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Lawrence Rauchwerger

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  • Generating Memory Allocators from the Ground Up

    Pastaryev, P., Mendis, C. & Rauchwerger, L., 2026, Languages and Compilers for Parallel Computing - 36th International Workshop, LCPC 2023, Revised Selected Papers. Dietz, H. (ed.). Springer, p. 160-173 14 p. (Lecture Notes in Computer Science; vol. 14480 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning to Harness In-Vitro Biological Neural Networks

    Gressmann, F. & Rauchwerger, L., 2025, Lecture Notes in Computer Science. Springer, p. 78-89 12 p. (Lecture Notes in Computer Science; vol. LNCS 14564).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Position: It Is TimeWe Test Neural Computation In Vitro

    Gressmann, F., Chen, A., Xie, L. H., Amato, N. M. & Rauchwerger, L., 2025, In: Proceedings of Machine Learning Research. 267, p. 81393-81409 17 p.

    Research output: Contribution to journal › Conference article › peer-review

  • Automatic Task Parallelization of Dataflow Graphs in ML/DL Models

    Das, S. & Rauchwerger, L., 2024, Proceedings - 2024 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2024. Institute of Electrical and Electronics Engineers Inc., p. 728-739 12 p. (Proceedings - 2024 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Preface

    Mendis, C. & Rauchwerger, L., 2023, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 13829 LNCS

    Research output: Contribution to journal › Editorial › peer-review

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