Brand new broadcast episode on cooling and the future of transistor densities with DCD>Academy's very own Vlad - Gabriel Anghel. Make sure to check out the episode as our speakers address: ➤ Where are we seeing the most powerful chips being deployed? ➤ Will Nvidia maintain market share and can other players catch up? ➤ Considerations and misconceptions for cooling advanced workloads ➤ How do we plan for redundancy when it comes to direct to chip cooling? https://lnkd.in/e3ViYsU7
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Discover how a new approach using UV microLEDs and cadmium- and lead-free quantum dots could revolutionize display technology, offering brighter, more efficient, and eco-friendly full-color screens. https://bit.ly/3VSd9hG
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https://lnkd.in/e3yDZDmd Everyone is talking about #chiplets and making plans to use it in various ways, but questions persist about what it is. Clive (Max) Maxfield gives a breakdown of what came before and what you can expect as chiplets proliferate.
The Evolution and Future of Chiplets
https://ojoyoshidareport.com
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SK hynix announced a 32 nm pitch selector-only memory, with a cell size corresponding to 1e 10nm-class DRAM and a cell write current of 20 uA. But it is likely being considered for storage-class memory (SCM) with 1e7 cycles endurance. https://lnkd.in/guCQzU-x
SK hynix Research
research.skhynix.com
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Exciting insights await in our latest blog post, where we delve into the fascinating world of M4 chips. This piece explores the intricacies of matrix processing and the various power modes that enhance performance and efficiency. Whether you're a tech enthusiast or a professional in the industry, this post offers valuable knowledge on how M4 chips are transforming computational capabilities. Discover more about this technological advancement by visiting the link below: [Inside M4 Chips: Matrix Processing and Power Modes](https://ift.tt/KbRAFJ3)
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🚀 Exciting News! 🚀 I'm thrilled to announce that our latest research article, "XeroZerox: Analysis and Optimization of GPU Memory Management for High-Integrity Autonomous Systems," has been accepted for publication in the IEEE Access Journal! In this paper, we address the challenges of using GPUs in critical autonomous systems, focusing on optimizing dynamic memory management. Our open-source tool, XeroZerox, automatically transforms traditional dynamic memory allocations into efficient, centralized memory pools, enhancing the reliability and performance of legacy GPU applications without the need for extensive rewrites. This research was conducted in collaboration between IKERLAN and the Barcelona Supercomputing Center with the support of the METASAT Project. Thanks to the co-authors Leonidas Kosmidis, Carlos F. Nicolas Ramirez and Francisco J. Cazorla for the hard work and dedication. Read the full article here: https://lnkd.in/eVqDqm4M #Research #AutonomousSystems #GPU #MemoryManagement #HighIntegritySystems #METASAT
XeroZerox: Analysis and Optimization of GPU Memory Management for High-Integrity Autonomous Systems
ieeexplore.ieee.org
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Are you looking for advice on how to properly calibrate your image signal processor? John Phillippe of NXP Semiconductors is here to help! He shares essential details on the complexity of the process and the resources available to make it easier. Follow the link below to explore the article.
Exploring the Difficulties of Image Signal Processing Calibration - Read this article
weare.nxp.com
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Now out in arXiv from MIT-CQE member Dirk Englund and co-authors “Linear and nonlinear optical response based on many-body GW -Bethe-Salpeter and Kadanoff-Baym approaches for two-dimensional layered semiconductors” by Dmitry Skachkov, Dirk R. Englund and Michael N. Leuenberger Read more: https://lnkd.in/e3GWVyHd #quantum #quantumcomputing #quantumphysics #quantumtechnology #quantumtechnologies #quantumtech #quantumcomputers #quantumcomputer #superconducting
Linear and nonlinear optical response based on many-body GW -Bethe-Salpeter and Kadanoff-Baym approaches for two-dimensional layered semicon
arxiv.org
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Plus you can do Quantum gobbledygook on Photonics because light doesn't interfere significantly with itself in a waveguide, unlike electrons in a wire (Quantum decoherence)!
The Newest Computer Chips aren’t “Electronic”
https://www.youtube.com/
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Are you looking to improve the digital image quality of your project? The complexities of calibrating your image signal processor can be daunting, but with the right resources, you can successfully tackle these challenges. Learn more about the nuances of these engineering tasks from John Phillippe of NXP Semiconductors in this article👇🔗
Understanding the Challenges of Image Signal Processing Calibration - Read this article
weare.nxp.com
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Welcome to the inaugural edition of Binary Circuit! NVIDIA launches Jetson Orin Nano Super The processor performs 70 trillion operations per second, runs LLMs, consumes 25 watts, and sells for ONLY $249. Watch the video- https://lnkd.in/gkpjz25d Imagine the possibilities for your business. What use cases would you build with this processor? Our team can help you explore the opportunities. Curious to discover more? Follow me https://lnkd.in/gVNGNZ_W Stay ahead with Binary Circuit and uncover the latest tech disruptions and opportunities. Subscribe now- https://lnkd.in/g-npp-jv #supercomputing #futurereadystrategy #businessstrategy ___ Found this useful? Like 👍, comment 💭, or re-post ♻️ to share with others.
Binary Circuit | Substack
bc.greenlightllc.us
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