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At the University of the Philippines Los Baños (UPLB), research in parallel and high-performance computing drives innovation in many scientific disciplines.
Our faculty and students work on cutting-edge projects that address the most challenging computational problems of our time. From designing parallel systems for machine learning to developing efficient scheduling algorithms, our research advances the field by developing scalable, efficient, and practical solutions.
This page presents our publications and conference presentations, showcasing our contributions to the broader research community.
As our research community continues to explore the vast landscape of High Performance Computing (HPC)—which encompasses parallel, distributed, and cluster computing—we find ourselves not just solving computational problems but expanding the very horizons of what machines can achieve together. Over the years, we have developed methods, frameworks, and systems that accelerate computation, balance loads intelligently, and simulate complex phenomena with unprecedented precision.
To help readers and collaborators navigate the breadth of our contributions, we have organized our publications into five thematic groups that reflect the evolving directions of our research. Each group represents a distinctive strand of inquiry that, together, forms the tapestry of our collective effort in advancing HPC:
Intelligent Load Balancing and Scheduling in Parallel and Cluster Systems — exploring how adaptive, agent-based, and learning-driven techniques distribute computation efficiently across nodes.
Distributed and Web-Based Grid Computing Systems — designing lightweight and accessible distributed infrastructures that transform everyday machines into cooperative computational platforms.
Parallel Simulation and Computational Modeling — applying high performance techniques to simulate natural and artificial systems, from chemical reactors to quantum wavepackets.
Synchronization and Coordination in Distributed Networks — addressing the foundational challenges of keeping parallel processes coherent and synchronized across diverse environments.
HPC Applications in Education and Network Systems — showcasing how HPC technologies enhance domains like e-learning and networked content distribution.
Each of these research streams has its own dedicated page, where individual publications are listed and contextualized within their specific scientific contributions. Together, they embody our pursuit of scalable performance, adaptive computation, and collaborative discovery—the enduring spirit of High Performance Computing.
Our presentations at scientific conferences provide a platform for UPLB researchers to share their latest findings, exchange ideas, and collaborate with the global research community.
These conferences play a crucial role in advancing the field by encouraging cross-disciplinary interactions and providing insight into future trends in parallel computing.
Synchronizing a Network of Clocks (Invited Paper)
J.P. Pabico
2016 Mathematical Society of the Philippines CALABARZON Annual Regional Convention (MSPC 2016)
De La Salle - Dasmariñas, Dasmariñas City, Cavite, 21-22 July 2016
Self-routing in Out-shuffle and In-Shuffle Omega Networks
D.P.Y. Barfeh and J.P. Pabico
2016 Mathematical Society of the Philippines CALABARZON Annual Regional Convention (MSPC 2016)
De La Salle - Dasmariñas, Dasmariñas City, Cavite, 21-22 July 2016
Cycles of Combination 2-way Perfect Shuffles
J.P. Pabico and D.P.Y. Barfeh
8th UPLB CAS Student-Faculty Research Conference (SFRC 2015)
NCAS, UPLB, 16 November 2015
The set of (N/2i)-distance graphs of CN and its application to efficient information broadcast among N nodes over KN
J.P. Pabico
2015 Mathematical Society of the Philippines CALABARZON Annual Convention and General Assembly (MSPC 2015)
UPLB, Los Baños, Laguna, 18 July 2015
doi: 10.7287/peerj.preprints.1372v1
Structural Properties of Twisted Cylinders and Twisted Tori
J.P. Pabico
2015 UPLB GS Student Leadership and Research Conference
SEARCA, Los Baños, Laguna, 16 May 2015
O(Log N) Broadcast in ad hoc Clock Networks
K.J.H. Magno, M.Y.B. de Robles and J.P. Pabico
2014 Mathematical Society of the Philippines (MSP) Annual Convention
Sarabia Manor Hotel and Convention Center, Iloilo City, 26-27 May 2014
Dynamically Assigning Independent Jobs to Parallel Workers
J.P. Pabico
2013 Mathematical Society of the Philippines (MSP) Annual Convention
Puerto Princesa City, Palawan, 17-18 May 2013
Broadcast and Reduction Over Some Regular Networks: Algorithms, Costs, and Applications
F.E.V.G. Castro and J.P. Pabico
2013 Mathematical Society of the Philippines (MSP) Annual Convention
Puerto Princesa City, Palawan, 17-18 May 2013
Practical Comparison of Apache Load Balancing Policies for a Lightweight Distributed Desktop Web-Grid
M.Y.B. de Robles, Z.O. Arnejo and J.P. Pabico
10th National Conference on Information Technology Education (NCITE 2012)
Laoag City, Ilocos Norte, 18-20 October 2012
Parallel Modeling and Analysis of Hydrologic Flow Routing Algorithms
J.P. Pabico
2007 International Workshop on Modeling, Simulation, and Scientific Computing (MODEL 2007)
Boracay Regency Beach Resort and Convention Center, Boracay, Philippines, 25-28 February 2007
Parallel Implementation of the D8 Flow Routing Algorithm in a Geographic Information System
J.P. Pabico
CAS 2nd Symposium on Collaborative Research on the Environment
CAS, UPLB, 7 December 2006
Quantum Trajectories with Dynamic Loop Scheduling and Reinforcement Learning
R.L. Cariño, I. Banicescu, J.P. Pabico and M. Rashid
IEEE International Conference on Cluster Computing (Cluster 2005)
Burlington, Massachusetts, USA, 26-30 September 2005
Through these presentations, our faculty and students contribute to the ongoing dialogue in parallel computing, helping to shape the future of computational systems worldwide.
Our research efforts are not just about publishing papers or delivering presentations; they’re about fostering collaboration and advancing knowledge in the service of solving the world's most complex computational challenges.
As we continue to expand our research in parallel computing, we remain committed to pushing the limits of technology and fostering the next generation of computational innovators.
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