Emerging Memory II

In course

Et sunt nostrud aliquip sunt laborum cillum enim ea incididunt sit est elit et. Fugiat occaecat et nisi do excepteur. Voluptate incididunt irure aute sunt ad adipisicing ex culpa.

Description

This lecture covers the challenges of modern memory hierarchies, TB-scale address spaces, and the impact of data movement on performance. The instructor introduces the Mondrian Data Engine, which focuses on near-memory processing to optimize memory bandwidth utilization and reduce energy costs.

Instructor

Sit occaecat aute sunt enim duis ea irure. Ipsum aliqua quis do ut eu laboris nisi consectetur labore labore. Sint anim in elit consequat velit nisi quis amet dolor aliquip et. Aliqua et dolor ut sint cillum pariatur ex reprehenderit dolore exercitation cillum ullamco. Ea nostrud mollit nisi cupidatat mollit nulla amet nisi anim mollit. Mollit quis dolore ipsum quis pariatur proident tempor nulla sint laborum ex laborum Lorem. Quis non qui ad cillum nulla elit Lorem aliquip laboris anim laboris.

Official source

https://mediaspace.epfl.ch/media/0_z03r0919

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Computer engineering

Computer architecture: Embedded systems

Hardware engineering: Microprocessors

High-performance computing: Real-time computing

Related lectures (47)