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

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

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

UWindsor researchers are invited to a presentation tomorrow (Oct. 3) on the Shared Hierarchical Academic Research Computing Network (SHARCNet). Come learn about the high-performance, advanced and cloud research computing facilities and services available. No registration required. 🔹 Joyce Entrepreneurship Centre 🔹 Workshop Room 239 🔹 1 to 3 p.m. Please help spread the word! 📣 📣 📣 #UWindsor #Windsor #YQG #Research #Computing

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

Honored to have participated in the National Conference on "Emerging Trends in Data Science and Cloud Computing" at St. Thomas College, Thrissur. This experience has been invaluable in expanding my knowledge and skills in these rapidly evolving fields. Looking forward to applying these insights in future projects and collaborations. #DataScience #CloudComputing #ContinuousLearning #ProfessionalDevelopment

🚨 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

NEW: Wasabi Technologies, a company that provides cloud storage services, has joined SINET (Science Information NETwork), operated by Japan’s National Institute of Informatics [Japan] 国立情報学研究所, as a cloud storage provider. The partnership enables universities and research institutions in Japan to access Wasabi’s storage solutions through SINET’s secure and high-speed network. https://lnkd.in/eebVR6Ye Aki Wakimoto #EdTech #AcademicResearch #CloudStorage #UniversityDataManagement #cloud

Cloud computing can be the least expensive and fastest path to scientific results...so why are cloud costs raised as one of the top obstacles to adoption for biomedical research? One reason is that cloud pricing models are more complex: - On-Demand compute costs the most but in return you get a usage model with no contract commitments and reliable access - Spot compute costs the least and you also get a usage model with no contract commitments, but reliability is not guaranteed, especially for longer running computational work - Between these two extremes you can also get compute at a discount if you agree to a financial commitment to a specific machine or spend level for a year or longer - For NIH funded research there is also STRIDES, a program for principle investigators and their teams that come with pre-negotiated discounts from AWS, GCP, and Azure Don't let others scare you into thinking cloud is expensive. Being able to utilize Spot instance computing effectively is by far the most significant way to realize immediate and significant cost savings without contractual commits and it is quite common to get discounts of 50% or more for the exact same virtual machine you were going to use anyway. Educate those around you including your IT or local HPC organizations so they can become partners in your journey. For others who are farther along in their journeys, would love it if you could share your advice and experiences below with the community. #AWS #HPC #NIH #STRIDES #Genomics #Research