| 27-12-2024 |
Enfriador de aire para centro de cómputos
El Instituto de Astrofísica de la PUC administra el centro de datos y computación de alto rendimiento. Este tiene grandes “clusters:” sistemas con decenas de nodos, más de 1500 núcleos de CPU, decenas de TB de RAM, cientos de TB de almacenamiento y decenas de Tflops en capacidad de procesamiento, y son usados 24/7 por investigadores de todo el país. Estos equipos generan grandes cantidades de calor que son expelidas a la habitación como aíre a unos 45 °C. La sala está tiene un sistema de climatización de 400.000 btu, el cual representa una fracción substancial del consumo eléctrico del centro. El aire al exterior del centro está la mayor parte del año a temperaturas menores que 45 °C. Surge la pregunta: ¿Podrá diseñarse un enfriador de aire para esta sala que elimine una fracción significativa del calor con poco consumo de electricidad disminuyendo entonces el consumo total e implicando una reducción de costos para el centro de datos? Contestar esa pregunta es el objetivo de esta IPre.
Prerequisitos:
ICM2223
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/1 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 27-12-2024 |
Air cooler for computer center
The PUC Institute of Astrophysics manages a data and high-performance computing center. It has large “clusters”: systems with dozens of nodes, more than 1,500 CPU cores, dozens of TB of RAM, hundreds of TB of storage and dozens of Tflops in processing capacity, which are used 24/7 by researchers from all over the country. These computers generate large amounts of heat that are expelled into the room as air at about 45 °C. The room has a 400,000 btu A/C system, which represents a substantial fraction of the center's electrical consumption. The air outside the center is at temperatures below 45 °C most of the year. The question arises: Can an air cooler be designed for this room that removes a significant fraction of the heat with little electricity consumption, thereby decreasing total consumption and implying a reduction in costs for the data center? The goal of this IPre is to answer this question.
Prerequisites:
ICM2223
Evaluation method: Nota 1-7, with 1/1 available vacants |
Mentor(s): Open in the plataform |
| 17-12-2024 |
CHACANA IV Project
There are crucial clues to the study of the Early Solar System in the myriad fragments of solid matter orbiting the Sun. When one of them hits Earth, the friction with the atmosphere heats it, causing the phenomena called “meteors.” If the fragment is large, it will survive and fall to Earth. That is a meteorite. The CHACANA Project aims to install and operate an all-sky camera network to detect meteors, triangulate their incoming paths, determine their origin orbits, connect them with a possible progenitor object, and estimate where the fragments fell for effective recovery. IPre IV builds on the previous ones. It will install the second camera in the network in San Francisco de Mostazal, work on the third, and produce the first triangulations.
Keywords:
modelamiento
control automático
análisis de datos
machine learning
Numerical method
Astronomia
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |