SC22 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

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Position Paper: A Quantitative Approach for Guiding Data Management on Complex Memory Architectures


Workshop: Second International Symposium on Quantitative Codesign of Supercomputers

Authors: Brandon Kammerdiener (University of Tennessee)


Abstract: Recent trends have led to an increased reliance on more diverse and heterogeneous device technologies to continue performance scaling. As a result, many supercomputers now include memory systems with multiple types of memory storage, each with different power, performance, and capacity characteristics. The community urgently needs new strategies to adapt mission critical applications to such complex memory architectures. In this talk, we will describe a quantitative approach that leverages lightweight application monitoring to derive and enforce effective runtime management for complex memory platforms, without requiring any developer effort or even recompilation of target programs. Additionally, we will present an evaluation that shows our approach can enable substantial performance benefits for a variety of memory intensive applications on real and complex memory hardware.


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