EDA Group @ Polito’s Post

🚀 New Tutorial Alert! We are excited to share a step-by-step tutorial on using QTCAD software to combine the adaptive-mesh Poisson solver with the Schrödinger solver for advanced simulations of quantum devices. This approach enables: ✅ Enhanced accuracy in modeling quantum confinement. ✅ Efficient handling of complex device geometries. ✅ Improved insight into carrier distributions and energy states in nanoscale systems. Perfect for researchers working on quantum dots, nanotransistors, or other cutting-edge nanoelectronic devices! more information visit here :-https://lnkd.in/deCS4tbQ #QTCAD #QuantumDevices #PoissonSolver #SchrodingerSolver #SemiconductorDevices #Nanoelectronics #QuantumTechnology #DeviceSimulation #ResearchTools #Innovation #QuantumDots

Pre-print Alert! Happy to share our recent pre-print on modelling of #ferroelectric Hf0.5Zr0.5O2 capacitors. In this work, we presented a universal model based on the Jiles-Atherton equations that can not only reproduce experimentally measured polarization switching in ferroelectric thin film capacitors with nearly 100 % accuracy, but also explain the device physics while at the same time being SPICE and Verilog compatible. The model explain the device behavior accurately for different electric fields and temperatures down to 4 K, including analog switching. Additionally, we investigated the device-to-device variation effect on the model parameters, which will enable large-scale integration of the FE components to complex functional circuits. The findings are further analyzed using Hamiltonian Monte Carlo simulations, for physical explanation of the analog switching at 300 K and 4K. This is a significant step towards the development of #cryogenic memories in the ARCTIC-KDT project. We are looking forward to more experimental data from ARCTIC-KDT partners and collaborators worldwide for further developing the model. Thanks for the excellent work Ella Paasio and Rikhard Ranta. [2410.09131] Universal Model for Ferroelectric Capacitors Operating Down to Deep Cryogenic Temperatures (arxiv.org) #cryogenic #memories #chip #analog #in-memory-computing #Quantum computing

📃Scientific paper: Poster Reconfiguration of microcontroller payload driver Abstract: International audience; Context and Objectives : ➢ Embedded systems in space are subjected to various phenomena that may disrupt system operations and damage memory components, such as radiation, wear and tear of electronic components, and degradation of electronic cards due to severe temperature cycling. Therefore, there is a need to reprogram a nanosatellite payload driver to enhance its resilience against degradation. Continued on ES/IODE ➡️ https://etcse.fr/9eUxR ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

𝗘𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗽𝗿𝗲𝘀𝗲𝗻𝘁 𝗼𝘂𝗿 𝗽𝗮𝗽𝗲𝗿 𝗼𝗻 "𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗼𝗻 𝗥𝗜𝗦𝗖-𝗩: 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗕𝗙𝗹𝗼𝗮𝘁𝟭𝟲 𝗳𝗼𝗿 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆" 𝗮𝘁 𝗥𝗜𝗦𝗖-𝗩 𝗦𝘂𝗺𝗺𝗶𝘁 𝗘𝘂𝗿𝗼𝗽𝗲! We propose an end-to-end open-source design for a low-cost, modular BFloat16 FPU micro-architecture for RISC-V embedded cores. Our design relaxes certain features of the IEEE Floating-Point Standard to realize a cost-effective hardware implementation that is integrated with cv32e40p (RI5CY core). Using these optimizations, we have achieved almost 𝟯𝟱% reduction in silicon area compared to an IEEE compliant FP32 implementation with minimal impact on accuracy. Come visit us at poster stand B-13 on Thursday, June 27th at RISC-V EU Summit 2024, Germany to learn more! #RISCV #RISCVSummitEurope #AI #MachineLearning #BFloat16 Visit: https://lnkd.in/eAaZ7AA9

🚀 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

An explicit N-Dimensional method that uses Gaussians to compactly represent complex high-dimensional functions as a tool for interactive scenarios was recently introduced at SIGGRAPH 2024. The technique utilizes multi-dimensional Gaussians to parameterize appearances based on viewing directions and render global illumination without tracing rays. Read the blog from Intel Labs researcher Stavros Diolatzis to learn more. https://intel.ly/3SPXsG9 #Rendering #MultiDimensional #GaussianFitting

More advances in quantum EDA tools from Mohamed and his team.

Are you attending ECCV 2024 in Milan? Check out our very own Sudhakar Sah (Sud), cofounder and VP, Engineering at Deeplite presenting our paper "MCUBench: A Benchmark of Tiny Object Detectors on MCUs" at the ECCV 2024 CADL Workshop! What is MCUBench? MCUBench is a benchmark featuring over 100 tiny YOLO-based object detection models evaluated on the VOC and COCO dataset across seven different MCUs. MCUBench is a valuable tool for benchmarking the MCU performance of contemporary object detectors. It aids in model selection based on specific constraints, providing a clear understanding of the trade-offs between accuracy, latency, RAM, and Flash usage. This benchmark can significantly benefit developers looking to deploy efficient object detection models on low-footprint devices. A shout out to the authors of this paper Sudhakar Sah (Sud), Darshan C G, Matteo Grimaldi, Ravish Kumar, Alexander Hoffman, Honnesh Rohmetra and Ehsan Saboori (PhD, Eng)! You can check out our blog 👉 https://lnkd.in/gS3JRd3V View the ECCV 2024 CADL Workshop presentation 👉 https://lnkd.in/gRd3N-kQ Find the full research paper here 👉 https://lnkd.in/gnavcrYM

PDC Project – Dynamic Audio-Visual Particle Explosion 🚀🎶 We are thrilled to share our final Parallel and Distributed Computing (PDC) project, Dynamic Audio-Visual Particle Explosion (VORTYX)! This innovative project integrates particle explosion simulations with synchronized audio generation, pushing the boundaries of audio-visual synchronization and parallelization techniques. 🔑 Project Highlights: Core Idea: A mesmerizing particle explosion simulation with particles radiating outward, harmonized with randomly generated musical notes. Parallelization Techniques: Leveraged OpenMP for thread-level parallelism and MPI for process-level distribution, ensuring scalability and optimized performance. Complexity Tackled: Rendering particle graphics and generating synchronized audio while ensuring precise timing and reducing communication overhead. 💡 Execution Strategy: Baseline: Simulated 500 particles in a single-threaded implementation, running for 15–20 minutes to establish benchmarks. Parallel Implementation: Tested with OpenMP and MPI for datasets up to 5000 particles, achieving significant performance gains. 📊 Key Learnings: Balancing audio-visual synchronization across distributed processes. Optimizing CPU utilization with OpenMP threading. Managing inter-process communication overhead with MPI. Amna Shah, Falah Zainab and Saim Saad, for their collaboration on this project. 🔗 Curious about the code? Check out the repository here: https://lnkd.in/etKBtH8K Let us know what you think about VORTYX, and feel free to reach out for more details! #PDC #ParallelComputing #Innovation #Teamwork

🚀 Exciting News Alert! Introducing a groundbreaking feature in our latest Advanced Design System (ADS) release for the layout of Josephson Traveling Wave Parametric Amplifiers (JTWPAs)! 🌟 Say goodbye to design struggles and hello to seamless quantum structure design. With intuitive artwork components and automation features, we're simplifying complexity and accelerating progress in quantum computing. Try it out today and experience the future of quantum design! #QuantumComputing #QuantumAmplifiers #QuantumEDA #ADS