The newly introduced Amazon EC2 F1 OpenCL development workflow helps software developers with little to no FPGA experience supercharge their applications with Amazon EC2 F1. Join us for an overview and demonstration of how to accelerate your C/C++ applications in the cloud using OpenCL with Amazon EC2 F1 instances. We walk you through the development flow for creating a custom hardware acceleration for a software algorithm. Attendees get hands-on and creative by optimizing an algorithm for maximum acceleration on Amazon EC2 F1 instances.
How to Get the HPC Best-in-class Performance via Intel Xeon Skylake Processor...Amazon Web Services
This document discusses a presentation given at AWS re:Invent 2017 about HPC performance on Amazon EC2 C5 instances. The presentation covered Intel powering HPC in the cloud, Rescale delivering HPC in the cloud, and Richard Childress Racing's use of HPC in the cloud. It provided information on the new Intel Xeon Scalable processors, Rescale's platform for automating HPC deployments on AWS, and how RCR uses CFD simulations on AWS to gain advantages in NASCAR racing.
Introducing Amazon EC2 P3 Instance - Featuring the Most Powerful GPU for Mach...Amazon Web Services
Amazon EC2 P3 instances offer up to eight of the latest NVIDIA Tesla V100 GPUs, with up to 13X the speed of previous generation GPU instances. In this session, learn from Airbnb how they use machine learning to make their services smarter and more engaging for their customers and how they are using P3 instances to dramatically lower training time of their machine learning models while optimize costs.
Amazon EC2 deepdive and a sprinkel of AWS Compute | AWS Floor28Amazon Web Services
The document discusses an upcoming AWS event called "AMAZON EC2 DEEPDIVE AND A SPRINKLE OF AWS COMPUTE" presented by Doron Rogov. The event agenda lists technical sessions on various AWS topics occurring from October 14-23. The presentation will cover choosing Amazon EC2 instances, how performance is characterized for different workloads, how EC2 instances provide flexibility and agility while delivering performance, and how to optimize the EC2 instance experience through various instance types.
AWS Compute Evolved Week: Deep Dive on Amazon EC2 Accelerated ComputingAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: Deep Dive on Amazon EC2 Accelerated Computing
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
Speaker: Clinton Ford - Sr. Product Manager, EC2, AWS
Optimizing Network Performance for Amazon EC2 Instances (CMP308-R1) - AWS re:...Amazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features— including enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-efficient manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
AWS Core - Compute, Network, Storage and Security | AWS Summit Tel Aviv 2019AWS Summits
We will dive deep to the different table capacity modes, including the new on-demand capacity mode. We will also present features like Transactions, TTL and Global Tables.
How to Get the HPC Best-in-class Performance via Intel Xeon Skylake Processor...Amazon Web Services
This document discusses a presentation given at AWS re:Invent 2017 about HPC performance on Amazon EC2 C5 instances. The presentation covered Intel powering HPC in the cloud, Rescale delivering HPC in the cloud, and Richard Childress Racing's use of HPC in the cloud. It provided information on the new Intel Xeon Scalable processors, Rescale's platform for automating HPC deployments on AWS, and how RCR uses CFD simulations on AWS to gain advantages in NASCAR racing.
Introducing Amazon EC2 P3 Instance - Featuring the Most Powerful GPU for Mach...Amazon Web Services
Amazon EC2 P3 instances offer up to eight of the latest NVIDIA Tesla V100 GPUs, with up to 13X the speed of previous generation GPU instances. In this session, learn from Airbnb how they use machine learning to make their services smarter and more engaging for their customers and how they are using P3 instances to dramatically lower training time of their machine learning models while optimize costs.
Amazon EC2 deepdive and a sprinkel of AWS Compute | AWS Floor28Amazon Web Services
The document discusses an upcoming AWS event called "AMAZON EC2 DEEPDIVE AND A SPRINKLE OF AWS COMPUTE" presented by Doron Rogov. The event agenda lists technical sessions on various AWS topics occurring from October 14-23. The presentation will cover choosing Amazon EC2 instances, how performance is characterized for different workloads, how EC2 instances provide flexibility and agility while delivering performance, and how to optimize the EC2 instance experience through various instance types.
AWS Compute Evolved Week: Deep Dive on Amazon EC2 Accelerated ComputingAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: Deep Dive on Amazon EC2 Accelerated Computing
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
Speaker: Clinton Ford - Sr. Product Manager, EC2, AWS
Optimizing Network Performance for Amazon EC2 Instances (CMP308-R1) - AWS re:...Amazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features— including enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-efficient manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
AWS Core - Compute, Network, Storage and Security | AWS Summit Tel Aviv 2019AWS Summits
We will dive deep to the different table capacity modes, including the new on-demand capacity mode. We will also present features like Transactions, TTL and Global Tables.
In this deck from the HPC User Forum at Argonne, Ian Colle from Amazon presents: What Can HPC on AWS Do?
"AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. AWS delivers an integrated suite of services that provides everything needed to quickly and easily build and manage HPC clusters in the cloud to run the most compute intensive workloads across various industry verticals. These workloads span the traditional HPC applications, like genomics, computational chemistry, financial risk modeling, computer aided engineering, weather prediction, and seismic imaging, as well as emerging applications, like machine learning, deep learning, and autonomous driving."
Watch the video: https://wp.me/p3RLHQ-kUh
Learn more: https://aws.amazon.com/hpc/
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
by Jeanine Banks, Director of Product Management, EC2 Windows & Enterprise Workloads, AWS
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Scaling Redis Workloads with Amazon ElastiCache - AWS Online Tech TalksAmazon Web Services
This document provides an overview and best practices for scaling Redis workloads with Amazon ElastiCache. It discusses:
- Amazon ElastiCache features like Redis and Memcached support, high performance, availability, and security.
- Redis cluster mode and how it provides automatic sharding and horizontal scaling.
- How to perform online resharding of Redis clusters with ElastiCache to scale without downtime.
- Common usage patterns for ElastiCache like caching, session management, and pub/sub.
AWS re:Invent 2017 Recap Webinar - Australia & New ZealandAmazon Web Services
AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community to network, engage, and learn more about AWS. It features keynote announcements and more than 1,000 technical sessions. If you couldn't make it to re:Invent, please view this recap of the new services and features announced, as well as which services are available in the Sydney region.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Accelerating Development Using Custom Hardware Accelerations with Amazon EC2 ...Amazon Web Services
This document discusses accelerating development using custom hardware accelerations with Amazon F1 instances. It provides an overview of F1 instances and their capabilities for hardware acceleration using FPGAs. It also discusses tools, examples, and use cases for building and loading custom hardware accelerations onto F1 instances through Amazon FPGA Images (AFIs). Performance results are shown for a financial simulation model accelerated by over 600x using an F1 instance compared to CPU-only.
After looking at a variety of NoSQL alternatives like MongoDB, Riak, and LevelDB, Hulu selected Redis. Describing the process, Andres Rangel, Senior Software Engineer, stated, “We chose Redis for several key reasons – it was simple to set up, had great documentation, offered replication, and allowed us to use data structures. Data structures are extremely powerful and allow us to architect solutions to many use cases very efficiently. For example, depending on the operation, we have the need to query either a specific video a user watched, or all of them. With Redis, this was easy using hashes.”
To learn more, visit pivotal.io/big-data/redis.
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017Amazon Web Services
PostgreSQL is an open source database growing in popularity because of its rich features, vibrant community, and compatibility with commercial databases. Learn about ways to run PostgreSQL on AWS including self-managed, and the managed database services from AWS: Amazon Relational Database Service (Amazon RDS) and the Amazon Aurora PostgreSQL-compatible Edition. This talk covers key Amazon RDS for PostgreSQL functionality, availability, and management. We also review general guidelines for common user operations and activities such as migration, tuning, and monitoring for their RDS for PostgreSQL instances.
Accelerate Your C/C++ Applications with Amazon EC2 F1 Instances (CMP405) - AW...Amazon Web Services
The document discusses Amazon EC2 F1 instances for accelerating C/C++ applications using FPGAs. It provides an overview of F1 instances and capabilities like packet processing and multiple AFIs. Updates include more regions, sizes, and tools. Examples demonstrate financial computing, genomics, and video acceleration. The workshop will use precompiled AFIs and F1.2xlarge instances to introduce FPGA development.
Optimierung Ihrer SAP Infrastruktur mit der AWS PlattformAWS Germany
In diesem technisch orientierten Vortrag präsentieren wir Optionen, um Ihre SAP Umgebungen auf der Amazon Web Services (AWS) Plattform zu betreiben. Wir sprechen über die verschiedenen zertifizierten virtuellen Maschinen, Speicherlösungen und Performance-Aspekte. Zudem geben wir Anregungen, wie Sie Kosten und Performance ihrer SAP-Landschaft auf AWS optimieren können.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing, all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including new instance families, understand the differences among their hardware types and capabilities, and explore their optimal use cases.
Training Chatbots and Conversational Artificial Intelligence Agents with Amaz...Amazon Web Services
Building a conversational AI experience that can respond to a wide variety of inputs and situations depends on gathering high-quality, relevant training data. Dialog with humans is an important part of this training process. In this session, learn how researchers at Facebook use Amazon Mechanical Turk within the ParlAI (pronounced “parlay”) framework for training and evaluating AI models to perform data collection, human training, and human evaluation. Learn how you can use this interface to gather high-quality training data to build next-generation chatbots and conversational agents.
A Day in the Life of a Cloud Network Engineer at Netflix - NET303 - re:Invent...Amazon Web Services
Netflix is big and dynamic. At Netflix, IP addresses mean nothing in the cloud. This is a big challenge with Amazon VPC Flow Logs. VPC Flow Log entries only present network-level information (L3 and L4), which is virtually meaningless. Our goal is to map each IP address back to an application, at scale, to derive true network-level insight within Amazon VPC. In this session, the Cloud Network Engineering team discusses the temporal nature of IP address utilization in AWS and the problem with looking at OSI Layer 3 and Layer 4 information in the cloud.
This document discusses IBM's involvement in artificial intelligence and deep learning. It includes:
- An introduction to IBM's Cognitive Systems team working in AI.
- A brief history of IBM's AI projects including Deep Blue, Blue Gene, and Watson.
- Explanations of concepts like machine learning, deep learning, and how they relate to high performance computing.
- Details of IBM's current hardware, software, and services for AI workloads including the Power9 processor, PowerAI tools, and storage solutions.
The document provides an overview of IBM's expertise and offerings in the field of artificial intelligence.
Redis has exploded in popularity to become the de-facto standard for in-memory key-value store used by customers for fast data storage to accelerate databases and applications. In this talk, we will discuss how to leverage Redis to achieve blazing fast performance in a variety of use cases – from database caching, to messaging, queuing, IoT and more. Both high-level architecture considerations and implementation (with code snippets) will be covered. We will also see how using Amazon ElastiCache makes it easy to power your Redis workloads in a robust, secure and fully managed way.
In this sessions, learn the basics of HPC on AWS and watch a demonstration on how to launch a large cluster.
Presenter: Scott Eberhardt, Specialist Solutions Architect, AWS UK
This document discusses Pure Storage's FlashArray and its capabilities for virtual environments. It highlights features like VAAI integration, the vSphere HTML5 plugin, Virtual Volumes (VVols) and Storage Policy Based Management (SPBM) which allow FlashArrays to provide storage services at the virtual disk level. It also discusses disaster recovery options like ActiveCluster and portability of snapshots between on-prem and cloud environments using CloudSnap. The document promotes Pure Storage's approach of simplifying VMware environments through tight array integration and automation rather than requiring additional configuration or plugins.
Building Java in the Open - j.Day at OSCON 2019Arun Gupta
Amazon develops and maintains Corretto, an open-source distribution of OpenJDK. Corretto provides long-term support with quarterly security updates for Java on Linux, Windows, and macOS. Amazon contributes patches and improvements to OpenJDK and aims to upstream all changes. The Amazon Corretto Crypto Provider offers accelerated cryptographic performance for workloads.
C5 Instances and the Evolution of Amazon EC2 Virtualization - CMP332 - re:Inv...Amazon Web Services
Over the last 11 years, the Amazon EC2 virtualization platform has quietly evolved to take advantage of unique hardware and silicon, an accelerated network and storage architecture, and with the launch of C5 instances, a bespoke hypervisor to deliver the maximum amount of resources and performance to instances. Come to this deep dive to get a behind-the-scenes look at how our virtualization stack has evolved, including a peak at how our latest generation platform works under the covers.
FPGA Accelerated Computing Using Amazon EC2 F1 Instances - CMP308 - re:Invent...Amazon Web Services
Amazon EC2 F1 instances with field programmable gate arrays (FPGAs), combined with improved cloud-based FPGA programming tools, provides researchers, application developers, and startups with a well-tested, standardized, and accessible platform for hardware-accelerated computing. This session introduces you to Amazon EC2 F1 instances with FPGAs, walks you through a typical development and deployment process, and highlights a number of use cases in different domains, including genomics, video processing, text search, and financial computing.
Amazon EC2 F1 is a new compute instance with programmable hardware for application acceleration. With F1, you can directly access custom FPGA hardware on the instance in a few clicks.
Learning Objectives:
• Learn about the capabilities, features, and benefits of the new F1 instances
• Develop your FPGA using the F1 Hardware Developer Kit and FPGA Developer AMI
• Deploy your FPGA acceleration code using F1 instances
• Use F1 instances for hardware acceleration in your applications
• Learn how to offer pre-packaged Amazon FPGA Machine Images (AFIs) to your customers through the AWS Marketplace
In this deck from the HPC User Forum at Argonne, Ian Colle from Amazon presents: What Can HPC on AWS Do?
"AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. AWS delivers an integrated suite of services that provides everything needed to quickly and easily build and manage HPC clusters in the cloud to run the most compute intensive workloads across various industry verticals. These workloads span the traditional HPC applications, like genomics, computational chemistry, financial risk modeling, computer aided engineering, weather prediction, and seismic imaging, as well as emerging applications, like machine learning, deep learning, and autonomous driving."
Watch the video: https://wp.me/p3RLHQ-kUh
Learn more: https://aws.amazon.com/hpc/
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
by Jeanine Banks, Director of Product Management, EC2 Windows & Enterprise Workloads, AWS
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Scaling Redis Workloads with Amazon ElastiCache - AWS Online Tech TalksAmazon Web Services
This document provides an overview and best practices for scaling Redis workloads with Amazon ElastiCache. It discusses:
- Amazon ElastiCache features like Redis and Memcached support, high performance, availability, and security.
- Redis cluster mode and how it provides automatic sharding and horizontal scaling.
- How to perform online resharding of Redis clusters with ElastiCache to scale without downtime.
- Common usage patterns for ElastiCache like caching, session management, and pub/sub.
AWS re:Invent 2017 Recap Webinar - Australia & New ZealandAmazon Web Services
AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community to network, engage, and learn more about AWS. It features keynote announcements and more than 1,000 technical sessions. If you couldn't make it to re:Invent, please view this recap of the new services and features announced, as well as which services are available in the Sydney region.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
Accelerating Development Using Custom Hardware Accelerations with Amazon EC2 ...Amazon Web Services
This document discusses accelerating development using custom hardware accelerations with Amazon F1 instances. It provides an overview of F1 instances and their capabilities for hardware acceleration using FPGAs. It also discusses tools, examples, and use cases for building and loading custom hardware accelerations onto F1 instances through Amazon FPGA Images (AFIs). Performance results are shown for a financial simulation model accelerated by over 600x using an F1 instance compared to CPU-only.
After looking at a variety of NoSQL alternatives like MongoDB, Riak, and LevelDB, Hulu selected Redis. Describing the process, Andres Rangel, Senior Software Engineer, stated, “We chose Redis for several key reasons – it was simple to set up, had great documentation, offered replication, and allowed us to use data structures. Data structures are extremely powerful and allow us to architect solutions to many use cases very efficiently. For example, depending on the operation, we have the need to query either a specific video a user watched, or all of them. With Redis, this was easy using hashes.”
To learn more, visit pivotal.io/big-data/redis.
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017Amazon Web Services
PostgreSQL is an open source database growing in popularity because of its rich features, vibrant community, and compatibility with commercial databases. Learn about ways to run PostgreSQL on AWS including self-managed, and the managed database services from AWS: Amazon Relational Database Service (Amazon RDS) and the Amazon Aurora PostgreSQL-compatible Edition. This talk covers key Amazon RDS for PostgreSQL functionality, availability, and management. We also review general guidelines for common user operations and activities such as migration, tuning, and monitoring for their RDS for PostgreSQL instances.
Accelerate Your C/C++ Applications with Amazon EC2 F1 Instances (CMP405) - AW...Amazon Web Services
The document discusses Amazon EC2 F1 instances for accelerating C/C++ applications using FPGAs. It provides an overview of F1 instances and capabilities like packet processing and multiple AFIs. Updates include more regions, sizes, and tools. Examples demonstrate financial computing, genomics, and video acceleration. The workshop will use precompiled AFIs and F1.2xlarge instances to introduce FPGA development.
Optimierung Ihrer SAP Infrastruktur mit der AWS PlattformAWS Germany
In diesem technisch orientierten Vortrag präsentieren wir Optionen, um Ihre SAP Umgebungen auf der Amazon Web Services (AWS) Plattform zu betreiben. Wir sprechen über die verschiedenen zertifizierten virtuellen Maschinen, Speicherlösungen und Performance-Aspekte. Zudem geben wir Anregungen, wie Sie Kosten und Performance ihrer SAP-Landschaft auf AWS optimieren können.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing, all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including new instance families, understand the differences among their hardware types and capabilities, and explore their optimal use cases.
Training Chatbots and Conversational Artificial Intelligence Agents with Amaz...Amazon Web Services
Building a conversational AI experience that can respond to a wide variety of inputs and situations depends on gathering high-quality, relevant training data. Dialog with humans is an important part of this training process. In this session, learn how researchers at Facebook use Amazon Mechanical Turk within the ParlAI (pronounced “parlay”) framework for training and evaluating AI models to perform data collection, human training, and human evaluation. Learn how you can use this interface to gather high-quality training data to build next-generation chatbots and conversational agents.
A Day in the Life of a Cloud Network Engineer at Netflix - NET303 - re:Invent...Amazon Web Services
Netflix is big and dynamic. At Netflix, IP addresses mean nothing in the cloud. This is a big challenge with Amazon VPC Flow Logs. VPC Flow Log entries only present network-level information (L3 and L4), which is virtually meaningless. Our goal is to map each IP address back to an application, at scale, to derive true network-level insight within Amazon VPC. In this session, the Cloud Network Engineering team discusses the temporal nature of IP address utilization in AWS and the problem with looking at OSI Layer 3 and Layer 4 information in the cloud.
This document discusses IBM's involvement in artificial intelligence and deep learning. It includes:
- An introduction to IBM's Cognitive Systems team working in AI.
- A brief history of IBM's AI projects including Deep Blue, Blue Gene, and Watson.
- Explanations of concepts like machine learning, deep learning, and how they relate to high performance computing.
- Details of IBM's current hardware, software, and services for AI workloads including the Power9 processor, PowerAI tools, and storage solutions.
The document provides an overview of IBM's expertise and offerings in the field of artificial intelligence.
Redis has exploded in popularity to become the de-facto standard for in-memory key-value store used by customers for fast data storage to accelerate databases and applications. In this talk, we will discuss how to leverage Redis to achieve blazing fast performance in a variety of use cases – from database caching, to messaging, queuing, IoT and more. Both high-level architecture considerations and implementation (with code snippets) will be covered. We will also see how using Amazon ElastiCache makes it easy to power your Redis workloads in a robust, secure and fully managed way.
In this sessions, learn the basics of HPC on AWS and watch a demonstration on how to launch a large cluster.
Presenter: Scott Eberhardt, Specialist Solutions Architect, AWS UK
This document discusses Pure Storage's FlashArray and its capabilities for virtual environments. It highlights features like VAAI integration, the vSphere HTML5 plugin, Virtual Volumes (VVols) and Storage Policy Based Management (SPBM) which allow FlashArrays to provide storage services at the virtual disk level. It also discusses disaster recovery options like ActiveCluster and portability of snapshots between on-prem and cloud environments using CloudSnap. The document promotes Pure Storage's approach of simplifying VMware environments through tight array integration and automation rather than requiring additional configuration or plugins.
Building Java in the Open - j.Day at OSCON 2019Arun Gupta
Amazon develops and maintains Corretto, an open-source distribution of OpenJDK. Corretto provides long-term support with quarterly security updates for Java on Linux, Windows, and macOS. Amazon contributes patches and improvements to OpenJDK and aims to upstream all changes. The Amazon Corretto Crypto Provider offers accelerated cryptographic performance for workloads.
C5 Instances and the Evolution of Amazon EC2 Virtualization - CMP332 - re:Inv...Amazon Web Services
Over the last 11 years, the Amazon EC2 virtualization platform has quietly evolved to take advantage of unique hardware and silicon, an accelerated network and storage architecture, and with the launch of C5 instances, a bespoke hypervisor to deliver the maximum amount of resources and performance to instances. Come to this deep dive to get a behind-the-scenes look at how our virtualization stack has evolved, including a peak at how our latest generation platform works under the covers.
FPGA Accelerated Computing Using Amazon EC2 F1 Instances - CMP308 - re:Invent...Amazon Web Services
Amazon EC2 F1 instances with field programmable gate arrays (FPGAs), combined with improved cloud-based FPGA programming tools, provides researchers, application developers, and startups with a well-tested, standardized, and accessible platform for hardware-accelerated computing. This session introduces you to Amazon EC2 F1 instances with FPGAs, walks you through a typical development and deployment process, and highlights a number of use cases in different domains, including genomics, video processing, text search, and financial computing.
Amazon EC2 F1 is a new compute instance with programmable hardware for application acceleration. With F1, you can directly access custom FPGA hardware on the instance in a few clicks.
Learning Objectives:
• Learn about the capabilities, features, and benefits of the new F1 instances
• Develop your FPGA using the F1 Hardware Developer Kit and FPGA Developer AMI
• Deploy your FPGA acceleration code using F1 instances
• Use F1 instances for hardware acceleration in your applications
• Learn how to offer pre-packaged Amazon FPGA Machine Images (AFIs) to your customers through the AWS Marketplace
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
by Jeanine Banks, Director of Product Management, EC2 Windows & Enterprise Workloads, AWS
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
This session introduces you to Amazon EC2 F1 instances and walks you through a typical development and deployment process, including the Approved Amazon EC2 F1 C/C++ development workflow. We also discuss a number of use cases in different domains, including financial risk simulation, genomics, video processing, big data and analytics, with a discussion about acceleration work on top of EC2 F1.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
The Future of Research Computing on AWS - AWS Public Sector Summit Singapore ...Amazon Web Services
<Technical Track>
Adrian White, Sr Technical Business Development Manager, Research Computing, Public Sector, Amazon Web Services.
The tools researchers use for scientific analysis and discovery are changing. AWS enables flexible, new architectures that users can mold to fit these evolving workflows. Learn how AWS customers are applying next-generation high performance computing, serverless architectures, and predictive analytics, in concert with machine learning, to do more with their research budgets and solve previously intractable research computing challenges.
AWS Compute Evolved Week: High Performance Computing on AWSAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: High Performance Computing on AWS
High Performance Computing (HPC) has been driving technology advancements for many decades. HPC enables performance-demanding applications and workloads to solve complex problems while dramatically reducing time to solution. With a history of requiring very large data centers, HPC is now on the edge of a paradigm shift. The AWS Cloud will allow customers to have access to near infinite compute and storage resources, without the overhead of running their own data centers. There are a vast number of HPC segments and verticals that are already seeing great success running their workloads on AWS. Life Sciences, Financial Services, Energy & Geo Sciences, as well as Manufacturing are successfully deploying their applications on AWS. In these two sessions we will discuss how AWS can help you run HPC workloads in the cloud.
Speakers: Pierre-Yves Aquilanti - Sr. HPC Specialized Solutions Architect, AWS & Anh Tran - Sr. HPC Specialized Solutions Architect, AWS
The document discusses Amazon EC2 F1 instances which provide customizable FPGAs for hardware acceleration in the cloud. It describes various FPGA-based cloud infrastructures from companies like Amazon, IBM, Microsoft, and Ryft. It also provides details on the Vivado/SDAccel design contest including dates, team size limits, and prizes for winners. Finally, it discusses the SDAccel development environment for designing FPGA accelerators and deploying them on F1 instances.
- The document discusses Amazon Web Services (AWS) networking services including Amazon Virtual Private Cloud (VPC), security groups, Elastic Compute Cloud (EC2) instance types, container services, serverless computing, and Elastic Load Balancing.
- It provides an overview of each service's capabilities and use cases to help users choose the right AWS services for their workload and infrastructure needs.
- Examples, resources for further reading, and benefits are outlined for each service to aid in understanding and adopting AWS networking offerings.
Deep Dive on Amazon EC2 Accelerated Computing - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Technical understanding of AWS' offerings for GPU-based and FPGA-based accelerated computing
- Technical understanding of which Amazon EC2 Accelerated Computing services are ideal for running deep learning training and inference, advanced graphics applications, high performance computing, and reconfigurable computing
- What are the technical advantages of using Amazon EC2 Accelerated Computing services to run ML/DL and HPC workloads in the cloud
The document discusses a leadership session on using cloud technologies to accelerate innovation for intelligent, connected products in the high-tech and semiconductor industries. It highlights key workloads like electronic design automation (EDA) and examples of companies innovating faster on AWS through more efficient EDA workflows, faster software testing, and reduced product development times.
Computação de Alta Performance (HPC) na AWS - CMP201 - Sao Paulo SummitAmazon Web Services
A computação de alta performance (HPC) na nuvem permite alta escala computacional e intensivos gráficos de cargas de trabalho em diversos setores, incluindo aeroespacial, manufatura, ciências da vida, serviços financeiros e energia. A AWS fornece aos desenvolvedores de aplicações e usuários um poder computacional sem precedentes para aplicações massivamente paralelas em áreas como fluído de grande escala e simulação de materiais, renderização de conteúdo 3D, computação financeira e deep learning. Nesta sessão, fornecemos uma visão geral dos recursos de HPC na AWS. Descrevemos a mais nova geração de instâncias de computação de uso geral e aceleradas, destacamos casos de uso de clientes e parceiros em todos os setores e discutimos casos de uso de HPC novos e emergentes. Os participantes aprenderão as melhores práticas para executar fluxos de trabalho de HPC na nuvem, incluindo automação e otimização de fluxo de trabalho.
CMP213_GPU(G3) Applications in Media and Entertainment WorkloadsAmazon Web Services
GPUs have a large application in Media and Entertainment workloads. From backend video processing and creation workloads such as VFX/Rendering, transcoding and broadcast playout to high-end creatives as well as video editing workloads. Backed by the NVIDIA Tesla M60 GPUs, G3 instances offer unparalleled power and flexibility to do complex modeling, 3D visualization, computer aided design, seismic visualization, video encoding. G3 instances are the first Amazon EC2 instances to support NVIDIA GRID Virtual Workstation capabilities, with streaming support for four monitors each with up to 4K resolution, and hardware encoding to support up to 10 High Efficiency Video Coding (HEVC) H.265 1080p30 streams or up to 18 H.264 1080p30 streams per GPU for faster video frame processing and improved image fidelity. In this session we will highlight two criticial Media workloads Video Editing via remote application streaming and Broadcast Playout origination from the AWS cloud. We will have Pop Media discuss their remote video editing in the cloud that enables secure remote, real-time editorial and image processing session views. This will be followed by Evertz regarding Discovery Channel’s broadcast Playout application for several live Discovery channels currently.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
This document provides an overview of SYCL and Khronos. It announces the release of SYCL 2020 and describes its key features and industry momentum. SYCL is an open standard for parallel programming in C++ that provides performance portability across diverse hardware. The document discusses SYCL implementations, applications in HPC, embedded systems, and how SYCL fits in the broader Khronos standards landscape.
CMP315_Optimizing Network Performance for Amazon EC2 InstancesAmazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features—such as enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-effective manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
Similar to Accelerate Your C/C++ Applications with Amazon EC2 F1 Instances - CMP402 - re:Invent 2017 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.