OpenACC is a programming model for parallel computing on CPUs and GPUs. A performance portable molecular simulation achieved 11.7x speedup on a GPU compared to CPU using OpenACC. With simple compiler directives, a program's parallel code can run on different processor architectures with good performance. OpenACC allows for quicker development through portability and performance across systems like ARM, POWER, Sunway, and x86 CPUs and GPUs with only minor code changes of under 100 lines.
This document summarizes highlights from OpenACC in May 2017, including:
- OpenACC provides a directives-based approach to parallel programming for performance and portability on CPUs and GPUs.
- A molecular simulation saw an 11.7x speedup using a GPU compared to a CPU.
- Adding simple OpenACC directives to serial code enabled parallel execution on different hardware with minimal code changes.
- Upcoming OpenACC events in June 2017 include a user group meeting and workshops at the ISC conference.
Stay up-to-date with the OpenACC Monthly Highlights. February's edition covers the updated specification OpenACC 3.2, upcoming GPU Hackathons and Bootcamps, OpenACC's BOF at SC21 , recent research, new resources and more!
Stay up-to-date with the OpenACC Monthly Highlights. July's edition covers the OpenACC Summit 2021, GCC, upcoming GPU Hackathons and Bootcamps, Sunita Chandrasekaran named as PI for SOLLVE Project, recent research and more!
OpenACC is a programming model for parallel computing on CPUs and GPUs. This document highlights that the PGI OpenACC compiler now supports the NVIDIA Tesla V100 GPU and CUDA unified memory. It also summarizes an evaluation paper finding that OpenACC provides a flexible and portable approach for GPU programming compared to lower-level models like OpenCL. Upcoming events involving OpenACC are listed.
Stay up-to-date with the OpenACC Monthly Highlights. July's edition covers the OpenACC Summit 2021, upcoming GPU Hackathons and Bootcamps, PEARC21 panel review , recent research, new resources and more!
OpenACC is a programming model for parallel computing on CPUs and GPUs. A performance portable molecular simulation achieved 11.7x speedup on a GPU compared to CPU using OpenACC. With simple compiler directives, a program's parallel code can run on different processor architectures with good performance. OpenACC allows for quicker development through portability and performance across systems like ARM, POWER, Sunway, and x86 CPUs and GPUs with only minor code changes of under 100 lines.
This document summarizes highlights from OpenACC in May 2017, including:
- OpenACC provides a directives-based approach to parallel programming for performance and portability on CPUs and GPUs.
- A molecular simulation saw an 11.7x speedup using a GPU compared to a CPU.
- Adding simple OpenACC directives to serial code enabled parallel execution on different hardware with minimal code changes.
- Upcoming OpenACC events in June 2017 include a user group meeting and workshops at the ISC conference.
Stay up-to-date with the OpenACC Monthly Highlights. February's edition covers the updated specification OpenACC 3.2, upcoming GPU Hackathons and Bootcamps, OpenACC's BOF at SC21 , recent research, new resources and more!
Stay up-to-date with the OpenACC Monthly Highlights. July's edition covers the OpenACC Summit 2021, GCC, upcoming GPU Hackathons and Bootcamps, Sunita Chandrasekaran named as PI for SOLLVE Project, recent research and more!
OpenACC is a programming model for parallel computing on CPUs and GPUs. This document highlights that the PGI OpenACC compiler now supports the NVIDIA Tesla V100 GPU and CUDA unified memory. It also summarizes an evaluation paper finding that OpenACC provides a flexible and portable approach for GPU programming compared to lower-level models like OpenCL. Upcoming events involving OpenACC are listed.
Stay up-to-date with the OpenACC Monthly Highlights. July's edition covers the OpenACC Summit 2021, upcoming GPU Hackathons and Bootcamps, PEARC21 panel review , recent research, new resources and more!
Jensen Huang, founder and CEO of NVIDIA, discusses the rise of GPU computing and artificial intelligence. He outlines how GPUs have enabled massive performance increases for deep learning workloads. NVIDIA is introducing new products like the Tesla V100 GPU and DGX-1 server to further accelerate AI research and commercial applications. These announcements position NVIDIA to power continued growth in AI and deep learning.
In this deck from FOSDEM'19, Thomas Schwinge presents: Speeding up Programs with OpenACC in GCC.
"Proven in production use for decades, GCC (the GNU Compiler Collection) offers C, C++, Fortran, and other compilers for a multitude of target systems. Over the last few years, we -- formerly known as "CodeSourcery", now a group in "Mentor, a Siemens Business" -- added support for the directive-based OpenACC programming model. Requiring only few changes to your existing source code, OpenACC allows for easy parallelization and code offloading to accelerators such as GPUs. We will present a short introduction of GCC and OpenACC, implementation status, examples, and performance results.
OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model."
Watch the video: https://wp.me/p3RLHQ-jOR
Learn more: https://fosdem.org/2019/
and
https://www.openacc.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers working on applications for the new Frontier supercomputer, using OpenACC for weather forecasting, upcoming GPU Hackathons and Bootcamps, and new resources!
In this deck from the University of Houston CACDS HPC Workshop, Jeff Larkin from Nvidia presents: The Past, Present, and Future of OpenACC.
"OpenACC is an open specification for programming accelerators with compiler directives. It aims to provide a simple path for accelerating existing applications for a wide range of devices in a performance portable way. This talk with discuss the history and goals of OpenACC, how it is being used today, and what challenges it will address in the future."
Watch the video presentation: http://wp.me/p3RLHQ-dTm
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers pseudo random number generation, the first-ever MONAI Bootcamp, upcoming GPU Hackathons and Bootcamps, and new resources!
OpenACC April Monthly Highlights are full of the latest OpenACC news, events, resources and more. Learn about upcoming events, including ISC, and explore GTC recorded sessions covering a variety of OpenACC topics.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
Check out the latest in OpenACC this month including the PGI 18.1 release, GTC 2018 activity, paper highlights, upcoming events and a call for paper submissions.
GPU-Accelerating A Deep Learning Anomaly Detection PlatformNVIDIA
Learn from Satish Dandu, Michael Balint, and Joshua Patterson on how to accelerate anomaly detection and inferencing by using deep learning and GPU data pipelines.
This document summarizes a project that aims to improve computational efficiency in solving large sparse linear systems for modeling ablative thermal protection system surfaces by introducing GPU techniques. Three approaches have been attempted so far: 1) using the AMGX library, 2) using new sparse matrix subclasses to perform matrix-vector products on the GPU, and 3) adjusting the CUDA_ITSOL library. The source code uses the PETSc library and takes multiple rounds to converge. Profiling found most time is spent in preconditioning and solving phases, which could benefit from GPU acceleration. The next step is to fully integrate AMGX and test different CPU-GPU ratios. Version control tools like Git are used to manage the code and track changes
Alison B Lowndes - Fueling the Artificial Intelligence Revolution with Gaming...Codemotion
This document discusses how gaming technologies like the Unreal Engine are fueling advances in artificial intelligence. It notes that gaming GPUs are well-suited for tasks like AI and deep learning due to their optimization for latency, throughput, and parallel processing. NVIDIA GPUs and frameworks like CUDA, Caffe2, TensorFlow, PyTorch and NVIDIA's Deep Learning SDK are enabling powerful deep learning capabilities. Applications discussed include self-driving cars, healthcare, robotics, reinforcement learning, and more. The document emphasizes that GPU-accelerated AI is being applied across industries and is powering advances in areas like autonomous systems, health, and scientific discovery.
Depending on your use cases you may need to access your databases which different patterns and technologies (CRUD+UI, batch, reactive, IoT, ...).
At DataStax, the developer advocates team implements reference applications for developers. We had the chance to implement multiple approaches and can provide feedback. KillrVideo.com is one of this application, it has been written in 3 languages (Java, C# and Node) and implement API with REST, Grpc and GraphQL.
Though live session, browsing real code, you will see implementation details, lessons learnt and get working source code in Github as takeaway.
DevOps Fest 2020. Дмитрий Кудрявцев. Реализация GitOps на Kubernetes. ArgoCDDevOps_Fest
The document discusses GitOps and ArgoCD for managing Kubernetes applications. It defines GitOps as storing the desired state of systems in Git repositories and using continuous delivery tools to ensure the live systems match that state. ArgoCD is introduced as a GitOps tool that monitors applications and ensures the running state matches the target state defined in Git. Key features of ArgoCD include a web UI, automated deployments, support for different config formats, and rollback capabilities. The document provides an example of using Kustomize to customize Kubernetes resources through overlays.
1) Mercari has transitioned some services to microservices architecture running on Kubernetes in the US region to improve development velocity.
2) Key challenges in operating microservices include deployment automation using Spinnaker, and observability of distributed systems through request tracing, logging, and metrics.
3) The architecture is still evolving with discussions on service mesh and chaos engineering to improve reliability in the face of failures. Microservices adoption is just beginning in the JP region.
Handling Kubernetes clusters at scale can be challenging. This talk will revolve around my feedback and personal opinion regarding several configuration/deployment tools I have used and are currently using such Terraform, ArgoCD, Kustomize and Helm.
Feel free to send me a tweet if you have any questions :)
Rehosting apps between k8s clusters and automating deployment using crane c...LibbySchulze
Crane is a tool for migrating applications between Kubernetes clusters. It can migrate state like persistent volumes and secrets, reconstruct Kubernetes manifests, and automate deployment by generating pipelines. Crane addresses a need for migrating both automated and manually deployed applications, and can help customers improve their situations by adopting continuous delivery during a migration.
Yannis Zarkadas. Enterprise data science workflows on kubeflowMarynaHoldaieva
This document discusses using GitOps and multi-tenancy to provide an enterprise data science experience on Kubeflow. It describes how to deploy and manage Kubeflow using GitOps to simplify operations and accelerate time to production. GitOps allows storing all configuration in Git for versioning, rollbacks, and collaboration. Kustomize is used to manage configurations and integrate changes from upstream Kubeflow repositories while allowing customizations. This provides reproducibility, isolation of tenants, and easy upgrades in a production-ready Kubeflow cluster.
Jensen Huang, founder and CEO of NVIDIA, discusses the rise of GPU computing and artificial intelligence. He outlines how GPUs have enabled massive performance increases for deep learning workloads. NVIDIA is introducing new products like the Tesla V100 GPU and DGX-1 server to further accelerate AI research and commercial applications. These announcements position NVIDIA to power continued growth in AI and deep learning.
In this deck from FOSDEM'19, Thomas Schwinge presents: Speeding up Programs with OpenACC in GCC.
"Proven in production use for decades, GCC (the GNU Compiler Collection) offers C, C++, Fortran, and other compilers for a multitude of target systems. Over the last few years, we -- formerly known as "CodeSourcery", now a group in "Mentor, a Siemens Business" -- added support for the directive-based OpenACC programming model. Requiring only few changes to your existing source code, OpenACC allows for easy parallelization and code offloading to accelerators such as GPUs. We will present a short introduction of GCC and OpenACC, implementation status, examples, and performance results.
OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model."
Watch the video: https://wp.me/p3RLHQ-jOR
Learn more: https://fosdem.org/2019/
and
https://www.openacc.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers working on applications for the new Frontier supercomputer, using OpenACC for weather forecasting, upcoming GPU Hackathons and Bootcamps, and new resources!
In this deck from the University of Houston CACDS HPC Workshop, Jeff Larkin from Nvidia presents: The Past, Present, and Future of OpenACC.
"OpenACC is an open specification for programming accelerators with compiler directives. It aims to provide a simple path for accelerating existing applications for a wide range of devices in a performance portable way. This talk with discuss the history and goals of OpenACC, how it is being used today, and what challenges it will address in the future."
Watch the video presentation: http://wp.me/p3RLHQ-dTm
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers pseudo random number generation, the first-ever MONAI Bootcamp, upcoming GPU Hackathons and Bootcamps, and new resources!
OpenACC April Monthly Highlights are full of the latest OpenACC news, events, resources and more. Learn about upcoming events, including ISC, and explore GTC recorded sessions covering a variety of OpenACC topics.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
Check out the latest in OpenACC this month including the PGI 18.1 release, GTC 2018 activity, paper highlights, upcoming events and a call for paper submissions.
GPU-Accelerating A Deep Learning Anomaly Detection PlatformNVIDIA
Learn from Satish Dandu, Michael Balint, and Joshua Patterson on how to accelerate anomaly detection and inferencing by using deep learning and GPU data pipelines.
This document summarizes a project that aims to improve computational efficiency in solving large sparse linear systems for modeling ablative thermal protection system surfaces by introducing GPU techniques. Three approaches have been attempted so far: 1) using the AMGX library, 2) using new sparse matrix subclasses to perform matrix-vector products on the GPU, and 3) adjusting the CUDA_ITSOL library. The source code uses the PETSc library and takes multiple rounds to converge. Profiling found most time is spent in preconditioning and solving phases, which could benefit from GPU acceleration. The next step is to fully integrate AMGX and test different CPU-GPU ratios. Version control tools like Git are used to manage the code and track changes
Alison B Lowndes - Fueling the Artificial Intelligence Revolution with Gaming...Codemotion
This document discusses how gaming technologies like the Unreal Engine are fueling advances in artificial intelligence. It notes that gaming GPUs are well-suited for tasks like AI and deep learning due to their optimization for latency, throughput, and parallel processing. NVIDIA GPUs and frameworks like CUDA, Caffe2, TensorFlow, PyTorch and NVIDIA's Deep Learning SDK are enabling powerful deep learning capabilities. Applications discussed include self-driving cars, healthcare, robotics, reinforcement learning, and more. The document emphasizes that GPU-accelerated AI is being applied across industries and is powering advances in areas like autonomous systems, health, and scientific discovery.
Depending on your use cases you may need to access your databases which different patterns and technologies (CRUD+UI, batch, reactive, IoT, ...).
At DataStax, the developer advocates team implements reference applications for developers. We had the chance to implement multiple approaches and can provide feedback. KillrVideo.com is one of this application, it has been written in 3 languages (Java, C# and Node) and implement API with REST, Grpc and GraphQL.
Though live session, browsing real code, you will see implementation details, lessons learnt and get working source code in Github as takeaway.
DevOps Fest 2020. Дмитрий Кудрявцев. Реализация GitOps на Kubernetes. ArgoCDDevOps_Fest
The document discusses GitOps and ArgoCD for managing Kubernetes applications. It defines GitOps as storing the desired state of systems in Git repositories and using continuous delivery tools to ensure the live systems match that state. ArgoCD is introduced as a GitOps tool that monitors applications and ensures the running state matches the target state defined in Git. Key features of ArgoCD include a web UI, automated deployments, support for different config formats, and rollback capabilities. The document provides an example of using Kustomize to customize Kubernetes resources through overlays.
1) Mercari has transitioned some services to microservices architecture running on Kubernetes in the US region to improve development velocity.
2) Key challenges in operating microservices include deployment automation using Spinnaker, and observability of distributed systems through request tracing, logging, and metrics.
3) The architecture is still evolving with discussions on service mesh and chaos engineering to improve reliability in the face of failures. Microservices adoption is just beginning in the JP region.
Handling Kubernetes clusters at scale can be challenging. This talk will revolve around my feedback and personal opinion regarding several configuration/deployment tools I have used and are currently using such Terraform, ArgoCD, Kustomize and Helm.
Feel free to send me a tweet if you have any questions :)
Rehosting apps between k8s clusters and automating deployment using crane c...LibbySchulze
Crane is a tool for migrating applications between Kubernetes clusters. It can migrate state like persistent volumes and secrets, reconstruct Kubernetes manifests, and automate deployment by generating pipelines. Crane addresses a need for migrating both automated and manually deployed applications, and can help customers improve their situations by adopting continuous delivery during a migration.
Yannis Zarkadas. Enterprise data science workflows on kubeflowMarynaHoldaieva
This document discusses using GitOps and multi-tenancy to provide an enterprise data science experience on Kubeflow. It describes how to deploy and manage Kubeflow using GitOps to simplify operations and accelerate time to production. GitOps allows storing all configuration in Git for versioning, rollbacks, and collaboration. Kustomize is used to manage configurations and integrate changes from upstream Kubeflow repositories while allowing customizations. This provides reproducibility, isolation of tenants, and easy upgrades in a production-ready Kubeflow cluster.
Crowning its award-winning lineup of Pascal™ architecture-based GPUs, NVIDIA unveiled its fastest gaming GPU ever -- the GeForce® GTX 1080 Ti. Packed with extreme gaming horsepower, the GeForce GTX 1080 Ti delivers up to 35 percent more performance of the GTX 1080 and comes with 11GB of next-generation GDDR5X memory, running at a staggering 11Gbps, for the ultimate in memory bandwidth and gaming prowess. GTX 1080 Ti graphics cards, including the NVIDIA Founders Edition, will be available worldwide from NVIDIA GeForce partners beginning March 10, and starting at $699.
In this week's top 5 #deeplearning, hear our latest #AI podcast, identifying skin cancer, and how IBM is powering their cognitive computers with NVIDIA's AI tools.
Get the latest announcements on Microsoft and NVIDIA's HGX-1 platform for artificial intelligence cloud computing, Facebook's new AI server, and the launch of Jetson TX2 for AI computing in cameras, sensors, and more.
A Year of Innovation Using the DGX-1 AI SupercomputerNVIDIA
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Benefits of Deploying VMware Horizon and vSphere with NVIDIA GRID vGPUNVIDIA
IMAGINE THE POSSIBILITIES…
Early Adopters Share Their Projected Benefits of Deploying VMware Horizon and vSphere with NVIDIA GRID vGPU.
PRODUCTIVITY: 20% improvement in workflow cycle time for an engineering firm’s remote Catia users.
SCALABILITY: 20K+ engineers accessing a single, centralized desktop image for their virtualized Siemens NX workstations.
COLLABORATION: 14.7K km between an engineering firm’s Revit teams collaborating from offices in Holland and Australia workstations.
EFFICIENCY: 5K employees at a global transportation company receiving remote video training instead of traveling.
COST: $10M+ in product development savings for an automaker through intellectual property protection and real-time supplier negotiations.
NVIDIA makes a positive impact in the world through our inventions, the people who put them to use, and a culture that keeps them coming. Our employees are deeply passionate about corporate responsibility and drive our program and impact. Here are some of their successes in 2014.
How AI Is Accelerating Retail TransformationNVIDIA
The document discusses how artificial intelligence and deep learning technologies are accelerating the transformation of the retail sector. It provides examples of startups applying these technologies in areas like computer vision, natural language processing, and recommendation engines to improve consumer experiences with personalized product search, fitting, and recommendations. The volume of data from mobile, POS, social media and other sources is fueling this transformation by enabling AI to gain deeper insights into customer preferences.
Learn the fundamentals of Deep Learning, Machine Learning, and AI, how they've impacted everyday technology, and what's coming next in Artificial Intelligence technology.
Mansa systems salesforce_customer_analytics_servicesMansa Systems
This document provides an overview of Salesforce.com Customer Analytics Services which includes on demand reporting and analysis, customized reports and dashboards, tracking unique metrics and KPIs, and mashing up additional data sets. It allows business users to analyze sales pipelines, marketing campaigns, and customer service performance, while administrators can build historical reports. The service works by collecting data from Salesforce applications and loading it automatically into the analytics platform. It is provided by Mansa Systems, a global consulting firm with expertise in Salesforce implementations, customizations, and applications.
BusinessIntelligenze is an expert BI company that specializes in creating and deploying cloud and mobile solutions. They offer a SaaS business intelligence platform that allows business users to access and analyze data independently through an easy-to-use interface. Their methodology focuses on fast deployments and low costs. They have expertise across technologies and take a partnership approach to seamlessly extend their clients' organizations.
This is my visual resume. I'm playing with other presentation approaches, but really love how this changes things. I never thought the linear style of packing a page with buzz words and key phrases ever really made sense anyway! Hope you like what you see.
Most days I work from home for B Wyze Solutions:
- Designing, building, and quality checking SH!FT online training courses,
- Editing marketing communications, or
- Assessing the quality of either recorded calls or online proctored exam sessions.
Deb Hide has skills in catalog pagination, web design, and web analytics. She has experience developing products such as arch supports, intimate apparel, pedometers, and ladies shoe inserts with high profit margins of 75-90%. Deb has also laid out 16 yearly catalogs and 11 yearly publications. She has developed corporate home pages and 1100 individual store websites. Deb performs business and web site analysis including web analytics, pricing reviews, and assortment analysis.
Which metrics matter to Call Center Managers?Spectrum
A brief article on metrics that managers are asking for on their call center dashboard. The metrics also vary based on the industry, group or department within the contact center. many articles write about the metrics that you must have in your reports. But what is not considered is the managers view point, goals, and objectives.
Get updates about OpenACC. This month focuses on: A new OpenACC Online Course, book and number of exciting events highlighted in the OpenACC September Update
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the first remote GPU Hackathons, a complete schedule of upcoming events, using OpenACC for a biophysics problem, NVIDIA HPC SDK, GCC 10, new resources and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers an upcoming OpenACC webinar, complete schedule of GPU hackathons, recent research papers and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the most recent 2019 GPU Hackathons, a complete schedule of upcoming events, new resources and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the Organization's newly elected president, an updated OpenACC 3.1 specification, upcoming 2021 GPU Hackathons, new resources and more!
OpenACC and Open Hackathons Monthly Highlights: July 2022.pptxOpenACC
Stay up-to-date with the OpenACC and Open Hackathons Monthly Highlights. July’s edition covers the 2022 OpenACC and Hackathons Summit, NVIDIA’s Applied Research Accelerator Program, upcoming Open Hackathons and Bootcamps, recent research, new resources, and more!
Stay up-to-date with the OpenACC Monthly Highlights. June's edition covers the OpenACC Summit 2021, NVIDIA GTC'21 on-demand sessions, upcoming GPU Hackathons and Bootcamps, Intersect360 Research HPC market forecast, recent research, new resources and more!
This document provides an update on PGI compilers and tools for heterogeneous supercomputing. It discusses PGI's support for OpenACC directives to accelerate applications on multicore CPUs and NVIDIA GPUs from a single source. It highlights new compiler features including support for Intel Skylake, AMD EPYC and IBM POWER9 CPUs as well as NVIDIA Volta GPUs. Benchmark results show strong performance of OpenACC applications on these platforms. The document also discusses the growing adoption of OpenACC in HPC applications and resources available to support OpenACC development.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
This document provides highlights from the October 2017 OpenACC monthly newsletter. It summarizes benchmarks showing speedups of 2.25x for Gaussian 16 and 5.15x for ANSYS Fluent using OpenACC compared to CPU-only versions. It also lists several top HPC applications now adopting OpenACC and provides the schedule for OpenACC talks, workshops, and labs at the SC17 conference in November.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming OpenACC Summit, a complete schedule of upcoming events, using OpenACC to optimize structural analysis, new resources and more!
This document provides a summary of highlights from the 2020 GPU Technology Conference (GTC) related to OpenACC, including:
- OpenACC is a programming model for parallel computing on CPUs and GPUs using compiler directives.
- GTC 2020 content included sessions on using OpenACC across various disciplines like weather modeling, seismic imaging, and computational fluid dynamics.
- Presentations, tutorials, posters, and "Connect with Experts" sessions provided information on OpenACC optimizations, multi-GPU programming, and applications in various domains.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the on-demand sessions from the OpenACC Summit 2020, upcoming GPU Hackathons and Bootcamps, an OpenACC-to-FPGA framework, the NERSC GPU Hackathon, new resources and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers highlights from the OpenACC Annual Meeting, SC19, recent GPU Hackathons and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the newly released PGI 19.7, the upcoming 2019 OpenACC Annual Meeting, GPU Bootcamp at RIKEN R-CCS, a complete schedule of GPU hackathons and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming OpenACC Summit and GPU Bootcamp, a complete schedule of upcoming events, OpenACC and base language parallelism, FortranCon2020, VASP 6, OmpSs-2@OpenACC version of the ZIPC application, new resources and more!
This document provides a monthly highlights summary of OpenACC:
- OpenACC is a programming model for parallel computing on CPUs and GPUs using compiler directives to add parallelism to existing serial code.
- OpenACC is seeing wide adoption across major HPC applications and allows performance portability between CPU and GPU.
- The document highlights recent optimizations, events, publications and resources around OpenACC programming.
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
NVIDIA pioneered accelerated computing and GPUs for AI. It has reinvented itself through innovations like RTX ray tracing and Omniverse simulation. NVIDIA now powers the world's top supercomputers, data centers, industries and is a leader in autonomous vehicles and healthcare with its AI platforms.
Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference.
Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes.
“AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home.
Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life.
More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic.
“NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.”
This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
Broadening support for GPU-accelerated supercomputing to a fast-growing new platform, NVIDIA founder and CEO Jensen Huang introduced a reference design for building GPU-accelerated Arm servers, with wide industry backing.
NVIDIA BioBert, an optimized version of BioBert was created specifically for biomedical and clinical domains, providing this community easy access to state-of-the-art NLP models.
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
The document outlines 7 ways to boost AI research including streamlining workflow productivity through container technology on NVIDIA's NGC container registry, accessing hundreds of optimized applications through NVIDIA's GPU applications catalog, iterating large datasets faster through discounted NVIDIA TITAN RTX GPUs, solving real-world problems through NVIDIA's deep learning institute courses, gaining insights from industry leaders through talks at the GPU technology conference, acquiring high quality research data through open databases, and learning more about NVIDIA's solutions for higher education and research.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
2. OpenACC is a directives-
based programming
approach to parallel
computing designed for
performance and portability
on CPUs and GPUs.
3. PERFORMANCE PORTABLE PROGRAMMING MODEL FOR HPC
Powerful
LSDALTON
Simulation of molecular energies
1.0x
11.7x
CPU GPU
Big Performance
CCSD(T) Module, Alanine-3
Titan System: AMD CPU vs Tesla K20X
SpeedupvsCPU
Simple Portable
main()
{
<serial code>
#pragma acc kernels
{
<parallel code>
}
}
Add Simple Compiler Hint ARM
PEZY
POWER
Sunway
x86 CPU
x86 Xeon Phi
NVIDIA GPU
Quicker Development
Lines of Code Modified
<100 Lines
# of Weeks Required
1 Week
5. NEW PGI 2017
Parallel Fortran, C, C++, OpenACC Compilers and Tools
OpenACC 2.5 for Tesla P100 GPUs and multicore
CPUs; CUDA 8.0 support
OpenPOWER CPU performance enhancements of
5-10%
Comprehensive C++14 support
GNU 6.2 interoperability
Additional tuned numerical intrinsic functions for
Haswell and Broadwell
DOWNLOAD NOW
6. 3 STEPS TO MORE SCIENCE TUTORIAL
Simple tutorial designed to help scientists to start with GPUs using
libraries and OpenACC directives.
3 Tutorial Videos:
1. Step 1: Analyze: Use a profiler to identify hot
spots
2. Step 2: Parallelize: Expose Parallelism
3. Step 3: Optimize: Manage data movements
Free PGI Community Edition
WATCH NOW
7. PAPERS
Acceleration of Element-by-Element Kernel in Unstructured Implicit
Low-order Finite-element Earthquake Simulation using OpenACC
on Pascal GPUs
“OpenACC porting approach enables high
performance with relatively low
development costs. When comparing eight
K computer nodes and eight NVIDIA Pascal
P100 GPUs, we achieve 23.1 times speedup
for the element-by-element kernel, which
leads to 16.7 times speedup for the 3 x 3
block Jacobi preconditional conjugate
gradient finite-element solver.”
DOWNLOAD NOW
8. Oak Ridge National Lab on OpenACC being a
user-driven standard: Longtime User Requests
Added to Next Version of OpenACC
Five Hackathons in 2017 to Train a New
Generation on GPU Accelerated Computing
ARTICLES AND BLOG POSTS
READ NOW
READ NOW
9. CALL FOR PAPERS
EVENT DUE DATE LINK
GPU Hackathon at Brookhaven
National Lab
March 15th
, 2017 https://www.bnl.gov/gpuhackathon/.
2nd International Workshop on
Performance Portable Programming
Models for Accelerators
April 3, 2017
http://www.csm.ornl.gov/workshops/p3
ma2017/
10. UPCOMING HACKATHONS
LOCATION DATE LINK
Forschungzentrum
Juelich, Juelich, Germany March 6th - 10th https://indico-jsc.fz-juelich.de/event/32/
Brookhaven National
Laboratory, Upton, NY
June 5th
– 9th
https://www.bnl.gov/gpuhackathon/.
For complete list of Hackathons visit: https://www.olcf.ornl.gov/training-event/2017-gpu-hackathons/