An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications

Weiland, Michele; Brunst, Holger; Quintino, Tiago; Johnson, Nick; Iffrig, Olivier; Smart, Simon D.; Herold, Christian; Bonanni, Antonino; Jackson, Adrian; Parsons, Mark

doi:10.1145/3295500.3356159

Cited by 52 publications

(33 citation statements)

References 17 publications

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“…They also explored the performance characteristics of Intel Optane DIMMs through both microbenchmarks and macrobenchmarks, and recommended a set of best practices to maximize the performance of this device [25] . Weiland et al explored the performance features of Intel Optane DCPMM and the impact on high-performance scientific applications in the context of performance, efficiency and usability in both Memory and App Direct modes [116] . A similar work was presented by Patil et al [115] They evaluated the performance characterization of DRAM-NVM hybrid memory systems for HPC applications using real DCPMM.…”

Section: Studies On Intel Optane Dcpmmsmentioning

confidence: 99%

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions

Liu

Chen

Jin

et al. 2021

J. Comput. Sci. Technol.

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Non-Volatile Main Memories (NVMMs) have recently emerged as a promising technology for future memory systems. Generally, NVMMs have many desirable properties such as high density, byte-addressability, non-volatility, low cost, and energy efficiency, at the expense of high write latency, high write power consumption, and limited write endurance. NVMMs have become a competitive alternative of Dynamic Random Access Memory (DRAM), and will fundamentally change the landscape of memory systems. They bring many research opportunities as well as challenges on system architectural designs, memory management in operating systems (OSes), and programming models for hybrid memory systems. In this article, we first revisit the landscape of emerging NVMM technologies, and then survey the state-of-the-art studies of NVMM technologies. We classify those studies with a taxonomy according to different dimensions such as memory architectures, data persistence, performance improvement, energy saving, and wear leveling. Second, to demonstrate the best practices in building NVMM systems, we introduce our recent work of hybrid memory system designs from the dimensions of architectures, systems, and applications. At last, we present our vision of future research directions of NVMMs and shed some light on design challenges and opportunities.

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Section: Studies On Intel Optane Dcpmmsmentioning

confidence: 99%

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions

Liu

Chen

Jin

et al. 2021

J. Comput. Sci. Technol.

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“…These works use emulated PM to demonstrate their functionality. Recent works are characterizing HPC applications on Optane [19,23,27,29,35,38,41]. Patil et.…”

Section: Related Workmentioning

confidence: 99%

Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy

Ren

Luo

et al. 2021

Proceedings of the ACM International Conference on Supercomputing

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Particle simulations of plasma are important for understanding plasma dynamics in space weather and fusion devices. However, production simulations that use billions and even trillions of computational particles require high memory capacity. In this work, we explore the latest persistent memory (PM) hardware to enable large-scale plasma simulations at unprecedented scales on a single machine. We use WarpX, an advanced plasma simulation code which is mission-critical and targets future exascale systems. We analyze the performance of WarpX on PM-based heterogeneous memory systems and propose to make the best use of memory hierarchy to avoid the impact of inferior performance of PM. We introduce a combination of static and dynamic data placement, and processor-cache prefetch mechanism for performance optimization. We develop a performance model to enable efficient data migration between PM and DRAM in the background, without reducing available bandwidth and parallelism to the application threads. We also build an analytical model to decide when to prefetch for the best use of caches. Our design achieves 66.4% performance improvement over the PM-only baseline and outperforms DRAM-cached, NUMA first-touch, and a state-of-the-art software solution by 38.8%, 45.1% and 83.3%, respectively. CCS CONCEPTS• Software and its engineering → Software performance.

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“…With the advent of new fast storage devices, researchers have done a lot of work to evaluate the performance of the applications working on new devices. Weiland et al [29] explore the performance of high-performance scientific applications working on DCPMMs in both Memory and App Direct modes. The evaluation results show that a larger memory capacity has better efficiency for scientific applications.…”

Section: Related Workmentioning

confidence: 99%

An Empirical Evaluation of NVM-Aware File Systems on Intel Optane DC Persistent Memory Modules

et al. 2021

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The emergence of non-volatile memories (NVM) brings new opportunities and challenges to data management system design. As an important part of the data management systems, several new file systems are developed to take advantage of the characteristics of NVM. However, these NVM-aware file systems are usually designed and evaluated based on simulations or emulations. In order to explore the performance and characteristics of these file systems on real hardware, in this article, we provide an empirical evaluation of NVM-aware file systems on the first commercially available byte-addressable NVM (i.e., the Intel Optane DC Persistent Memory Module (DCPMM)). First, to compare the performance difference between traditional file systems and NVM-aware file systems, we evaluate the performance of Ext4, XFS, F2FS, Ext4-DAX, XFS-DAX, and NOVA file systems on DCPMMs. To compare DCPMMs with other secondary storage devices, we also conduct the same evaluations on Optane SSDs and NAND-flash SSDs. Second, we observe how remote NUMA node access and device mapper striping affect the performance of DCPMMs. Finally, we evaluate the performance of the database (i.e., MySQL) on DCPMMs with Ext4 and Ext4-DAX file systems. We summarize several observations from the evaluation results and performance analysis. We anticipate that these observations will provide implications for various memory and storage systems.

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An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications

Cited by 52 publications

References 17 publications

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions

A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions

Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy

An Empirical Evaluation of NVM-Aware File Systems on Intel Optane DC Persistent Memory Modules

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