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PCS AWS: AWS Parallel Computing Service For HPC workloads

PCS AWS
AWS launching AWS Parallel Computing Service (AWS PCS), a managed service that allows clients build up and maintain HPC clusters to execute simulations at nearly any scale on AWS. The Slurm scheduler lets them work in a familiar HPC environment without worrying about infrastructure, accelerating outcomes.
AWS Parallel Computing
Run HPC workloads effortlessly at any scale.
Why AWS PCS?
AWS Parallel Computing Service (AWS PCS) is a managed service that simplifies HPC workloads and Slurm-based scientific and engineering model development on AWS. PCS AWS lets you create elastic computing, storage, networking, and visualization environments. Managed updates and built-in observability features make cluster management easier with AWS PCS. You may focus on research and innovation in a comfortable environment without worrying about infrastructure.
Benefits
Focus on labor, not infrastructure
Give users comprehensive HPC environments that scale to run simulations and scientific and engineering modeling without code or script changes to boost productivity.
Manage, secure, and scale HPC clusters
Build and deploy scalable, dependable, and secure HPC clusters via the AWS Management Console, CLI, or SDK.
HPC solutions using flexible building blocks
Build and maintain end-to-end HPC applications on AWS using highly available cluster APIs and infrastructure as code.
Use cases
Tightly connected tasks
At almost any scale, run concurrent MPI applications like CAE, weather and climate modeling, and seismic and reservoir simulation efficiently.
Faster computing
GPUs, FPGAs, and Amazon-custom silicon like AWS Trainium and AWS Inferentia can speed up varied workloads like creating scientific and engineering models, protein structure prediction, and Cryo-EM.
Computing at high speed and loosely linked workloads
Distributed applications like Monte Carlo simulations, image processing, and genomics research can run on AWS at any scale.
Workflows that interact
Use human-in-the-loop operations to prepare inputs, run simulations, visualize and evaluate results in real time, and modify additional trials.
AWS ParallelCluster
In November 2018, AWS launched AWS ParallelCluster, an AWS-supported open-source cluster management tool for AWS Cloud HPC cluster deployment and maintenance. Customers can quickly design and deploy proof of concept and production HPC computation systems with AWS ParallelCluster. Open-source AWS ParallelCluster Command-Line interface, API, Python library, and user interface are available. Updates may include cluster removal and reinstallation. To eliminate HPC environment building and operation chores, many clients have requested a completely managed AWS solution.
AWS Parallel Computing Service (AWS PCS)
PCS AWS simplifies AWS-managed HPC setups via the AWS Management Console, SDK, and CLI. Your system administrators can establish managed Slurm clusters using their computing, storage, identity, and job allocation preferences. AWS PCS schedules and orchestrates simulations using Slurm, a scalable, fault-tolerant work scheduler utilized by many HPC clients. Scientists, researchers, and engineers can log into AWS PCS clusters to conduct HPC jobs, use interactive software on virtual desktops, and access data. Their workloads can be swiftly moved to PCS AWS without code porting.
Fully controlled NICE DCV remote desktops allow specialists to manage HPC operations in one place by accessing task telemetry or application logs and remote visualization.
PCS AWS uses familiar methods for preparing, executing, and analyzing simulations and computations for a wide range of traditional and emerging, compute or data-intensive engineering and scientific workloads in computational reservoir simulations, electronic design automation, finite element analysis, fluid dynamics, and weather modeling.
Starting AWS Parallel Computing Service
AWS documentation article for constructing a basic cluster lets you try AWS PCS. First, construct a VPC with an AWS CloudFormation template and shared storage in Amazon EFS in your account for the AWS Region where you will try PCS AWS. AWS literature explains how to create a VPC and shared storage.
Cluster
Select Create cluster in the PCS AWS console to manage resources and run workloads.
Name your cluster and select your Slurm scheduler controller size. Cluster workload limits are Small (32 nodes, 256 jobs), Medium (512 nodes, 8,192 tasks), and Large (2,048 nodes, 16,384 jobs). Select your VPC, cluster launch subnet, and cluster security group in Networking.
A resource selection method parameter, an idle duration before compute nodes scale down, and a Prolog and Epilog scripts directory on launched compute nodes are optional Slurm configurations.
Create cluster. Provisioning the cluster takes time.
Form compute node groupings
After constructing your cluster, you can create compute node groups, a virtual grouping of Amazon EC2 instances used by PCS AWS to enable interactive access to a cluster or perform processes in it. You define EC2 instance types, minimum and maximum instance counts, target VPC subnets, Amazon Machine Image (AMI), purchasing option, and custom launch settings when defining a compute node group. Compute node groups need an instance profile to pass an AWS IAM role to an EC2 instance and an EC2 launch template for AWS PCS to configure EC2 instances.
Select the Compute node groups tab and the Create button in your cluster to create a compute node group in the console.
End users can login to a compute node group, and HPC jobs run on a job node group.
Use a compute node name and a previously prepared EC2 launch template, IAM instance profile, and subnets to launch compute nodes in your cluster VPC for HPC jobs.
Next, select your chosen EC2 instance types for compute node launches and the scaling minimum and maximum instance count.
Select Create. Provisioning the computing node group takes time.
Build and run HPC jobs
After building compute node groups, queue a job to run. Job queued until PCS AWS schedules it on a compute node group based on provisioned capacity. Each queue has one or more computing node groups that supply EC2 instances for processing.
Visit your cluster, select Queues, and click Create queue to create a queue in the console.
Select Create and wait for queue creation.
AWS Systems Manager can connect to the EC2 instance it creates when the login compute node group is active. Select your login compute node group EC2 instance in the Amazon EC2 console. The AWS manual describes how to create a queue to submit and manage jobs and connect to your cluster.
Create a submission script with job requirements and submit it to a queue with the sbatch command to perform a Slurm job. This is usually done from a shared directory so login and compute nodes can access files together.
Slurm may perform MPI jobs in PCS AWS. See AWS documents Run a single-node job with Slurm or Run a multi-node MPI task with Slurm for details.
Visualize with a fully managed NICE DCV remote desktop. Start with the HPC Recipes for AWS GitHub CloudFormation template.
After HPC jobs using your cluster and node groups, erase your resources to minimize needless expenses. See AWS documentation Delete your AWS resources for details.
Know something
Some things to know about this feature:
Slurm versions – AWS PCS initially supports Slurm 23.11 and enables tools to upgrade major versions when new versions are added. AWS PCS also automatically patches the Slurm controller.
On-Demand Capacity Reservations let you reserve EC2 capacity in a certain Availability Zone and duration to ensure you have compute capacity when you need it.
Network file systems Amazon FSx for NetApp ONTAP, OpenZFS, File Cache, EFS, and Lustre can be attached to write and access data and files. Self-managed volumes like NFS servers are possible.
Now available
US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm) now provide AWS Parallel Computing Service.
Read more on govindhtech.com
#PCS#AWS#computingservice#hpcworkloads#parallelcomputingservice#awspcs#Amazon#vpc#amazonec2instance#news#TechNews#technology#technologynews#technologytrends#govindhtech
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Transform Your Business with Clarusto's Cloud Computing Solutions
Cloud computing has revolutionised the way businesses operate, offering a plethora of services over the internet that include servers, storage, databases, networking, software, analytics, and intelligence. These services, delivered through "the cloud," enable faster innovation, flexible resource allocation, and significant cost savings by leveraging economies of scale. By adopting cloud computing, businesses can drastically reduce operational costs, optimise infrastructure efficiency, and scale effortlessly to meet evolving demands.
Former US federal CIO, Vivek Kundra, argues that cloud computing is inherently more secure than traditional computing. Companies like Google and Amazon attract and retain top cybersecurity talent, ensuring superior protection for their services. Here are the top 10 key benefits of cloud computing for modern enterprises:
Cost Efficiency: Eliminate substantial upfront capital expenditures on hardware, reducing ongoing operational costs associated with maintenance and upgrades. The pay-as-you-go model ensures businesses pay only for the resources they consume, enabling significant cost savings and better financial planning.
Scalability: Enjoy unparalleled scalability with the ability to adjust resource allocation based on current needs. This flexibility allows for efficient management of resources without significant upfront investments in physical infrastructure.
Accessibility: Access cloud services from any location with an internet connection, facilitating remote work and collaboration among geographically dispersed teams. This enhances productivity and supports flexible work arrangements.
Reliability: Benefit from robust and reliable infrastructures with redundant systems and comprehensive data backup mechanisms, ensuring high availability of services and minimising downtime.
Security: Cloud providers implement rigorous security measures, including encryption, identity and access management, and compliance with industry standards and regulations, ensuring data and infrastructure protection from cyber threats.
Automatic Updates: Cloud services are continually updated with the latest features, security patches, and performance enhancements, managed by the cloud provider. This ensures businesses have access to cutting-edge technology without manual intervention.
Resource Optimization: Dynamically allocate computing power, storage, and network bandwidth based on demand, minimising waste and maximising IT infrastructure performance.
Collaboration: Foster seamless collaboration among team members with real-time access to shared documents, files, and communication channels, enhancing teamwork and productivity.
Disaster Recovery: Access comprehensive disaster recovery and backup solutions, ensuring continuity of operations and reducing the risk of data loss.
Innovation: Rapidly prototype, test, and deploy new solutions with access to a wide range of development tools, platforms, and services, accelerating time-to-market for new products and services.
At Clarusto, we offer comprehensive cloud services designed to support businesses throughout their cloud journey, from initial planning and implementation to ongoing management. Our expertise in various cloud platforms and technologies helps businesses unlock the full potential of cloud computing while ensuring optimal performance and risk mitigation.
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Cloud Technology is a general term used to describe a new class of network based computing that takes place over the Internet, basically a step on from Utility Computing a collection/group of integrated and networked hardware, software and Internet infrastructure (called a platform).
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Cloud computing is on-demand availability of computing services in various configurations. Scalability, reliability, security, agility and cost effectiveness are the advantage of using cloud computing services. In cloud computing, we don’t need to buy hardware and other resources; instead we can rent these from cloud providers with pay-per-use schemes. Cloud computing provides a broad way to monitor the hardware and software resources.
Read more ...
https://innovature.ai/what-is-cloud-computing/
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Accelerate Your Online Sales with the Top eCommerce Website Development Company

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#ecommerce#ecommercewebdevelopment#ecommercewebsitedevelopmentcompanyinDelhi#webservices#internetservices#computingservices#onlinesales
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Google Cloud Computing Services We offers application development with integration services. Why trust this! As many big brands like the New York Times, Bloomberg, Cognite, Paypal are part of this network. Easy to upload and download data quickly with low access to time. Focus on providing quality services that fulfill the requirements of the customer.
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Hello #TechGeeks,
Did you know #DistributedCloudComputing and its Examples prove that there is a significant improvement in Computer Network Technologies in the last two decades?
Did you know it is pivotal to understand that the terms distributed systems and cloud computing systems are moderately different?
Hence, learn more about Distributed Cloud Computing and its examples!
Click on the link below!
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"If nothing else, we are committed to failing in a new way"..!! #Success #Inspiration #NYGCI #TeamNYGCI #ComputingServices #MukeshMolugu #Entrepreneur #Leader
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posters and ground promotion
Ground promotion is an important aspect of getting a product known and talked about by consumers. A poster designed in a great way can work in many ways and importantly, raise awareness of a brand. Zenji was tasked with the designing the poster for the record launch party. University of Liverpool (2012) describes the many ways in which a poster should be designed. The poster should not contain an essays worth of words, but instead aim to grab the attention of the desired target audience easily. The poster should be clear of what the poster is trying to advertise from three meters away and every element of the poster should be visible from a minimum of 1.5 meters away. Zenji’s design was good. However, both parties failed to acknowledge University of Liverpool’s (2012) advice, as in fact there were too many names on the poster. Even though the poster could be clearly read from 1.5 meters away, there was an overload of information on the poster. Almost all of the available space on the poster was filled, leaving too many artist names closely packed together, making the poster harder to read. Feedback on the posters once the design had been completed and printed supported the overloading of information statement. However, by the time the posters had been printed, it was too late to change as both funds and time were running out. Future posters will have limited and more basic forms of information on the poster to clearly inform the reader of the brands events. Furthermore, the main heading will be of a larger print and will be too the point. Having ‘Bass Militia Record Launch Party x Coxons Birthday’ was just too long of a heading. All of the reasons added up does not make the effectiveness of the poster very good.
Despite the negative feedback on the posters, they were all distributed on the ground as having promotion is better than having none at all. Posters were postered on walls along and near the club the event would be held in. Posters were all covered all along street sides, bins, allays, university campuses, halls, bedrooms etc. The majority of posters were stuck using wheat paste and others using blue tac or sellotape. All together, around 10 hours of work were used to poster all 500 posters across Bristol. Posters were evenly distributed between areas of interest during the month before and what was left out of the 500 were all distributed and postered without fail a week before the event.
REF
University of Liverpool (2012). Making an Impact with your Poster. [ebook] Liverpool, pp.1-11. Available at: https://www.liverpool.ac.uk/media/livacuk/computingservices/printing/making-an-impact-with-your-poster.pdf [Accessed 20 May 2019].
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Cloud Computing Services Market describes its growth, size, share, Forecast and trends to 2025
Cloud Computing Services Market Insights 2019, Global and Chinese Scenario is a professional and in-depth study on the current state of the global Cloud Computing Services industry with a focus on the Chinese market. The report provides key statistics on the market status of the Cloud Computing Services manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.Overall, the report provides an in-depth insight of 2014-2025 global and Chinese Cloud Computing Services market covering all important parameters.
The key ponits of the report:
1.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
2.The report explores the international and Chinese major industry players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2014-2019 market shares for each company.
3.Through the statistical analysis, the report depicts the global and Chinese total market of Cloud Computing Services industry including capacity, production, production value, cost/profit, supply/demand and Chinese import/export.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report then estimates 2019-2025 market development trends of Cloud Computing Services industry. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.
6.The report makes some important proposals for a new project of Cloud Computing Services Industry before evaluating its feasibility.
Download free PDF Sample copy of Cloud Computing Services Market at
https://www.qandqmarketresearch.com/report-sample/503978
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Theory of Posters
I researched on this site and looked at their online document that explains the theory of posters. This reference material was very useful and allowed me to understand important aspects to consider about creating a poster.
Harvard style reference:
University of Liverpool (2012). Making an impact with your poster. [online]. Available from: https://www.liverpool.ac.uk/media/livacuk/computingservices/printing/making-an-impact-with-your-poster.pdf [Accessed: 28 March 2018]
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