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Memory reduction using a ring abstraction over GPU RDMA for distributed quantum Monte Carlo solver., , , , , and . PASC, page 14:1-14:9. ACM, (2021)From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels., , , , , and . P3HPC@SC, page 89-99. IEEE, (2022)From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types., , , , and . ESPM2@SC, page 10-19. IEEE, (2022)Halide Code Generation Framework in Phylanx., , , , , and . Euro-Par Workshops, volume 13835 of Lecture Notes in Computer Science, page 32-45. Springer, (2022)Understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems., , , , and . Euro-Par Workshops, volume 13098 of Lecture Notes in Computer Science, page 456-467. Springer, (2021)Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL., , , and . IWOCL, page 8:1-8:12. ACM, (2023)Design and Analysis of the Network Software Stack of an Asynchronous Many-task System - The LCI parcelport of HPX., , and . SC Workshops, page 1151-1161. ACM, (2023)Tabulated Equations of State with a Many-tasking Execution Model., , , , and . IPDPS Workshops, page 1691-1699. IEEE, (2013)Asynchronous Execution of Python Code on Task-Based Runtime Systems., , , , , , , , , and 2 other author(s). ESPM2@SC, page 37-45. IEEE, (2018)Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus., , , and . eScience, page 143-150. IEEE Computer Society, (2007)