Name: Java Programming with Persistent Memory
Start: 2020-05-27T17:00:00Z
End: 2020-05-27T17:00:56.000Z
Location: BrightTALK
Rating: 5

Intel  and its partners share details on data center topics, best practices, strategies and more.

Microsoft announced its new Azure Stack HCI that gives customers the latest in security, performance and hybrid enhancements. Join us for an under-the-hood look at how to get the most out of Azure Stack HCI on Intel architecture. Microsoft and Intel experts will be joined by Alex Williams, Editor-in-Chief of The New Stack, to deep dive on the latest in security, performance, and feature improvements, why they matter, and how you can use existing resources, tools and skillsets for greater efficiency. You’ll come out with a deep understanding on how to maximize Azure Stack HCI on Intel architecture as your foundation for hybrid cloud.

A Foundation to Hybrid Cloud: Azure Stack HCI on Intel

It's estimated that 75% of data will be generated outside of data centers by 2025. Although better business outcomes are being born at the edge, challenges exist. Companies must deal with the ability to capture millions of datapoints in milliseconds, tap mountains of unstructured data, affordably embrace brownfield and greenfield deployments, and securely connect a complex web of disparate devices and protocols. From AI and IoT to network and security, three of Intel's top Edge experts explain best practices and lessons learned from working with companies to deploy over 15,000 end user edge solutions.

Best Practices at the Edge from over 15,000 End User Deployments and Counting

Over 95% of Anti Money Laundering (AML) alerts are false positives. Despite this, today’s under-staffed and under-resourced institutions continue to use outdated, reactive, and expensive systems for AML monitoring.

This webinar, provided by Intel and Consilient introduces a solution: Federated Learning through revolutionary technology. This effective and efficient means to tackle AML and prevent illicit finance moves beyond traditional rules-based transaction monitoring and towards real-time sharing and collective learning on complex threats - all while safeguarding privacy and data.  

The webinar will outline: 
•  Issues with today’s AML techniques
           - Introduction to Federated Learning architecture
           - Application of Federated Learning in the financial sector. 
•  Benefits of Federated Learning while ensuring security and privacy.

Parviz Peiravi (CTO - Financial Services Industry, Intel), Gary Shiffman (CEO, Consilient & Giant Oak), Juan Zarate (Chairman, Consilient), Nikhil Deshpande (Intel).

Fighting Financial Crime Effectively through Federated Machine Learning

AWS Outposts, is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any data center, co-location space, or on-premises facility for a truly consistent hybrid experience. When building out your AWS Outposts environment, there are many considerations that go into choosing the right architecture for you. To help you choose the right architectural blueprint for your AWS Outposts hybrid deployment, this webinar will take a real-world deep dive into multiple AWS Outposts hybrid architectures that customers implemented, as well as discuss the applicable options and considerations for your deployment.

AWS Outposts – An In-depth Look at Hybrid Cloud Use Cases

High Performance Computing (HPC) is driving digital transformation across a broad range of industries, from weather prediction, to genome research, to astrophysics. In this session, Intel and Google Cloud will interview OnScale about how they take advantage of HPC's value and accelerate digital transformation for their end-users while delivering operational efficiencies.

How Decision Makers Accelerate HPC Workload Deployment

To address the massive growth in data, burgeoning demands on networks driven by traffic increases and emerging workloads like AI, innovation in connectivity will be key. Join Intel’s Connectivity Group leaders as they discuss where the technology is trending and Intel’s vision and strategy to drive end to end connectivity well into the future.

The Future of Networks – from Edge to Cloud

Drive down latency, drive up performance with Dell EMC’s PowerMax system, powered by Intel® Optane™ SSDs as storage class memory. The Dell and Intel partnership has fundamentally changed the storage landscape, capitalizing on the reliability of Dell’s PowerMax platform, paired with the unmatched performance gains of Intel Optane SSDs, resulting in a solution that is a true game changer for mission-critical applications.

Join this webinar to learn more about how this platform can provide your organization in-memory quick data access at a storage-like cost; support near real-time analytics, online transaction processing (OLTP), and other data intensive applications; and give you the ability to prioritize performance based on service-level agreements (SLAs) with a built-in machine learning engine.

Address Your Most Intensive Data Needs: Dell EMC PowerMax with Intel Optane SSDs

The need for stronger cloud security has never been greater. As your organization makes the shift to the cloud, we want to help you reduce costs and complexity with a highly secure cloud foundation managed by Microsoft and backed with Intel technology. Start with a secure foundation by using multi-layered, built-in security from Azure and Intel to help protect against rapidly evolving threats.  Hear how to apply confidential computing to new or existing applications, and get inspired with real use cases in market.

Protect your data with confidential computing

This webinar will discuss the steps for organizations to build their data-driven capabilities. We discuss a data-centric framework to ensure all data work aligns with business strategy,  how data teams need to work together to accomplish these business objectives, and how to define data requirements to convert raw data into business consumable & actionable insights.

Kickstarting Your Organizational Transformation to Data-centric

•This technical session describes workload testing on a VMware® Virtual Machine leveraging Intel® Optane™ Persistent Memory on the Supermicro® BigTwin™ server.
•After a brief introduction to technology and value, test methodology and results are shared for a two key workloads representing compute and storage use cases common to many applications and how those benefit from persistent memory.

Intel® Optane™ Persistent Memory Virtualization with Supermicro® BigTwin™

The new Intel® Optane™ persistent memory (PMem) redefines traditional architectures, offering large capacity and new memory tier at an affordable cost. The performance benefits of using persistent memory remotely over a Remote Direct Memory Access (RDMA) network, in place of traditional storage, can be significant. While the same persistent memory programming rules apply, there is the additional challenge of implementing that programming model over a network. Part 1- of this webinar covered the introduction to RDMA, and how RDMA can be utilized with persistent memory and demonstrated two specific methods that can be utilized today to unlock the use of persistent memory remotely. In this webinar, we go deeper in to RDMA and describe the new RPMA library that will be added to the Persistent Memory Development Kit (PMDK).

Attendees will learn about:
•an overview of existing methods of data replication
•the existing software components that can be used to build remote persistent memory access solutions
•the API developed by the PMDK team to make remote persistent memory access easy to integrate with end-user applications

* For a basic understanding of persistent memory concepts & features of the PMDK, visit the Intel Developer Zone software.intel.com/persistent_memory

Tomasz Gromadzki is a Software Architect at Intel Corp (Memory and Storage Product Group) focusing on remote persistent memory solutions development. He’s spent over 20 years on design, development and deployment of distributed control systems for industrial, power distribution and mining automation. 

Steve Scargall is a Persistent Memory Software and Cloud Architect at Intel Corp. He wrote the “Programming Persistent Memory: A Comprehensive Guide for Developers” book and supports enabling & development effort to integrate persistent memory technology into software stacks, applications, and hardware architectures. He has over 19 years’ experience including his tenure at Sun Microsystems and Oracle.

Building Durable Storage Solutions with Intel Optane Persistent Memory - Part 2

In this webinar we’ll showcase the business potential Intel partners have achieved with Intel’s vision and edge AI portfolio. From industrial automation to public safety to health/medical and visual retail, we’ll look at the developer journey from Intel’s CPUs with built-in AI acceleration to specific purpose-built AI accelerators. We’ll look at how all of these platforms offer value to businesses, when incorporating cross-platform Edge AI development tools. And we’ll look behind the curtain to understand some of the technical innovations behind our deep learning accelerators. We’ll look at specific customers that have extracted the most business value in robotics, industrial manufacturing, and healthcare.

How to Get the Most Deep Learning Performance with Intel’s Edge AI Portfolio

AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.Tune in to this webinar to learn how companies are transforming their business with the power of AI and where to start.

AI Powered Model Optimization

Intel® Optane™ persistent memory (PMem) redefines traditional architectures, offering large capacity and new memory tier at an affordable cost. While your application performance can significantly accelerate by utilizing persistent memory, error handling becomes an essential aspect of the application’s overall health. The RAS ( Reliability, Availability, and Serviceability) features of persistent memory are designed to support the error-handling strategy of an application. Persistent memory vendors and platform vendors will decide which RAS features and how they will implement them at the lowest hardware levels. This webinar will provide a quick overview of the essential aspects of the RAS design that a persistent memory application developer should consider for their software. 

Attendees will learn about:
•A deeper understanding of Persistent Memory data errors 
•How applications can respond to Persistent Memory data errors
•How apps can detect potential platform persistent memory data loss

About the presenter - Nicholas Moulin is a cloud software architect at Intel Corporation. Since joining Intel in 2012, he has focused on enabling and developing persistent memory software for operating systems and platform firmware, and managing persistent memory hardware. Nicholas is currently working with industry partners to define and improve RAS features relevant to the persistent memory programming model. 

Moderated by Usha Upadhyayula - Customer Enabling for Intel Persistent Memory products at Intel Corp.

Build Persistent Memory Aware Apps with RAS

As industries are shifting more compute to the edge to gain enhanced insights for their business, cloud-native edge deployments are key for rapid innovation and agility. Platforms built on cloud-native architectures enable businesses to rapidly introduce new services, provide operational agility, use resources efficiently, and improve the end-user experience. In this webinar, Rajesh Gadivar, VP, Data Platforms Group and CTO, Network Platforms Group at Intel Corporation will talk about the growing prominence of edge computing and how cloud-native offerings such as OpenNESS are providing a foundation for the 5G-Ready Edge. Partha Seetala, Chief Executive Officer, Robin.io, will talk about how Robin.io's edge platform has integrated OpenNESS to not only achieve cloud native capabilities but also leverage the benefits of other Intel ingredients for a highly optimized edge platform.

Accelerating Cloud-Native Edge Deployments with OpenNESS

Oracle and Intel’s collaboration on the Exadata X8M platform with Intel® Optane™ Persistent Memory has resulted in 2.5x faster OLTP read IOPS, 10x faster OLTP latency, and 8x faster log writes. Join Subban Raghunathan, Oracle VP, Exadata Product Management and Bob Thome Oracle VP, Product Management for Database Cloud Services to learn how your enterprise can benefit from faster mission-critical OLTP and data analytics while achieving high levels of security, performance, and scalability using Oracle's Exadata X8M infrastructure. Oracle Exadata X8M, an Engineered System that can be deployed on-premises or as Cloud@Customer, is an ideal platform to meet customer challenges and offer extreme flexibility in deployment models.

Achieve Blazing OLTP Performance Using Intel Optane PMem on Oracle Exadata

Paperspace Gradient brings effortless infrastructure and lifecycle management to machine learning pipelines. Machine learning teams that use Gradient deploy more models from research to production by taking advantage of dramatically shorter development cycles. In this presentation we will demonstrate how an end-to-end machine learning pipeline can be constructed in minutes to support a state-of-the-art bacterial classifier. The technology demo features the Intel® Distribution of OpenVINO™ toolkit and other AI accelerated instruction available on modern Intel CPUs.

End-to-End Machine Learning Pipelines in Minutes

This webinar will discuss OmniSci’s vision of pioneering modern hardware and software to allow for data insights at the speed of curiosity. One catalyst for this effort is through the open data science stack of today that is clearly a de-facto platform for experimentation. Through our shared vision and partnership with Intel, we are working to advance and unify the worlds of Data Science with traditional analytics on modern hardware. We will discuss the relationship between data science applications and data discovery along with the collaboration between OmniSci and Intel to advance innovation within this ecosystem.

Bringing Accelerated Analytics at Scale to Intel Architecture

Persistent memory offers Java developers design flexibility and significant performance opportunities in applications that need to store data persistently.  We’ll start with a brief overview of different ways to access persistent memory from Java today.  Then we’ll go into a more in-depth exploration of an open-source Java library: the Low-Level Persistence Library (LLPL).   A walk through of Java code samples will give a feel for the power of using LLPL and direct memory programming for the storage of persistent data.

Java Programming with Persistent Memory

Java

Persistent Memory

Data Storage

Java Programming

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practices for avoiding virtual machine sprawl and other common virtualization pitfalls as well as how you can make the most of your virtualization environment.

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Java Programming with Persistent Memory

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