The Virtual Reality Laboratory
The Virtual Reality Laboratory at the Universidad de Ingeniería y Tecnología – UTEC (UTEC-VRL) is supported by the WorldViz virtual reality system, making it the first facility of this kind deployed in Peru and Latin América. With the WordViz virtual reality system, the UTEC-VRL is on a par with North American WorldViz customers such as Harvard and Stanford University.
The VR Locomotion Lab is equipped with VizMove All-In-One Bundle, a Walking VR combined with Projection VR, which includes:
- WorldViz Vizard Enterprise software licenses (2).
- WorldViz PPT 8-sensor wide area motion tracking system with PPT Studio software, calibration rigs (2), sensor mounting brackets (8), network switches and cables.
- WorldViz Wireless Navigation and Interaction Wand Controllers (2).
- WorldViz Wireless Tracking Devices for head and body-motion (16).
The VizMove virtual reality system allows teachers and students to turn a classroom into an interactive immersive learning space. It allows users to simulate different environments; from training in medical rooms to evaluate biomechanical prototypes, to assembling heavy machinery in a mechanical workshop. The UTEC-VRL also outlines the VR simulations designed for investigating the spatial cognition in underground navigation for the mining industry in Perú.
Moving at scale, the WorldViz system enables the participants to feel the full immersion while minimizing the motion sickness, which is the most frequently experienced problem with VR.
The UTEC VRL offers Python Bootcamp powered by VR to train future VR programmers. It is also open for inter institutional collaboration in research.
For more information contact Dr. Wangdo Kim at: firstname.lastname@example.org
High Performance Computing Laboratory (LC-AR)
The UTEC High Performance Computing Laboratory (LC-AR) has the mission of facilitating access to cutting-edge computing technology to students, teachers and researchers. It has a HP cluster called “KHIPU” that works with the Slurm Worlkoad Manager task management system and has the following nodes:
- Leader node (1): Where users log in and schedule jobs (Cores: 40) (RAM: 128) (Disk: 7104 GB)
- CPU node (5): In charge of processing a large part of the calculations (Cores: 160) (RAM: 960) (Disk: 4800 GB)
- GPU node (1): Parallel calculation processing (Cores: 40) (RAM: 128) (Disk: 480 GB)
The LC-AR provides services to the entire university community and external collaborators that are part of our research projects. For more information, please write to email@example.com.