TVB C++: A Fast and Flexible Back-End for The Virtual Brain
Ignacio Mart\'in, Gorka Zamora, Jan Fousek, Michael Schirner, Petra, Ritter, Viktor Jirsa, Gustavo Deco, Gustavo Patow

TL;DR
TVB C++ is a high-performance, flexible C++ back-end designed for The Virtual Brain platform, enabling faster large-scale brain simulations while maintaining ease of use and compatibility.
Contribution
The paper presents TVB C++, a new C++ back-end that significantly improves simulation speed and scalability for The Virtual Brain platform.
Findings
Enhanced simulation speed for large-scale brain models
Seamless integration with existing TVB workflows
Supports parallel computing and supercomputing environments
Abstract
This paper introduces TVB C++, a streamlined and fast C++ Back-End for The Virtual Brain (TVB), a renowned platform and a benchmark tool for full-brain simulation. TVB C++ is engineered with speed as a primary focus while retaining the flexibility and ease of use characteristic of the original TVB platform. Positioned as a complementary tool, TVB serves as a prototyping platform, whereas TVB C++ becomes indispensable when performance is paramount, particularly for large-scale simulations and leveraging advanced computation facilities like supercomputers. Developed as a TVB-compatible Back-End, TVB C++ seamlessly integrates with the original TVB implementation, facilitating effortless usage. Users can easily configure TVB C++ to execute the same code as in TVB but with enhanced performance and parallelism capabilities.
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Taxonomy
TopicsCCD and CMOS Imaging Sensors · Brain Tumor Detection and Classification · Parallel Computing and Optimization Techniques
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings · Focus
