Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications

Liu, Dong; Vetter, Jeffrey S.; Marin, Gabriel; McCurdy, Collin; Cira, Cristian; Liu, Zhuo; Yu, Weikuan

doi:10.1109/ipdps.2012.89

Cited by 57 publications

(42 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Closest to our work is the work of Li et al [18] who explore the use of NVM for scientific applications. They utilize several heuristics to place data on either type of memory, leading to 27% power savings.…”

Section: Related Workmentioning

confidence: 99%

Software-managed energy-efficient hybrid DRAM/NVM main memory

Hassan

Vandierendonck

Nikolopoulos

2015

Proceedings of the 12th ACM International Conference on Computing Frontiers

View full text Add to dashboard Cite

This paper evaluates the viability of user-level software management of a hybrid DRAM/NVM main memory system. We propose an operating system (OS) and programming interface to place data from within the user application. We present a profiling tool to help programmers decide on the placement of application data in hybrid memory systems. Cycle-accurate simulation of modified applications confirms that our approach is more energy-efficient than state-of-the-art hardware or OS approaches at equivalent performance. Moreover, our results are validated on several candidate NVM technologies and a wide set of 14 benchmarks.The key observation behind this work is that, for the workloads we evaluated, application objects are too short-lived to motivate migration. Utilizing this property significantly reduces the hardware complexity of hybrid memory systems.

show abstract

Section: Related Workmentioning

confidence: 99%

Software-managed energy-efficient hybrid DRAM/NVM main memory

Hassan

Vandierendonck

Nikolopoulos

2015

Proceedings of the 12th ACM International Conference on Computing Frontiers

View full text Add to dashboard Cite

show abstract

“…To find the appropriate data structures for NVM, the community standard is to use the read/write ratio of the variables [15]. However, write access rate is as important as the read/write ratio, because a program may have high rates of both read and write.…”

Section: Methodsmentioning

confidence: 99%

“…Closest works to this are by Hassan et al [18] and Li et al [15]. Hassan et al [18] proposed a programming interface to place data within the user application.…”

Section: Related Workmentioning

confidence: 99%

Access pattern-aware data placement for hybrid DRAM/NVM

Erten¹

2017

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

Abstract:In recent years, increased interest in data-centric applications has led to an increasing demand for largecapacity memory systems. Nonvolatile memory (NVM) technologies enable new opportunities in terms of process-scaling and energy consumption, and have become an attractive memory technology that serves as a secondary memory at low cost. However, NVM has certain disadvantages for write references, due to its high dynamic energy consumption for writes and low bandwidth compared to DRAM writes. In this paper, we propose an access-aware placement of objects in the application code for two types of memories. Given the desired power savings and acceptable performance loss, our placement algorithm suggests candidate variables for NVM. We present an evaluation of the proposed technique on two applications and study the energy and performance consequences of different placements.

show abstract

“…In 2015, Intel Corp. and Micron Technology unveiled 3D XPoint -non-volatile memory technology expected to be up to 1,000 times faster than NAND, 10 times denser than DRAM with latency of tens of nanoseconds and possible to be used as system memory [20], [21]. With declared relatively low price and expected market release in 2016 [22] [25] and -independently -Brian Van Essen et al [26], but papers are based on single node analysis and are focused rather on extending system memory (heap, stack, global data segments) than speeding up I/O operations in a distributed environment. Active NVRAM for I/O staging proposed by S. Kannan et al [27], [28] benefits from NVRAM located within each computing node speeding access to PFS up.…”

Section: Related Workmentioning

confidence: 99%

A Parallel MPI I/O Solution Supported by Byte-addressable Non-volatile RAM Distributed Cache

Malinowski

Czarnul

Dorozynski³

et al. 2016

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Abstract-While many scientific, large-scale applications are data-intensive, fast and efficient I/O operations have become of key importance for HPC environments. We propose an MPI I/O extension based on in-system distributed cache with data located in Non-volatile Random Access Memory (NVRAM) available in each cluster node. The presented architecture makes effective use of NVRAM properties such as persistence and byte-level access behind the MPI I/O API. Another advantage of the proposed solution is making development of a parallel application easy and efficient as a programmer just needs to use the well known MPI I/O data model and API while efficient file access is automatically provided without a need for application level optimizations like avoiding frequent operations on a small data.Results of experiments obtained with three different applications suggest, that the extension significantly reduces file access time, especially for small I/O operations. By locating cache facilities on computing nodes, the extension decreases load of file system servers and makes I/O scalable.

show abstract

Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications

Cited by 57 publications

References 17 publications

Software-managed energy-efficient hybrid DRAM/NVM main memory

Software-managed energy-efficient hybrid DRAM/NVM main memory

Access pattern-aware data placement for hybrid DRAM/NVM

A Parallel MPI I/O Solution Supported by Byte-addressable Non-volatile RAM Distributed Cache

Contact Info

Product

Resources

About