Academic Journal

Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations

التفاصيل البيبلوغرافية
العنوان: Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations
المؤلفون: Miguel Ángel Martínez-del-Amor, David Orellana-Martín, Ignacio Pérez-Hurtado, Francis George C. Cabarle, Henry N. Adorna
المصدر: Processes, Vol 9, Iss 690, p 690 (2021)
بيانات النشر: MDPI AG
سنة النشر: 2021
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: spiking neural P systems, simulation algorithm, sparse matrix-vector operations, compressed matrix representation, GPU computing, Chemical technology, TP1-1185, Chemistry, QD1-999
الوصف: To date, parallel simulation algorithms for spiking neural P (SNP) systems are based on a matrix representation. This way, the simulation is implemented with linear algebra operations, which can be easily parallelized on high performance computing platforms such as GPUs. Although it has been convenient for the first generation of GPU-based simulators, such as CuSNP, there are some bottlenecks to sort out. For example, the proposed matrix representations of SNP systems lead to very sparse matrices, where the majority of values are zero. It is known that sparse matrices can compromise the performance of algorithms since they involve a waste of memory and time. This problem has been extensively studied in the literature of parallel computing. In this paper, we analyze some of these ideas and apply them to represent some variants of SNP systems. We also provide a new simulation algorithm based on a novel compressed representation for sparse matrices. We also conclude which SNP system variant better suits our new compressed matrix representation.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2227-9717
Relation: https://www.mdpi.com/2227-9717/9/4/690; https://doaj.org/toc/2227-9717; https://doaj.org/article/0d5d8c10a9ae415e9f207b2fc1da5bdb
DOI: 10.3390/pr9040690
الاتاحة: https://doi.org/10.3390/pr9040690
https://doaj.org/article/0d5d8c10a9ae415e9f207b2fc1da5bdb
رقم الانضمام: edsbas.D8099188
قاعدة البيانات: BASE
الوصف
تدمد:22279717
DOI:10.3390/pr9040690