Performance Evaluation of the Intel Optane DC Memory With Scientific Benchmarks

Mironov, Vladimir; Chernykh, Igor; Kulikov, Igor; Moskovsky, Alexander; Epifanovsky, Evgeny; Kudryavtsev, A. A.

doi:10.1109/mchpc49590.2019.00008

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…Since the availability of DCPMM, there are some initial studies of data placement in real DRAM+DCPMM systems. Some authors studied the system performance of DCPMM [39], [56], [32], [14], and others have manually modified data placement in either mini or real applications and evaluated the performance benefits in DRAM+DCPMM systems [37], [52], [43], [29], [51], [58]. Finally, recent profiling-based proposals to guide or automate static data placement have already been implemented and evaluated with real DCPMM [9], [38].…”

Section: Tiered Page Placement With Dcpmmmentioning

confidence: 99%

Dynamic Page Placement on Real Persistent Memory Systems

Marques¹,

Kuzmin²,

Barreto³

et al. 2021

Preprint

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As persistent memory (PM) technologies emerge, hybrid memory architectures combining DRAM with PM bring the potential to provide a tiered, byte-addressable main memory of unprecedented capacity. Nearly a decade after the first proposals for these hybrid architectures, the real technology has finally reached commercial availability with Intel Optane™ DC Persistent Memory (DCPMM). This raises the challenge of designing systems that realize this potential in practice, namely through effective approaches that dynamically decide at which memory tier should pages be placed.In this paper, we are the first, to our knowledge, to systematically analyze tiered page placement on real DCPMM-based systems. To this end, we start by revisiting the assumptions of state-of-the-art proposals, and confronting them with the idiosyncrasies of today's off-the-shelf DCPMM-equipped architectures. This empirical study reveals that some of the key design choices in the literature rely on important assumptions that are not verified in present-day DRAM-DCPMM memory architectures.Based on the lessons from this study, we design and implement HyPlacer, a tool for tiered page placement in off-the-shelf Linux-based systems equipped with DRAM+DCPMM. In contrast to previous proposals, HyPlacer follows an approach guided by two main practicality principles: 1) it is tailored to the performance idiosyncrasies of off-theshelf DRAM+DCPMM systems; and 2) it can be seamlessly integrated into Linux with minimal kernel-mode components, while ensuring extensibility to other HMAs and other data placement policies. Our experimental evaluation of HyPlacer shows that it outperforms both solutions proposed in past literature and placement options that are currently available in off-the-shelf DCPMM-equipped Linux systems, reaching an improvement of up to 11x when compared to the default memory policy in Linux.

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Section: Tiered Page Placement With Dcpmmmentioning

confidence: 99%

Dynamic Page Placement on Real Persistent Memory Systems

Marques¹,

Kuzmin²,

Barreto³

et al. 2021

Preprint

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“…For the Intel Optane DC Persistent DIMM, the device is integrated into the system with a DIMM-based interface, similar to DRAM devices. The system directly accesses the device using load/store requests at the byte granularity [95,106,[178][179][180][181][182][183][184]. This configuration provides a much lower access latency, on the order of hundreds of nanoseconds (around 169 ns for sequential reads [95,184]), but comes at a high cost, 5× the cost of the Intel Optane SSD in dollars-per-bit [104,185].…”

Section: Intel Optane Ssdmentioning

confidence: 99%

Extending Memory Capacity in Consumer Devices with Emerging Non-Volatile Memory: An Experimental Study

F.¹,

Ghose²,

Gómez-Luna³

et al. 2021

Preprint

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“…A er the recent release of PMem, initial e orts on performance characterization of the device have been started [6,8,18,23,29,30], which also motivates the performance evaluations of PMem in di erent applications, e.g. B-tree performance evaluations [20], scienti c benchmark evaluations [22], power usage evaluations [23], hybrid memory system evaluations [17], integer compression schemes [31] and some initial database workload evaluations on PMem [18]. ere are also some other initial studies on how to close the latency gap between DRAM and PMem in latency-sensitive operations [24], how to provide e cient I/O primitives with PMem [26], how to design be er page replacement policy with PMem [21] and how to e ciently provide replication mechanisms with PMem [32].…”

Section: Related Workmentioning

confidence: 99%

Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS

Wu¹,

Park²,

Sen³

et al. 2020

Preprint

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Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices (e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory. is unique combination of features open up several new design considerations when building database management systems (DBMSs), such as replacing DRAM (as the main working space memory) or block devices (as the persistent storage), or complementing both at the same time for several DBMS components (such as access methods, storage engine, bu er management, logging/recovery, etc).However, interacting with NVM requires changes to application so ware to best use the device (e.g. mmap and clflush of small cachelines instead of write and fsync of large page bu ers). Before introducing (potentially major) code changes to the DBMS for NVM, developers need a clear understanding of NVM performance in various conditions to help make be er design choices.In this paper, we provide extensive performance evaluations conducted with a recently released NVM device, Intel Optane DC Persistent Memory (PMem), under di erent con gurations with several micro-benchmark tools. Further, we evaluate OLTP and OLAP database workloads (i.e., TPC-C and TPC-H) with Microso SQL Server 2019 when using the NVM device as an in-memory bu er pool or persistent storage. From the lessons learned we share some recommendations for future DBMS design with PMem, e.g. simple hardware or so ware changes are not enough for the best use of PMem in DBMSs.

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Performance Evaluation of the Intel Optane DC Memory With Scientific Benchmarks

Cited by 10 publications

References 22 publications

Dynamic Page Placement on Real Persistent Memory Systems

Dynamic Page Placement on Real Persistent Memory Systems

Extending Memory Capacity in Consumer Devices with Emerging Non-Volatile Memory: An Experimental Study

Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS

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