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Related papers: Intel Optane DCPMM and Serverless Computing

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Intel Optane DC Persistent Memory (Optane PMM) is a new kind of byte-addressable memory with higher density and lower cost than DRAM. This enables the design of affordable systems that support up to 6TB of randomly accessible memory. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-25 Gurbinder Gill , Roshan Dathathri , Loc Hoang , Ramesh Peri , Keshav Pingali

The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with…

In this prompt report, we present the basic performance evaluation of Intel Optane Data Center Persistent Memory Module (Optane DCPMM), which is the first commercially-available, byte-addressable non-volatile memory modules released in…

Performance · Computer Science 2020-06-24 Takahiro Hirofuchi , Ryousei Takano

Scalable nonvolatile memory DIMMs will finally be commercially available with the release of the Intel Optane DC Persistent Memory Module (or just "Optane DC PMM"). This new nonvolatile DIMM supports byte-granularity accesses with access…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-13 Joseph Izraelevitz , Jian Yang , Lu Zhang , Juno Kim , Xiao Liu , Amirsaman Memaripour , Yun Joon Soh , Zixuan Wang , Yi Xu , Subramanya R. Dulloor , Jishen Zhao , Steven Swanson

Scalable persistent memory (PM) has opened up new opportunities for building indexes that operate and persist data directly on the memory bus, potentially enabling instant recovery, low latency and high throughput. When real PM hardware…

Databases · Computer Science 2022-07-29 Yuliang He , Duo Lu , Kaisong Huang , Tianzheng Wang

As the High Performance Computing world moves towards the Exa-Scale era, huge amounts of data should be analyzed, manipulated and stored. In the traditional storage/memory hierarchy, each compute node retains its data objects in its local…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-07 Yehonatan Fridman , Yaniv Snir , Matan Rusanovsky , Kfir Zvi , Harel Levin , Danny Hendler , Hagit Attiya , Gal Oren

High performance computing (HPC) applications have a high requirement on storage speed and capacity. Non-volatile memory is a promising technology to replace traditional storage devices to improve HPC performance. Earlier in 2017, Intel and…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-15 Kai Wu , Frank Ober , Shari Hamlin , Dong Li

Open-access neuroimaging datasets have reached petabyte scale, and continue to grow. The ability to leverage the entirety of these datasets is limited to a restricted number of labs with both the capacity and infrastructure to process the…

Performance · Computer Science 2019-12-30 Valerie Hayot-Sasson , Shawn T Brown , Tristan Glatard

Emerging non-volatile memory technologies (NVRAM) offer alternatives to hard drives that are persistent, while providing similar latencies to DRAM. Intel recently released the Optane drive, which features 3D XPoint memory technology. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-26 Pradeep Subedi , Philip E. Davis , J. J. Villalobos , Ivan Rodero , Manish Parashar

Byte-addressable persistent memory (B-APM) presents a new opportunity to bridge the performance gap between main memory and storage. In this paper, we present the usage scenarios for this new technology, based on the capabilities of Intel's…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-14 Michele Weiland , Bernhard Homoelle

Byte-addressable non-volatile memory (NVM) features high density, DRAM comparable performance, and persistence. These characteristics position NVM as a promising new tier in the memory hierarchy. Nevertheless, NVM has asymmetric read and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-18 Ivy B. Peng , Maya B. Gokhale , Eric W. Green

The aim of parallel computing is to increase an application performance by executing the application on multiple processors. OpenMP is an API that supports multi platform shared memory programming model and shared-memory programs are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-12 Vibha Rajput , Alok Katiyar

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.…

Databases · Computer Science 2020-05-18 Yinjun Wu , Kwanghyun Park , Rathijit Sen , Brian Kroth , Jaeyoung Do

Non-volatile memory (NVM) technologies, being accessible in the same manner as DRAM, are considered indispensable for expanding main memory capacities. Intel Optane DCPMM is a long-awaited product that drastically increases main memory…

Operating Systems · Computer Science 2019-07-30 Takahiro Hirofuchi , Ryousei Takano

Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typically slower than DRAM. On the other hand, DRAM has…

Machine Learning · Computer Science 2022-11-07 Diego Moura , Vinicius Petrucci , Daniel Mosse

This review report discusses the cold start latency in serverless inference and existing solutions. It particularly reviews the ServerlessLLM method, a system designed to address the cold start problem in serverless inference for large…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-26 Himel Ghosh

In this paper, we present benchmark data for Intel Memory Drive Technology (IMDT), which is a new generation of Software-defined Memory (SDM) based on Intel ScaleMP collaboration and using 3D XPointTM based Intel Solid-State Drives (SSDs)…

Performance · Computer Science 2018-11-27 Vladimir Mironov , Andrey Kudryavtsev , Yuri Alexeev , Alexander Moskovsky , Igor Kulikov , Igor Chernykh

Modern out-of-order processors have increased capacity to exploit instruction level parallelism (ILP) and memory level parallelism (MLP), e.g., by using wide superscalar pipelines and vector execution units, as well as deep buffers for…

Programming Languages · Computer Science 2018-07-05 Vladimir Kiriansky , Haoran Xu , Martin Rinard , Saman Amarasinghe

Serverless computing has emerged as a compelling paradigm for the development and deployment of a wide range of event based cloud applications. At the same time, cloud providers and enterprise companies are heavily adopting machine learning…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-13 Vatche Ishakian , Vinod Muthusamy , Aleksander Slominski

Serverless computing, with its operational simplicity and on-demand scalability, has become a preferred paradigm for deploying workflow applications. However, resource allocation for workflows, particularly those with branching structures,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-10 Long Chen , Xinshuai Hua , Jinquan Zhang , Wenshuai Li , Xiaoping Li , Shijie Guo
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