Handbook: IoT Solutions Powered by Artificial Intelligence & Machine Learning

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Partner with us for unlocking the potential of Machine Learning algorithms for your business challenges. Our solutions drive business automation through improved and accurate decision-making. https://www.embitel.com/wp-content/uploads/2019/pdf/AI_and_ML_handbook.pdf

Handbook: IoT Solutions Powered by Artificial Intelligence & Machine Learning

Magento is an open source eCommerce platform that provides basic and essential features for free. Magento comes with robust features, flexibility, and endless opportunities for customization of templates based on your eCommerce solution architecture. It is easy to build and manage online stores. Magento can be hosted on cloud or on premises. Magento Commerce powers a significant share of the digital commerce websites on a global scale. Magento ecommerce stores are characterized by rich features, engaging interfaces and hassle-free third-party integrations that deliver revolutionary shopping experiences to users. https://www.embitel.com/ecommerce-services/magento-development-services/

What is an IoT Gateway and How it Works?

Embitel Technologies (I) PVT LTD

In an IoT foundation, the IoT gateway is an important part. In the event that there is countless IoT devices sending information to the cloud, it is liked to incorporate IoT gateway devices to smooth out this network. IoT gateways are pivotal parts of an IoT arrangement, as they empower availability between the IoT sensor network and the cloud. Since they are situated between the outer web and the nearby intranet, they structure a vital intersection of network. This bunch of IoT gateway devices gets information from the IoT sensor hubs. If a particular entryway gadget goes down, it moves applications and gadget associations with the adjoining door which upholds the network and information move from that point. https://www.embitel.com/iot-gateway-device-development-services

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Embitel Technologies (I) PVT LTD

Telematics is a disruptive automotive technology that utilizes IT and communication protocols to send, receive and store information pertaining to remote vehicles. Telematics can be effectively used in various industries such as agriculture & forestry, construction, manufacturing, freight & delivery, retail, finance/insurance, mining, etc. https://www.embitel.com/iot-insights/what-is-telematics

UDS Software Stack, designed and developed by our experienced automotive team, is a ready-to-deploy, stable and pre-tested solution. UDS protocol stack has helped our global customers to reduce ECU product development cost and time. The UDS protocol stack offers a set of APIs to facilitate communication between the low level software and the application software. https://www.embitel.com/wp-content/uploads/2018/02/UDS-fact-sheet_1.1.pdf

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Providing Globus Services to Users of JASMIN for Environmental Data Analysis

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JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.

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Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.

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As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.

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The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.

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In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.

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Understanding Globus Data Transfers with NetSage

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NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?

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Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

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Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.

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Handbook: IoT Solutions Powered by Artificial Intelligence & Machine Learning

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