee (PostDoc).
Joseph Izraelevitz, Jian Yang, Lu Zhang, Amirsaman Memaripour, Yun Joon Soh, Subramanya R. Dul- loor, Jishen Zhao, Juno Kim, Xiao Liu, Zixuan Wang, Yi Xu, and Steven Swanson. Basic performance measurements of the intel optane dc persistent memory module. In: arXiv preprint arXiv:1903.05714, 2019.
Jian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz, and Steven Swanson. An empirical guide to the behavior and use of scalable persistent memory. In: arXiv preprint arXiv:1908.03583, 2019.
Joseph Izraelevitz. Concurrency implications of nonvolatile byte-addressable memory. Ph.D. Thesis. De- partment of Computer Science, University of Rochester, 2018.
Joseph Izraelevitz and Michael L. Scott. A generic construction for nonblocking dual containers. Technical report (TR 992). Department of Computer Science, University of Rochester, 2014.
Joseph Izraelevitz and Michael L. Scott. Fast dual ring queues. Technical report (TR 990). Department of Computer Science, University of Rochester, 2014.
Joseph Izraelevitz. Automated archaeological survey of ancient irrigation canals. Master’s Thesis. Department of Computer Science, Washington University in St. Louis, 2009.
Joseph Izraelevitz. Poster presentation: Analyzing software dependencies on supercomputers with REV. In: Los Alamos National Laboratory Student Symp. Los Alamos, NM, USA, 2007.