Synergistic Memory Systems for Terascale Processors

Seminar | IST ALAMEDA - Room 0.19 informática II | 13:30

Mattan Erez ,

University of Texas at Austin


Processors with access to terabytes of memory are already here and architectures and systems are poorly prepared. Such memory systems are large and heterogeneous and this complexity hurts performance, especially when considering diverse colocated workloads. The only way to address this problem is better cross-layer architecture mechanisms that exploit synergies between applications, system software, and memory characteristics. I will discuss several examples of such synergy with a focus on memory management, memory compression, and quality of service


Mattan Erez is a Professor at the Department of Electrical and Computer Engineering at the University of Texas at Austin. His research focuses on improving the performance, efficiency, and scalability of computing systems through advances in memory systems, hardware architecture, software systems, and programming models. His current focus areas are architectures for machine learning, large-scale and high-performance computing, and memory systems. His work aims to improve cooperation across system layers and develop flexible and adaptive mechanisms for proportional resource usage. Mattan received a BSc in Electrical Engineering and a BA in Physics from the Technion, Israel Institute of Technology and his MS and PhD. in Electrical Engineering from Stanford University. He was awarded a Presidential Early Career Award for Scientists and Engineers from President Obama and received an Early Career Research Award from the Department of Energy and an NSF CAREER Award

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