Tesi etd-09042020-140441 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
YAGUBLU, AYTAN
URN
etd-09042020-140441
Titolo
Parallelization of Stochastic Simulation of Biochemical Reaction Systems on Multi-Core Processors
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Danelutto, Marco
Parole chiave
- C++ threads
- Domain Decomposition method
- FastFlow
- Gillespie's Direct Method
- Next Reaction Method
- Parallelization on CPUs
- Partition reactions into subdomains
- Rejection-based SSA
- SSA
- Stochastic Simulation Algorithms
Data inizio appello
09/10/2020
Consultabilità
Non consultabile
Data di rilascio
09/10/2090
Riassunto
The Gillespie’s Stochastic Simulation Algorithm (SSA) is a compact, computer-oriented Monte Carlo simulation procedure that is useful for modeling simulation of well-stirred biochemical systems. This thesis describes different sequential methods of SSA such as Direct Method, Next Reaction Method, Rejection based SSA and different methodologies of parallelization of these methods on CPUs. The thesis investigates different parallelization strategies and discusses experimental results on two states of the art multicore architectures.
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