Auto news on Youtube Mar 31 2018

Persistent memory programming is fairly new.

And currently, there are not many persistent memory aware

tools available for developers.

In this video, I'll tell you about some open source

persistent memory tools that will

help you manage the persistent memory in the system,

check for programming errors related to persistent memory,

and benchmark the performance of programs

built using the PMDK libraries.

I am Usha Upadhyayla from Intel.

Let's get started.

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The Persistent Memory Development Kit, PMDK,

provides developers with easier and less error-prone ways

to do persistent memory programming.

PMDK exposes persistent memory regions as memory pools.

And the first tool I'll be talking about

is called pmempool.

Pmempool is a utility for management and offline analysis

of persistent memory pools, including adding or removing

replicas.

Potential users for this tool include system administrators

for offline creation, analysis, manipulation of the pools,

and recovery from data corruption of these pools.

Application developers may use this tool

in debugging and testing applications built using PMDK.

The second tool is ndctl.

It's a Linux command line utility

for managing nonvolatile memory device subsystem.

ndctl is used to manage persistent memory

in the system, and the operations

supported by the tool include capacity provisioning,

enumerating, enabling, and disabling of these devices.

Daxctl is another utility that provides commands

to enumerate and provision device dax namespaces.

Device dax allows memory ranges to be allocated and mapped

without need for a file system.

This tool allows backup or copying content

of persistent memory region to another dax device.

Persistent memory programming is all about ensuring

data persistence and data consistency.

Pmemcheck is a tool built on Valgrind framework that

helps validate the correctness of the stores made

to persist in memory.

This tool also supports several options

to detect the stores that were not flushed to persistence

as well as the modifications made outside of transactions

and redundant or unnecessary cache flushes.

The PMDK libraries have built-in instrumentation for pmemcheck,

but the tool can also be used with applications

that are not built on PMDK.

There are also benchmarking tools like pmembench and fio.

Pmembench helps developers contributing to PMDK

to evaluate performance improvements

or to catch potential regressions.

Fio has been extended with a couple

of persistent memory-oriented engines

to evaluate performance of the applications re-architected

to work with byte addressable persistent memory.

Also, Intel is developing both performance analysis tools

and error checking tools for persistent DIMMs

based on 3D Xpoint media.

You could start now with VTune Amplifier's Memory Analysis

feature to identify data structures that

can benefit from larger memory.

Thank you for watching this introduction

to persistent memory tools.

We hope that you get a chance to explore the tools on GitHub

and provide us feedback.

Please don't forget to like this video and subscribe.

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