J-NVM

Lefort, Anatole; Pipereau, Yohan; Amponsem, Kwabena; Sutra, Pierre; Thomas, Gaël

doi:10.1145/3477132.3483579

Cited by 3 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Fault tolerance programming (NVthreads [47], ResPCT [71], J-NVM [78], Plinius [140]) Through all of these examples, some general remarks can be done about the use of Intel's implementation of persistent memory.…”

Section: Lessons Learnedmentioning

confidence: 99%

Towards new memory paradigms : integrating non-volatile main memory and remote direct memory access in modern systems

Dulong

View full text Add to dashboard Cite

Modern computers are built around two main parts: their Central Processing Unit (CPU), and their volatile main memory, or Random Access Memory (RAM). The basis of this architecture takes its roots in the 1970's first computers. Since, this principle has been constantly upgraded to provide more functionnality and performance.In this thesis, we study two memory paradigms that drastically change the way we can interact with memory in modern systems: non-volatile memory and remote memory access. We implement software tools that leverage them in order to make them compatible and exploit their performance with concrete applications. We also analyze the impact of the technologies underlying these new memory medium, and the perspectives of their evolution in the coming years.For non-volatile memory, as the main memory performance is key to unlock the full potential of a CPU, this feature has historically been abandoned on the race for performance. Even if the first computers were designed with non-volatile forms of memory, computer architects started to use volatile RAM for its incomparable performance compared to durable storage, and never questioned this decision for years. However, in 2019 Intel released a new component called Optane DC Persistent Memory (DCPMM), a device that made possible the use of Non-Volatile Main Memory (NVMM). That product, by its capabilities, provides a new way of thinking about data persistence. Yet, it also challenges the hardware architecture used in our current machines and the way we program them.With this new form of memory we implemented NVCACHE, a cache designed for non-volatile memory that helps boosting the interactions with slower persistent storage medias, such as Solid State Drive (SSD). We find NVCACHE to be quite performant for workloads that require a high granularity of persistence guarantees, while being as easy to use as the traditional POSIX interface. Compared to file systems designed for NVMM, NVCACHE can reach similar or higher throughput when the non-volatile memory is used. In addition, NVCACHE allows the code to exploit NVMM performance while not being limited by the amount of NVMM installed in the machine.Another major change of in the computer landscape has been the popularity of distributed systems. As individual machines tend to reach performance limitations, iii

show abstract

Section: Lessons Learnedmentioning

confidence: 99%

Towards new memory paradigms : integrating non-volatile main memory and remote direct memory access in modern systems

Dulong

View full text Add to dashboard Cite

show abstract

Accelerating Multilingual Applications with In-memory Array Sharing

Nozawa,

Imamura,

Kono

2023

2023 IEEE International Conference on Big Data (BigData)

View full text Add to dashboard Cite

Transparent and lightweight object placement for managed workloads atop hybrid memories

2022

Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments

View full text Add to dashboard Cite

Managed workloads show strong demand for large memory capacity, which can be satisfied by a hybrid memory sub-system composed of traditional DRAM and the emerging non-volatile memory (NVM) technology. Nevertheless, NVM devices are limited by deficiencies like write endurance and asymmetric bandwidth, which threatens managed applications' performance and reliability. Prior work has proposed different object placement mechanisms to mitigate problems introduced by NVM, but they require domain-specific knowledge on applications or significant change on managed runtime. By analyzing the performance of representative data-intensive workloads atop NVM, this paper finds that reducing write operations is key for performance and wear-leveling. To this end, this paper proposes GCMove, a transparent and efficient object placement mechanism for hybrid memories. GCMove embraces a lightweight write barrier for write detection and relies on garbage collections (GC) to copy objects into different devices according to their write-related behaviors. Compared with prior work, GCMove does not require significant changes in heap layout and thus can be easily integrated with mainstream copy-based garbage collection. The evaluation on various managed workloads shows that GCMove can eliminate 99.8% of NVM write operations on average and improve the performance by up to 19.81× compared with the NVM-only version.

show abstract

J-NVM

Cited by 3 publications

References 30 publications

Towards new memory paradigms : integrating non-volatile main memory and remote direct memory access in modern systems

Towards new memory paradigms : integrating non-volatile main memory and remote direct memory access in modern systems

Accelerating Multilingual Applications with In-memory Array Sharing

Transparent and lightweight object placement for managed workloads atop hybrid memories

Contact Info

Product

Resources

About