Distributed and Parallel Computing Systems
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Abstract
Abstract
ABSTRACT This paper evaluates the C++ Sender Programming Model for heterogeneous parallel computing, using an Agent‐Based epidemiological simulator as a case study. Conventional simulations rely on proprietary frameworks like CUDA , creating vendor lock‐in . To assess the Sender Model as a portable alternative, we implement an SEIRS dengue simulator that assigns tasks to CPU or GPU . Asynchronous execution is 3.8 times faster than synchronous methods. Our analysis also identified bottlenecks such as GPU stalls from memory operations and stochastic workloads, informing future optimization efforts.
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@article{Hugen2026Using,
title = {Using the C++ Sender Asynchronous Programming Model in the Implementation of Efficient Epidemiological Simulations},
author = {Pablo Alessandro Santos Hugen and Guilherme Galante and Rogério Luís Rizzi},
journal = {Concurrency and Computation Practice and Experience},
year = {2026},
doi = {10.1002/cpe.70864},
url = {https://doi.org/10.1002/cpe.70864}
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