Parallel Simulation and Computational Modeling
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Simulating Reality, Accelerating Discovery
Simulating Reality, Accelerating Discovery
In science and engineering, the ability to simulate complex systems often determines how far we can see into the unknown. This research theme focuses on parallel simulation and computational modeling, where we use the power of concurrent computation to model physical, chemical, and biological processes at unprecedented scales. From simulating wavepacket dynamics in message-passing clusters to modeling artificial chemical reactors that solve multiple problems simultaneously, our work transforms high performance computation into a lens for scientific insight.
Parallelism allows us to bridge the gap between theoretical formulations and empirical understanding. By decomposing large systems into cooperative computational agents, we explore how natural phenomena—reaction kinetics, molecular interactions, particle trajectories—can be reimagined as distributed computational problems. Each processor becomes a microscopic experimenter, working in tandem with others to simulate the world as it unfolds.
Finding Solutions to Different Problems Simultaneously in a Multi-molecule Simulated Reactor
J.P. Pabico, M.C.A. Gendrano and J.R.L. Micor
Asia Pacific Journal of Multidisciplinary Research, vol 2, num 6, pp 133-143, December 2014
(P-ISSN 2350-7756, E-ISSN 2350-8442)Simulating the Trajectories of One-Dimensional Pseudoparticles with Parallel Agents
J.P. Pabico
Philippine Computing Journal, vol 4, num 2, pp 33-38, December 2009
(ISSN 1908-1995)Wavepacket Simulations in a Message-Passing Cluster Environment Using a Multi-agent-based Loop Scheduling
J.P. Pabico
Proceedings (CDROM ISSN 1656-2666) of the Samahang Pisika ng Pilipinas Volume 3. 24th SPP National Physics Congress
Ateneo de Davao University, Davao City, 25-27 October 2006Simultaneously Solving Computational Problems Using an Artificial Chemical Reactor
J.P. Pabico
R.P. Saldaña (ed.) Proceedings of the 6th Philippine Computing Science Congress (PCSC 2006) p. 48-53
Ateneo De Manila University, Loyola Heights, Quezon City, 28-29 March 2006
arXiv:1506.08361v1 [cs.ET, cs.NE] | PDF
From Models to Meaning
From Models to Meaning
Parallel simulation is more than a computational exercise—it is an act of scientific imagination. Our results show that when simulation scales, understanding deepens: what was once computationally impossible becomes experimentally testable, and what was once theoretical becomes observable. By continuing to refine our algorithms and leverage modern HPC architectures, we aim to accelerate not just computations but discovery itself.
Through parallelism, we do not merely model complexity—we make it comprehensible. In every simulated atom, molecule, or particle, there is a story of collaboration between computation and curiosity.
We simulate complexity so that discovery can run in parallel.
We simulate complexity so that discovery can run in parallel.
See more thematic paper groups:
Intelligent Load Balancing and Scheduling in Parallel and Cluster Systems
Distributed and Web-Based Grid Computing Systems
Parallel Simulation and Computational Modeling
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