📢#BSCSeminar: Advancing RTL Simulation and Enabling Hardware Decompilation via HPC and PL Techniques 🗣 Jonathan Balkind, UC Santa Barbara 📆 11 July ➡https://www.bsc.es/ZH5 SOMM Alliance
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Live from the 6G Symposium in Washington, D.C., Northeastern University is showcasing its demo titled "X5G: An Open, Programmable, Multi-vendor 5G O-RAN Network with NVIDIA ARC and OpenAirInterface." This joint work enables the testing and development of new 5G and beyond technologies. Moreover, the demo shows: 1) Multi-vendor softwareized O-RAN-compliant network. 2) High programmability with inline 1L GPU acceleration. 3) Full control of the RAN for complete automation and efficiency.
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Hi, I am excited to share that I've successfully completed a comprehensive course on System on Chip (SoC)! conducted by Maven Silicon #SystemOnChip #HardwareDesign.
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InSemi Insights - Your regular dose of semiconductor industry insights for easy consumption so that you can absorb the most of it On-the-Go. Season 1; Episode 34 - Hierarchical Physical Design #insemiinsights #semiconductor #semiconductorindustry #onthego #knowledgesharing #technology #vlsi #semiconductor #signoff #physical #design #semicon #innovation #pd #latest #insights #chip #insemi
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So this gets expensive quickly. For reference, the screenshot below is likely a quarter million dollars' worth of silicon. "To load a model in full precision, i.e. 32-bit (or float-32) on a GPU for downstream training or inference, it costs about 4GB in memory per 1 billion parameters¹. So, just to load Llama-2 at 70 billion parameters, it costs around 280GB in memory at full precision." https://lnkd.in/gNmZP6EK https://lnkd.in/gr9VFVCd
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Quantum Hardware Engineer @IBM Research | NSF Graduate Fellow & Quantum Technology Advocate | Nano Magnetism & Quantum Spintronics Lab Researcher @UMN | 100% Indigenous American
I will be uploading my Blender quantum circuit tutorial online later tonight or tomorrow. Here is a rendering result of a superconducting quantum chip I made initially with KLayout KQ Circuits. Enjoy. Update: the tutorial is now available here (https://lnkd.in/gYR-_z6M) #blenderforscience #opensource #quantumhardware #technology #quantumengineering #blender #nanofabrication #qubits
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I would like to talk about CDC (Clock Domain Crossing) Analysis. In a complex integrated circuit, it is common to see a bunch of peripheral and system components. The components are subject to run under multiple clock domains at the same time. Hence, the domain designed to sample a particular sequence of data without any violations may not work for the other clock domain if it falls under violation window. To avoid this, CDC analysis is crucial. Synopsis Spyglass CDC is a great tool to catch such issues before running into the simulation phase. There are few techniques that counter well: 💡 2-FF Synchronizer - Levelled signals 🔄 Toggle-based Synchronizer - Pulsating signals (fs ) 📊 Gray Encoding - Data Signals (multiple bits changing) 🧩 Mux Synchronizer - Reduces the size of synchronizer circuitry 🤝 Handshaking Mechanism - Improved technique (req-ack) 🔄 Asynchronous FIFO - Widely used Technique (FIFO Depth Concept) Attached is a document with some information around the topic. #Intel #Nvidia #Mirafra #Engineering #VLSI
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I am happy to share that I have attended the online AMD-Xilinx webinar on "Static Timing Analysis using AMD Xilinx" in association with CoreEL technologies and AMD-Xilinx 💻 #fpgadesign
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I am a Sales Professional with over 30 years of direct commercial sales experience helping global enterprise companies solve their most difficult technical challenges.
Get high-speed I/O capabilities with Cadence 224G-LR SerDes PHY IP, enabling big data exchange in applications like GenAI and HPC. The new 224G-LR SerDes PHY IP on the TSMC N3E process supports full-duplex 1.25 to 225Gbps data rates and evolving electrical standards. Learn more https://ow.ly/uorh50R4I8t
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𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗻.𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗰𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴? Simply put: you can save 95% on computing time and 90% on costs. Why? Because quantum algorithms are superior to traditional methods. The chart shows an independent benchmark of wind tunnel simulation, comparing traditional CFD on an H100 GPU with the quantum version of it (Q-CFD) on 1000 Dynex chips, fitting on one H100 GPU, too.
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