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Publikationen

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  1. AnyQ: An Evaluation Framework for Massively-Parallel Queue Algorithms

    In: Proceedings of the 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS). IEEE International Parallel & Distributed …

  2. XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

    In: David Kaeli (Hrsg.). ACM Transactions on Architecture and Code Optimization (TACO), Vol. 20, No. 1, Pages 17:1-17:25, ACM, 12/2022.

  3. Xiang Xu; Lu Wang; Arsène Pérard-Gayot; Richard Membarth; Cuiyu Li; Chenglei Yang; Philipp Slusallek

    Temporal Coherence-Based Distributed Ray Tracing of Massive Scenes

    In: IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 30, No. 2, Pages 1489-1501, IEEE, 11/2022.

  4. André Müller; Bertil Schmidt; Richard Membarth; Roland Leißa; Sebastian Hack

    AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs

    In: Proceedings of the 36th ACM International Conference on Supercomputing (ICS). International Conference on Supercomputing (ICS-2022), June 27-30, …

  5. Puya Amiri; Arsène Pérard-Gayot; Richard Membarth; Philipp Slusallek; Roland Leißa; Sebastian Hack

    FLOWER: A Comprehensive Dataflow Compiler for High-Level Synthesis

    In: Proceedings of the 2021 International Conference on Field Programmable Technology (ICFPT). International Conference on Field Programmable …