HPC Programming Models
Our research in HPC programming models delves into cutting-edge techniques such as MPI (Message Passing Interface) and OpenMP (Open Multi-Processing) to optimize parallel computing on high-performance systems. By closely collaborating with leading international research institutions and US national labs, we stay at the forefront of emerging trends, including programming models for heterogeneous architectures like GPUs and FPGAs. This expertise allows us to develop innovative solutions that enable organizations to fully exploit the computational power of HPC systems, achieving significant performance gains and scalability.
Applied HPC
Our research in applied HPC focuses on solving complex real-world problems through the application of advanced algorithms and simulations. With a close relationship with international research communities and strong collaborations with US national labs, we tackle a wide range of challenges across domains such as computational fluid dynamics, materials science, and bioinformatics. By leveraging state-of-the-art HPC systems and optimizing computational workflows, we enable organizations to achieve breakthrough results, accelerate time-to-discovery, and drive innovation in their respective fields.
On the matter of integrations, experience with Python is expected as we intend to provide an outlook to expanding Python’s versatility with high performing algorithms for solving big data and large scale problems efficiently. Also, we would like to highlight that this trait is enormously appreciated in today’s development groups for its versatility in the process of building and commercializing multi-purpose applications for both academic and industrial sectors.
Analytics at Scale
Our research in analytics at scale focuses on data-intensive applications that leverage advanced technologies such as Dask, Apache Arrow, and Zarr for scientific simulation models. Collaborating closely with international research networks and US national labs, we explore the capabilities of these cutting-edge tools to handle large-scale datasets efficiently. By harnessing the power of distributed computing and optimizing data formats, we enable organizations to perform complex data analysis tasks with unprecedented speed and scalability, unlocking transformative insights and accelerating scientific discoveries.
Tech Reports
Our research initiatives focus on documenting and advancing the current landscape of high-performance computing, artificial intelligence infrastructure, and quantum information science in Colombia and the region. We investigate the state-of-the-art efforts undertaken by local universities, research centers, and national laboratories, mapping the communities and research groups actively engaged in HPC applications, AI infrastructure development, and quantum computing research. By synthesizing real-world information about computational capabilities, identifying research gaps, and fostering collaboration among academic and industrial stakeholders, we aim to establish a comprehensive understanding of regional computational science activities and catalyze strategic initiatives that strengthen Colombia's position in advanced computing research.