Lune

MICRO2024顶会

A Mess of Memory System Benchmarking, Simulation and Application Profiling

Pouya Esmaili-Dokht, Francesco Sgherzi, Valéria Soldera Girelli, Isaac Boixaderas, Mariana Carmin, Alireza Monemi, Adrià Armejach, Estanislao Mercadal, Germán Llort, Petar Radojkovic, Miquel Moretó, Judit Giménez

2024年份
20被引次数
6顶会引用

摘要

The Memory stress (Mess) framework provides a unified view of the memory system benchmarking, simulation and application profiling.

The Mess benchmark provides a holistic and detailed memory system characterization. It is based on hundreds of measurements that are represented as a family of bandwidth-latency curves. The benchmark increases the coverage of all the previous tools and leads to new findings in the behavior of the actual and simulated memory systems. We deploy the Mess benchmark to characterize Intel, AMD, IBM, Fujitsu, Amazon and NVIDIA servers with DDR4, DDR5, HBM2 and HBM2E memory. The Mess memory simulator uses bandwidth-latency concept for the memory performance simulation. We integrate Mess with widelyused CPUs simulators enabling modeling of all high-end memory technologies. The Mess simulator is fast, easy to integrate and it closely matches the actual system performance. By design, it enables a quick adoption of new memory technologies in hardware simulators. Finally, the Mess application profiling positions the application in the bandwidth-latency space of the target memory system. This information can be correlated with other application runtime activities and the source code, leading to a better overall understanding of the application's behavior.

The current Mess benchmark release covers all major CPU and GPU ISAs, x86, ARM, Power, RISC-V, and NVIDIA's PTX. We also release as open source the ZSim, gem5 and OpenPiton Metro-MPI integrated with the Mess simulator for DDR4, DDR5, Optane, HBM2, HBM2E and CXL memory expanders. The Mess application profiling is already integrated into a suite of production HPC performance analysis tools.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper6

问问它们各自怎么用它

它引用的顶会 Paper3

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖