5200 N Lake Rd, Merced, CA 95343

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Fall 2021 Electrical Engineering and Computer Science (EECS) Seminar Series


"Enabling Big Memory Applications with Memory Heterogeneity"

Jie Ren

UC Merced


Faculty Host: Prof. Dong Li


The memory system has been evolving in a fast pace recently, driven by the emergence of large-scale applications and the advance of hardware technology. This trend calls for the birth of memory systems with extreme heterogeneity, which combines multiple memory technologies with different latency, bandwidth, and capacity to construct main memory. The heterogeneity of memory systems brings a substantial disparity in the performance and efficiency, making the decision of which technology to use at what times intricate.

This talk will discuss how to efficiently use heterogeneous memory systems for big memory applications. First, I will show how to use heterogeneous memory to enable large-scale plasma simulations on a single machine at unprecedented scales. Second, I will show how to train multi-billion parameter models with limited GPU resources by exploring the usage of heterogeneous memory.


Speaker Bio:
Jie Ren is a PhD candidate in Electrical Engineering and Computer Science at UC Merced advised by Prof. Dong Li. Her research focuses on developing practical techniques to solve memory management issues in parallel computing systems, particularly in developing runtime support on heterogeneous memory systems.

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