High Performance Computing - The Future is HereMartin Hamilton
These are the slides from my talk on supercomputing to DARC in January 2014. The talk covers everything from the UK's "missing million" young people not in employment, education or training (NEETs) to engaging with the Raspberry Pi generation, and also provides an introduction to supercomputing and our HPC Midlands facility.
The combination of cloud computing, big data analytics, mobility and social media is defining a new compute era that will dominate IT spending growth in the coming years. IT teams are being pressed to build agile data centers that can handle the necessary speed, agility, storage capacity and bandwidth demands of today’s applications and business requirements. In looking at new data center initiatives such as the software-defined data centers, IT must understand what it takes to move forward without subjecting the organization to increased risk of downtime, data breaches, unavailability of applications or loss of data.
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
High performance computing in the cloud is enabling high scale compute- and graphics-intensive workloads across industries, ranging from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications, in areas such as large-scale fluid and materials simulations, 3D content rendering, financial computing, and deep learning. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances (including P2), as well as highlighting customer and partner use-cases across industries.
Attendees learn about best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases: in particular, deep learning training and inference, large-scale simulations, and high performance data analytics.
High Performance Computing - The Future is HereMartin Hamilton
These are the slides from my talk on supercomputing to DARC in January 2014. The talk covers everything from the UK's "missing million" young people not in employment, education or training (NEETs) to engaging with the Raspberry Pi generation, and also provides an introduction to supercomputing and our HPC Midlands facility.
The combination of cloud computing, big data analytics, mobility and social media is defining a new compute era that will dominate IT spending growth in the coming years. IT teams are being pressed to build agile data centers that can handle the necessary speed, agility, storage capacity and bandwidth demands of today’s applications and business requirements. In looking at new data center initiatives such as the software-defined data centers, IT must understand what it takes to move forward without subjecting the organization to increased risk of downtime, data breaches, unavailability of applications or loss of data.
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
High performance computing in the cloud is enabling high scale compute- and graphics-intensive workloads across industries, ranging from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications, in areas such as large-scale fluid and materials simulations, 3D content rendering, financial computing, and deep learning. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances (including P2), as well as highlighting customer and partner use-cases across industries.
Attendees learn about best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases: in particular, deep learning training and inference, large-scale simulations, and high performance data analytics.
I understand that physics and hardware emmaded on the use of finete .pdfanil0878
I understand that physics and hardware emmaded on the use of finete element methods to predict
fluid flow over airplane wings,that progress is likely to continue. However, in recent years, this
progress has been achieved through greatly increased hardware complexity with the rise of
multicore and manycore processors, and this is affecting the ability of application developers to
achieve the full potential of these systems. currently performance is measured on a dense
matrix–matrix multiplication test which has questionable relevance to real applications.the
incredible advances in processor technology and all of the accompanying aspects of computer
system design, such as the memory subsystem and networking
In embedded it seems to combination of both hardware and the software , it is used to be
combined function of action in the systems .while we do that the application to developed in the
achieve the full potential of the systems in advanced processer technology.
Hardware
(1) Memory
Advances in memory technology have struggled to keep pace with the phenomenal advances in
processors. This difficulty in improving the main memory bandwidth led to the development of a
cache hierarchy with data being held in different cache levels within the processor. The idea is
that instead of fetching the required data multiple times from the main memory, it is instead
brought into the cache once and re-used multiple times. Intel allocates about half of the chip to
cache, with the largest LLC (last-level cache) being 30MB in size. IBM\'s new Power8 CPU has
an even larger L3 cache of up to 96MB [4]. By contrast, the largest L2 cache in NVIDIA\'s
GPUs is only 1.5MB.These different hardware design choices are motivated by careful
consideration of the range of applications being run by typical users.
One complication which has become more common and more important in the past few years is
non-uniform memory access. Ten years ago, most shared-memory multiprocessors would have
several CPUs sharing a memory bus to access a single main memory. A final comment on the
memory subsystem concerns the energy cost of moving data compared to performing a single
floating point computation.
(2) Processors
CPUs had a single processing core, and the increase in performance came partly from an increase
in the number of computational pipelines, but mainly through an increase in clock frequency.
Unfortunately, the power consumption is approximately proportional to the cube of the
frequency and this led to CPUs with a power consumption of up to 250W.CPUs address memory
bandwidth limitations by devoting half or more of the chip to LLC, so that small applications can
be held entirely within the cache. They address the 200-cycle latency issue by using very
complex cores which are capable of out-of-order execution , By contrast, GPUs adopt a very
different design philosophy because of the different needs of the graphical applications they
target. A GPU usually has a number of functional u.
The rush to the edge and new applications around AI are causing a shift in design strategies toward the highest performance per watt, rather than the highest performance or lowest power.
I have introduced developments in multi-core computers along with their architectural developments. Also, I have explained about high performance computing, where these are used. At the end, openMP is introduced with many ready to run parallel programs.
Moore’s Law is slowing, but more importantly the world is changing from PCs to smart phones and cloud computing where improvements continue to occur. Improvements are still occurring in other types of ICs such as wireless, GPUs, and 3D camera chips because they lag microprocessors and parallel processing is easier on them than on microprocessors. Data centers are also experiencing rapid improvements as changes in architecture are made, particularly for analyzing unstructured data, i.e., Big Data. These slides discuss the implications for new services in areas such as smart phones, software, and Big Data. The last one-third of the slides summarize alternatives to silicon and von Neumann.
Q1 Memory Fabric Forum: Memory Processor Interface 2023, Focus on CXLMemory Fabric Forum
Thibault Grossi, Sr. Technology & Market Analyst, shares excerpts from the recently published report, Memory Processor Interface, Focus on CXL. The reports provides a taxonomy of CXL market segments and revenue forecasts through 2028.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
As more and more enterprises look at leveraging the capabilities of public clouds, they face an array of important decisions. for example, they must decide which cloud(s) and what technologies they should use, how they operate and manage resources, and how they deploy applications.
I understand that physics and hardware emmaded on the use of finete .pdfanil0878
I understand that physics and hardware emmaded on the use of finete element methods to predict
fluid flow over airplane wings,that progress is likely to continue. However, in recent years, this
progress has been achieved through greatly increased hardware complexity with the rise of
multicore and manycore processors, and this is affecting the ability of application developers to
achieve the full potential of these systems. currently performance is measured on a dense
matrix–matrix multiplication test which has questionable relevance to real applications.the
incredible advances in processor technology and all of the accompanying aspects of computer
system design, such as the memory subsystem and networking
In embedded it seems to combination of both hardware and the software , it is used to be
combined function of action in the systems .while we do that the application to developed in the
achieve the full potential of the systems in advanced processer technology.
Hardware
(1) Memory
Advances in memory technology have struggled to keep pace with the phenomenal advances in
processors. This difficulty in improving the main memory bandwidth led to the development of a
cache hierarchy with data being held in different cache levels within the processor. The idea is
that instead of fetching the required data multiple times from the main memory, it is instead
brought into the cache once and re-used multiple times. Intel allocates about half of the chip to
cache, with the largest LLC (last-level cache) being 30MB in size. IBM\'s new Power8 CPU has
an even larger L3 cache of up to 96MB [4]. By contrast, the largest L2 cache in NVIDIA\'s
GPUs is only 1.5MB.These different hardware design choices are motivated by careful
consideration of the range of applications being run by typical users.
One complication which has become more common and more important in the past few years is
non-uniform memory access. Ten years ago, most shared-memory multiprocessors would have
several CPUs sharing a memory bus to access a single main memory. A final comment on the
memory subsystem concerns the energy cost of moving data compared to performing a single
floating point computation.
(2) Processors
CPUs had a single processing core, and the increase in performance came partly from an increase
in the number of computational pipelines, but mainly through an increase in clock frequency.
Unfortunately, the power consumption is approximately proportional to the cube of the
frequency and this led to CPUs with a power consumption of up to 250W.CPUs address memory
bandwidth limitations by devoting half or more of the chip to LLC, so that small applications can
be held entirely within the cache. They address the 200-cycle latency issue by using very
complex cores which are capable of out-of-order execution , By contrast, GPUs adopt a very
different design philosophy because of the different needs of the graphical applications they
target. A GPU usually has a number of functional u.
The rush to the edge and new applications around AI are causing a shift in design strategies toward the highest performance per watt, rather than the highest performance or lowest power.
I have introduced developments in multi-core computers along with their architectural developments. Also, I have explained about high performance computing, where these are used. At the end, openMP is introduced with many ready to run parallel programs.
Moore’s Law is slowing, but more importantly the world is changing from PCs to smart phones and cloud computing where improvements continue to occur. Improvements are still occurring in other types of ICs such as wireless, GPUs, and 3D camera chips because they lag microprocessors and parallel processing is easier on them than on microprocessors. Data centers are also experiencing rapid improvements as changes in architecture are made, particularly for analyzing unstructured data, i.e., Big Data. These slides discuss the implications for new services in areas such as smart phones, software, and Big Data. The last one-third of the slides summarize alternatives to silicon and von Neumann.
Q1 Memory Fabric Forum: Memory Processor Interface 2023, Focus on CXLMemory Fabric Forum
Thibault Grossi, Sr. Technology & Market Analyst, shares excerpts from the recently published report, Memory Processor Interface, Focus on CXL. The reports provides a taxonomy of CXL market segments and revenue forecasts through 2028.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
In olden days for controlling the manufacturing processes relays were used. Because of excessive consumption of power it is difficult to figure out the linked problems with it, therefore it must be regularly replaced. To solve the problems, Programmable Logic Controller was unveiled. For more information join the electrical automation course to make your career in this field.
As more and more enterprises look at leveraging the capabilities of public clouds, they face an array of important decisions. for example, they must decide which cloud(s) and what technologies they should use, how they operate and manage resources, and how they deploy applications.
Design and Optimize your code for high-performance with Intel® Advisor and I...Tyrone Systems
For all that we’re unable to attend or would like to recap our live webinar Unleash the Secrets of Performance Profiling with Intel® oneAPI Profiling Tools, all the resources you need are available to you!
Learn about locating and removing bottlenecks is an inherent challenge for every application developer. And it’s made more complex when porting an app to a new platform (say, from a CPU to a GPU). Developers must not only identify bottlenecks; they must figure out which parts of the code will benefit from offloading in the first place. This webinar will focus on how to do just that using two profiling tools from Intel: Intel® VTune Amplifier and Intel Advisor.
How can Artificial Intelligence improve software development process?Tyrone Systems
Artificial intelligence has impacted retail, finance, healthcare and many industries around the world. It has transformed the way the software industry functions. With the help of the below SlideShare, let's explore how can Artificial Intelligence improve software development process:
Four ways to digitally transform with HPC in the cloudTyrone Systems
As cloud computing rapidly becomes better, faster, and cheaper than on-premises, no workload will be left untouched, and companies will need to adapt it to remain competitive over the next decade and beyond. So what is the cloud transformation in HPC? Why are on-premises HPC systems not enough anymore? Check out this slideshare to know more.
At Netweb we believe that innovation is a critical business need. As data analytics, high-performance computing and artificial intelligence continue to evolve, we are building solutions and to help you keep pace with the constantly evolving landscape.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
3. The largest supercomputers today have one or two
petaflop/s peak performance with order 100,000 or
more processor cores. The number of processor cores
is two orders of magnitude higher compared to a
decade ago, and will likely increase much faster in
the coming decade, since the clock frequency of
processors will stagnate or even decrease in order to
limit power consumption. It is anticipated that
exaflop/s computers a decade from now will have
billions of threads.
4.
5.
6.
7.
8.
9. Currently technology for long-term data storage is
developing at an even slower pace than memory
and processors, and latencies as well as bandwidth
for input and output (I/O) will almost stagnate
compared to the continued rapid increase in compute
performance.
10.
11. The mean time to failure of any one of the
exorbitantly many components in a modern
supercomputer system can be short compared to the
time to solution of a simulation. The simulation
system, which includes the system software and the
application codes have to be resilient toward failure
of individual components. As processing power
continues to increase, error detection and correction
will become an issue as well, and simulation
methods will have to become fault tolerant.