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Imparcialidade, o quê? episode artwork

Mar 12, 2022 3 min

Imparcialidade, o quê?

from Prof. Diego Luz Hosted by Diego Luz Santos

Podcast introdutório para aula sobre mito da imparcialidade.

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Imparcialidade, o quê?

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Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK Prof. Dr. Tilmann Rabl The Lecture Series on Practical Data Engineering will feature presentations by distinguished speakers from industry and academia on the topic of data engineering. We will cover topics on the application of data engineering in industrial setups as well as system level advancements in data engineering research. San Diego Mortgage Podcast with Abel Tejeda Abel Tejeda Home loans in San Diego can be complex, but that doesn’t mean you should sign on the dotted line without explanations. Mauricio Cardenas Podcast Mauricio Cardenas Mauricio Cardenas Podcast, es una selección del mejor contenido que como periodista y educador financiero, creo y comparto todos los días. Soy consultor en ahorro e inversiones, experto en becas y college y en el programa de radio Cuenta Conmigo, mi propósito es lograr que la comunidad latina en los Estados Unidos le saque el mejor provecho posible al dinero que con tanto esfuerzo se gana. Me puedes escuchar también a las 5pm en Radio Inspiración Los Angeles 1390 AM, San Diego 1130 AM y San Bernardino 1290 AM. LiveStream en @MauricioCardenasOficial Hardware-Conscious Data Processing (ST 2023) - tele-TASK Prof. Dr. Tilmann Rabl Hardware development continuously advances, with different technologies improving at different pace. While the amount of transistors in a CPU package are growing, the single core performance is stagnating due to physical limitations. These trends require changes in data processing to keep database management systems efficient. In this lecture, we will take a look at current computer architectures and accelerator technologies and how they can be used for efficient data processing. We will cover CPU and memory architecture; the storage hierarchy; modern memory technolgoies, such as NVM and NVMe; fast interconnects, such as Infiniband, RDMA, and NVLink; and accelerators, such as GPUs and FPGAs. The course has a significant practical part, where the students learn to implement data structures and algorithms tailored to hardware concious data processing.

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