Leibniz Supercomputing Centre ’s Post

Programming for #supercomputers or massively parallel systems is difficult. Scientists and researchers can find out more at the #HIPSWorkshop, which will take place in Milan from 27 May 2025. LRZ researcher Amir Raoofy is co-organising the #workshop - the organising team is still looking for #presentations on #programming high-performance computers until 17 January 2025. This year's focus is on new programming schemes, working with #GPUs and #accelerators and integrating AI methods into classic HPC. More info: https://lnkd.in/dgbpPCkG #programming, #supercomputing, #parallel reading systems, #IT4Science, #research Free Software Foundation Europe (FSFE) Intuit Open Source GÉANT TUM.ai IT4Innovations National Supercomputing Center HLRS - Höchstleistungsrechenzentrum Stuttgart German National Research Data Infrastructure (NFDI)

An alternative paradigm. We all know that binary, 0s and 1s, is the basis of today's computing but ever hear of ternary i.e., 0, 1, 2? Here’s the twist: Ternary systems have the ability to store more information in a digit, and computations can be more efficient that way. Pack more data into fewer digits, even use less power in some cases. But there's a catch; Binary circuits are easy, they are just on/off states, but a ternary system would need to distinguish three different states. That just makes the hardware design that much more complicated, error prone, and adds a whole new level of problems in differentiating voltages in a reliable manner. The binary system won out due to its simplicity, and reliability despite early experiments like the Setun computer in the 1950s. Not to mention, the whole digital world is based on binary and to switch to ternary would require a complete overhaul of everything from processors to programming languages. However, as we expand the frontiers of technology, will ternary computation have a niche in the future. Someday quantum computing or specialized architectures could make this system viable again. Would you embrace a ternary-driven world? :) (Whenever I teach Binary Search to my students, I tend to add an extra topic that is 'Ternary Search' and 'N-ary Search' which is not usually been taught. The purpose is to encourage them to keep exploring.) #techinnovation #computing #futureoftech #binary #ternarysystems #hardwaredesign

💻 Tracing the Origins: The Evolution of Early Computer Inventions 🕰️ From room-sized machines to pocket-sized powerhouses, the story of computers is one of relentless innovation. Have you ever wondered how it all began? In this blog, we dive into the fascinating journey of early computer inventions that laid the foundation for modern technology: ✅ The groundbreaking ideas of Charles Babbage and Ada Lovelace ✅ The role of vacuum tubes and transistors in shaping computing ✅ Milestones like ENIAC, UNIVAC, and the dawn of programming languages ✅ How these early innovations influence today’s tech landscape 🔗 [Read the full blog to uncover the remarkable history of computers!] https://lnkd.in/eF6NdGN5 Let’s connect: 💬 Which early computer invention do you think had the biggest impact on modern computing? 💡 How do you see future innovations continuing this legacy? #ComputerHistory #TechEvolution #InventionStories #Innovation #Technology #EarlyComputers #DigitalRevolution

#tetramem #devops Exciting News from TetraMem! 🚀 I am thrilled to share my company's latest achievement, a testament to the relentless pursuit of innovation by our team and esteemed research partners. I am reposting a post from our company about our most talented engineer, Wenbo Yin, whose recent publication in the *Science* journal marks a significant milestone in the field of analog computing, demonstrating our ability to perform scientific calculations with *arbitrary precision*. Following a breakthrough, which is an 11-bit device feature in *Nature* last year, this publication further establishes TetraMem as a pioneer in the tech industry. Our work showcases the potential of analog computing in revolutionizing data centers and enhancing computational accuracy for high-precision tasks. At TetraMem, we pride ourselves on our unique six-dimensional co-design and co-optimization approach, spanning from the manipulation of fundamental materials to the development of top-tier applications. This holistic strategy has not only facilitated our success in publishing in two prestigious journals but also positioned us at the forefront of addressing the increasing demand for computational power in AI and other advanced technologies. As we continue to innovate and push the boundaries of what's possible, our goal remains clear: to deliver cutting-edge technology that meets the evolving needs of our industry and society. Stay tuned for more updates as we strive to bring our advanced solutions to the market, aiming to make a tangible impact on the future of computing. I'd like to invite the community on LinkedIn to celebrate this remarkable achievement together! 🎉 To learn more about our groundbreaking work in analog computing and its implications, check out our latest publication in *Science*: [Programming memristor arrays with arbitrarily high precision for analog computing](https://lnkd.in/gMyq_xmw). #startup #startupgrowth #startuplife #startupcommunity #revenue #innovate #microcontroller #microprocessors #npu #ai #embeddedsystems #edgecomputing Miao Hu

The quantum era isn't coming — it's already here. For seasoned programmers, this means letting go of deterministic logic and embracing probabilities, superposition, and entanglement. Your skills in problem-solving and abstraction still matter, but now you'll use them to design circuits and manipulate qubits instead of bits. "...Transitioning from classical computing to quantum is more about shifting how you think than memorizing technical jargon..." The key is learning to see computation probabilistically, as patterns and relationships, not binary certainty https://lnkd.in/dDBwPe9T #quantumProgramming #probabilistic #neumann #programming #c++ #q++

🦀 Learn and enjoy Numerical Computing With #Rust on #CPU (with practice!) 📆 November 25, 26 & 27, 2024 🔔 From 1pm to 4.30pm (UTC+1), each day 💻Online Training in English (registration is mandatory) 🏃♂️➡️ Trainer : Hadrien Grasland, IJCLab, CNRS This free online training is divided in three part to help you progress and acquire the skills to write efficient numerical computations for CPU platforms in Rust.   1️⃣ Monday, November 25th - 1pm: Introduction to Rust for numerical computing, practical work on implementing and optimizing simple numerical computations 2️⃣ Tuesday, November 26th - 1pm: End of the work on simple computations, followed by an introduction to the Gray-Scott reaction-diffusion model, which we will use as an example of a more complex computation for the remainder of the course (no knowledge is required). 3️⃣ Wednesday, November 27th - 1pm: Practical work covering more advanced Rust performance optimization techniques, applied to the Gray-Scott simulation introduced on day 2. Full Programme here : https://lnkd.in/e8krKDQR 🔎In this online training, you will learn how to write efficient numerical computations for CPU platforms in Rust.  We will get to know Rust by manually implementing a few simple computations (squaring numbers, dot product...), then show how the underlying hardware can be used more efficiently through a combination of SIMD processing, instruction-level parallelism, and multi-threading. Armed with this fundamental knowledge, we will then scale the problem up to a more sophisticated numerical computation, the Gray-Scott reaction-diffusion model, and cover some of the more advanced performance optimization techniques that apply at this scale.   Don’t forget to register! https://lnkd.in/eMF92wZh   Organized by CC-FR and @NSCC Slovakia with Karim Azoum, Lucia Demovičová, Michal Pitonak, Halyna Hyryavets

Learn and enjoy Numerical Computing with #Rust on #CPU (with practice!)

The mathematical evolution that has brought us to where we are now- is still in progress, propelling us into the future. Compositive logic is a reconceptualization of set theory, however not for its own sake, but for getting over the axiomatic limitations of mathematics holding us in place, and circular in reasoning. The following is the first part of a twenty part series detailing a new perspective on mathematical logic. Part 1 When you set elements as transformations within the range of transformation ( transformability) intrinsic to quantitative composition; for energy, it is the range set by the Planck constants in describing the fundamental level of the universe. We could of course use other frameworks to describe the range of transformation for physical energy but Planck constants are directly apt. Energy does not state outside of the parameters that these constants form. The following argument now being that physical energy cannot in whole nor particularly produce an unphysical transformation; a subsequent argument being that the sum of energetically defined transformations, symmetrically, does not satisfactorily preclude, nor exclude a result or domain consistingly external to physicality from being true: which is saying that the infinite set X=X (states defining the range of transformation for physical energy), does not in and of itself disprove that P=P ( states defining a range of transformation external to infinite set X=X) is quantitatively nonexisting because it isn't actively in negation of P=P, for being compositionally the transformations defining X=X (thus not sufficiently the negation of transformations that are external to the range of X=X): the negation of P=P is incomplete, basically, for being a range of transformation, modally defined, a duality in modality for physical energy is necessary to disclude the existence of P=P: ranges that are not being actively, compositionally, negated cannot be proven unactual, asserting logically that nonexistence, or, ranges external to that of physical energy, must require quantitative negation. It's a commencing, autonomic fallacy, that nonextence, externality, is intrinsically nonstructured. A rational concept of the logical disclusion of nonexistence/ externality, from quantitative standard is not in application. #InnovateForImpact #technology #tech #innovation #engineering #science #software #huawei #design #electronics #fourthindustrialrevolution #programming #coding #education #computer #mathematics #artificialintelligence #math #uni #student #college #phd #research #quantumcomputing #quantummechanics #physics #technology #industry40 #artificialintelligence #ai #machinelearning #emergingtechnologies #computerscience #maths #innovation #settheory #it #quantumtechnology #datascience #mit #sustainability #it #hydrogen #computerscience #logic #theoreticalphysics #data #finance #asic #infrastructure #manufacturing #digitaltransformation #futureofwork #datasciencr

With #summer in gear, you may want to #read some on your #holiday; so, here are the #Computing #eBooks from The Institution of Engineering and Technology (IET) #Digital #Library: https://lnkd.in/gG7izRyh #IET #engineering #technology #tech #cs #programming #software #networking #iot #edge #cloud #smartfog #ai #xai #cv #computer #vision #computervision #knowledgegraphs #pkg #aiot Sarah Lynch #python #java #cpp #labview #matlab #autonomic #bigdata #machinelearning #ml #dl #deeplearning #neuralnets etc.

The future of computing is here, and it’s moving beyond traditional silicon chips! ⠀ With quantum computing, photonic chips, and neuromorphic processors, we’re stepping into the era of post-silicon computing—unlocking incredible speed, energy efficiency, and new possibilities. ⠀ Challenges for Developers: ⠀ 🔧 New Skills Required: Say goodbye to traditional programming methods! Quantum algorithms, photonics, and neuromorphic coding will redefine how we build software. ⠀ 🔧 Limited Tools & Frameworks: Post-silicon architectures demand entirely new compilers, IDEs, and debugging environments. ⠀ 🔧 Security Risks: New hardware introduces unique vulnerabilities—security-first development is a must. ⠀ 🔧 Legacy Systems Compatibility: Migrating existing systems to post-silicon platforms will be a massive undertaking. ⠀ 💡 How to Prepare: ⠀ ✔️ Start learning quantum programming (check out tools like Qiskit or Cirq). ✔️ Experiment with simulators and emulators. ✔️ Stay connected with open-source post-silicon projects. ✔️ Focus on hybrid system skills—it’s going to be a long transition. ⠀ The future is exciting, but the shift won’t be easy. Are you ready to tackle the challenges of post-silicon computing? Let’s discuss! 💬 ⠀ #SEO #emryd #emrydinfo #emrydmarketing #digitalmarketing #businessstrategycoach