Matemática 2 ano correções de 23/11
from CPU Hosted by Marcia Marcinha
Aulas de Novembro
Embed this episode
No transcript yet.
Similar podcasts
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.
Hoos in STEM
STEM Advisor to the Provost at the University of Virginia
Host Ken Ono, STEM Advisor to the Provost, keeps his finger on the pulse of scientific and technological innovation at UVA. Hoos in STEM showcases the marvelous cornucopia of STEM at UVA, from the latest innovations to growth inside and outside the classroom.Our theme music is CPU by Apples in Stereo.
Frequently asked questions
How long is this episode of CPU?
This episode is 7 minutes long.
When was this CPU episode published?
This episode was published on November 27, 2020.
Can I download this CPU episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.