Jülich Supercomputing Centre (JSC)’s Post

🚀 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗠𝗲𝗲𝘁𝘀 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: 𝗔 𝗖𝗮𝘁𝗮𝗹𝘆𝘀𝘁 𝗳𝗼𝗿 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻! Massive shout-out to Ryan Payton for their insightful article on how cloud computing is transforming the landscape of academic research!  🌐 With 𝗰𝗹𝗼𝘂𝗱'𝘀 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆, research teams can now access 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀, collaborate 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀𝗹𝘆, and 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 discoveries. 💡𝗙𝘂𝗻 𝗳𝗮𝗰𝘁! By 2026, 50% of Academic Research Institutions will completely deploy cloud technology (Gartner).  Here at 𝗥𝗲𝗱𝘂𝗰𝘁𝗦𝘁𝗼𝗿𝗲, we can support these trends with 𝘀𝗮𝗳𝗲 and 𝗲𝗹𝗮𝘀𝘁𝗶𝗰 data solutions that would take innovation to the limit of human ingenuity.  #CloudComputing #AcademicResearch #Innovation #FutureofResearch #ReductStore

Exciting news - the first phase of the new UCL ARC TRE is now available. This iteration is on AWS, but has been designed so that it can be transitioned to our local cloud resources in the future. https://lnkd.in/e9iZnpP8

PNNL and Microsoft are pioneering cloud computing in chemistry, with a new proof-of-concept showing how cloud resources can complement traditional HPC. #CloudComputing #HPCWire https://ow.ly/R5Ns50U98rQ

🚨 Cloud Computing for Bioinformaticians—Demystified! 🚨 Here’s what you REALLY need to know about cloud computing if you're in bioinformatics 🧬👇 1/ Cloud computing is a buzzword, but what does it actually mean? 🤔 At its core: Cloud computing is just someone else's computer sitting in their backyard. You connect to it, use their resources, and scale up as needed. Easy, right? and of course pay for it :) 2/ For bioinformatics, this often means using bigger remote computers (or many computers at once) to analyze your data. You’ll typically connect via SSH and interact with it using UNIX commands—no point-and-click GUIs here. 3/ If you've ever used a high-performance computing cluster (HPC) at your academic institute, congratulations! 🎉 You already have 90% of the skills needed for cloud computing. Platforms like AWS, GCP, or Azure operate similarly but with more flexibility and scalability. 4/ Job hunting? 🧐 If a position lists "cloud computing experience" but you’ve only worked with HPCs—apply anyway! Your HPC skills translate well. Just emphasize your UNIX proficiency and ability to adapt to new platforms. 5/ Want to dive deeper? 💻 Here are some life-science-specific resources to get started: 🛠️ AWS for Bioinformatics:https://lnkd.in/eGEFExkB 🛠️ GCP for Bioinformatics:https://lnkd.in/e-cFKhFh 6/ TL;DR: Cloud computing = someone else's computer with bigger resources. If you know HPCs, you're ready to scale up with AWS, GCP, or Azure. What’s stopping you from exploring it today? 🚀 Questions? Let me know 👇 I hope you've found this post helpful. Follow me for more. Subscribe to my FREE newsletter https://lnkd.in/erw83Svn

Bioinformaticians are moving from HPC clusters to public cloud platforms for scalability and flexibility.💻 Our latest blog post by our ambassador Lynn Langit and David Haley explores key steps in migrating Nextflow workflows to the cloud, using Google Cloud as a case study. From preparing the environment to running jobs on Google Batch, learn how to make this transition smoothly. Whether you're using GCP or another cloud provider, the insights shared will benefit your migration process. 👉Read more here: https://hubs.la/Q02VPw2_0

I am happy to share that my co-authored work has been accepted for publication in the Journal of Computational Science. It centers on the long-term prediction of cloud resource utilization and dynamic resource reservation planning for HPC machines. #machinelearning

Scality just gave one university a lesson in scalable storage. Facing significant challenges with its legacy file storage systems, Liverpool John Moores University (LJMU) wanted to seamlessly scale for capacity as needed. But it didn’t want to overhaul and disrupt the end user experience. With CTERA and Scality, LJMU has the modern cloud file storage solution it needed, along with backup and DR benefits. Other benefits include: ✅ Scalable solution with unlimited edge capacity ✅ Simple data recovery and previous version restore ✅ Users access same network drive as previously architected ✅ Modern file storage and collaboration for 1,000 faculty and students ✅ Local performance with elastic scale ✅ Legacy NAS consolidation, TCO reduction ✅ Cost-effective archive on-prem The combined solution enables a seamless migration from legacy NAS to infinite cloud storage capacity with little to no impact for the end user. Read more here: https://lnkd.in/dn7nGfT8

The perspective of this research is analytical and integrative, focusing on synthesizing a vast array of academic literature to discern patterns and trends in cloud computing usage within organizational contexts. It emphasizes the importance of visualizing data to uncover relationships between authors, institutions, and research themes. This approach not only highlights the current state of knowledge but also identifies emerging areas of interest, such as security and big data, providing a roadmap for future research and practical applications in the field of cloud computing.

Best Practices for Accelerating Research Compute with AWS !

I am excited to share that I have completed the Google Cloud Essentials Boostcamp at - Istanbul Data Science Academy! 🚀 In this program, I learned about topics such as: ▪️ Introduction to Google Cloud ▪️ Virtual Machines and Networking in the Cloud ▪️ Storage in the Cloud ▪️ Containers and Applications in the Cloud ▪️ Prompt Engineering Additionally, I completed laboratory projects in the Google Cloud environment, including Google Cloud Fundamentals: Getting Started with Cloud Marketplace, VPC Networking, Google Compute Engine, Cloud Storage, and Cloud SQL. #GoogleCloud #CloudComputing