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Using the C++ Sender Asynchronous Programming Model in the Implementation of Efficient Epidemiological Simulations

Year: 2026

Type: article

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.

Source: Concurrency and Computation Practice and Experience

DOI: 10.1002/cpe.70864

Authors: Pablo Alessandro Santos Hugen, Guilherme Galante, Rogério Luis Rizzi

Institutions: Universidade Federal do Rio Grande do Sul, Universidade Estadual do Oeste do Paraná

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $5,140

OpenAlex ID: W7170827042

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Cites: 11

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