Rethinking Memory System Design for Data-Intensive Computing

Data
23/10/20152015-10-22 22:00:00 2015-10-22 22:00:00 Rethinking Memory System Design for Data-Intensive Computing The memory system is a fundamental performance and energy bottleneck in almost all computing systems. Recent system design, application, and technology trends that require more capacity, bandwidth, efficiency, and predictability out of the memory system make it an even more important system bottleneck. At the same time, DRAM and flash technologies are experiencing difficult technology scaling challenges that make the maintenance and enhancement of their capacity, energy-efficiency, and reliability significantly more costly with conventional techniques.   In this talk, we examine some promising research and design directions to overcome challenges posed by memory scaling. Specifically, we discuss three key solution directions: 1) enabling new memory architectures, functions, interfaces, and better integration of the memory and the rest of the system, 2) designing a memory system that intelligently employs multiple memory technologies and coordinates memory and storage management using non-volatile memory technologies, 3) providing predictable performance and QoS to applications sharing the memory/storage system. If time permits, we might also briefly touch upon our ongoing related work in combating scaling challenges of NAND flash memory. An accompanying paper can be found here: http://users.ece.cmu.edu/~omutlu/pub/memory-systems-research_superfri14.pdf IC 3,5 - Sala 351 IC 3,5 - Sala 351 IC 3,5 - Sala 351 America/Sao_Paulo public
Horário
14:00 h
Local
IC 3,5 - Sala 351
Palestrante
Prof. Onur Mutlu (Carnegie Mellon University, USA)
Descrição

The memory system is a fundamental performance and energy bottleneck in almost all computing systems. Recent system design, application, and technology trends that require more capacity, bandwidth, efficiency, and predictability out of the memory system make it an even more important system bottleneck. At the same time, DRAM and flash technologies are experiencing difficult technology scaling challenges that make the maintenance and enhancement of their capacity, energy-efficiency, and reliability significantly more costly with conventional techniques.  

In this talk, we examine some promising research and design directions to overcome challenges posed by memory scaling. Specifically, we discuss three key solution directions: 1) enabling new memory architectures, functions, interfaces, and better integration of the memory and the rest of the system, 2) designing a memory system that intelligently employs multiple memory technologies and coordinates memory and storage management using non-volatile memory technologies, 3) providing predictable performance and QoS to applications sharing the memory/storage system. If time permits, we might also briefly touch upon our ongoing related work in combating scaling challenges of NAND flash memory.

An accompanying paper can be found here:
http://users.ece.cmu.edu/~omutlu/pub/memory-systems-research_superfri14.pdf

Sobre o Palestrante

Onur Mutlu is the Strecker Early Career Professor at Carnegie Mellon University. His broader research interests are in computer architecture and systems, especially in the interactions between languages, system software, compilers, and microarchitecture, with a major current focus on memory systems. He obtained his PhD and MS in ECE from the University of Texas at Austin and BS degrees in Computer Engineering and Psychology from the University of Michigan, Ann Arbor. Prior to Carnegie Mellon, he worked at Microsoft Research, Intel Corporation, and Advanced Micro Devices. He was a recipient of the IEEE Computer Society Young Computer Architect Award, Intel Early Career Faculty Award, faculty partnership awards from various companies, including Facebook, Google, HP, Intel, IBM, Microsoft and Samsung, a number of best paper recognitions at various computer systems venues, and a number of “computer architecture top pick” paper selections by the IEEE Micro magazine. For more information, please see his webpage at http://www.ece.cmu.edu/~omutlu.

Informações Adicionais

Responsável: Profa. Ariadne M. B. R. Carvalho
Email: ariadne@ic.unicamp.br
Fone: (19) 3521-5864
Instituto de Computação, Unicamp