Loading src/routes/about.tsx +43 −23 Original line number Diff line number Diff line Loading @@ -8,32 +8,52 @@ function About() { return ( <section className="flex w-full justify-center"> <div className="flex max-w-lg flex-col justify-center gap-16"> <div className="flex gap-8"> <p className="dark:text-neutral-200"> Lorem ipsum dolor sit amet consectetur adipisicing elit. Eos cum officia reprehenderit voluptates deleniti, vel laudantium blanditiis, debitis quo numquam eveniet expedita nihil atque distinctio aut repudiandae, soluta culpa recusandae? <div className="flex flex-col gap-8 dark:text-neutral-200"> <p> In December 2023, we have embarked upon an ambitious initiative to develop a comprehensive digital twin of the Frontier supercomputer. This twin includes: 3D asset modeling with virtual and augmented reality capabilities, telemetry data assimilation, AI/ML integration, simulations, and reinforcement learning for optimization. The goal was initially to develop four main modules: </p> <span className="dark:text-neutral-200 ">image placeholder</span> </div> <div className="flex flex-row-reverse gap-8"> <p className="dark:text-neutral-200"> Lorem ipsum dolor sit amet consectetur adipisicing elit. Eos cum officia reprehenderit voluptates deleniti, vel laudantium blanditiis, debitis quo numquam eveniet expedita nihil atque distinctio aut repudiandae, soluta culpa recusandae? <ol className="list-decimal pl-8"> <li> A transient simulation of the thermo-fluid cooling system from cooling tower to cold plate. </li> <li> A resource allocator and power simulator - which models workloads and resulting dynamic power, along with energy conversion losses. </li> <li> A visual analytics module consisting of both an augmented reality model based on Unreal Engine 5, and a web-based dashboard for launching experiments. </li> <li> A network digital twin to study dynamic network power and congestion. </li> </ol> <p> Once we were able to model Frontier, we set out to generalize these modules as a generalized framework called ExaDigiT for modeling a variety of supercomputer architectures. This digital twin framework offers insights into operational strategies, “what-if” scenarios, as well as elucidates complex, cross-disciplinary transient behaviors. It also serves as a design tool for future system prototyping. Built on an open software stack (Modelica, SST Macro, Unreal Engine) with an aim to foster community-driven development, we have formed a partnership with supercomputer centers around the world to develop an open framework for modeling supercomputers. </p> <span className="dark:text-neutral-200 ">image placeholder</span> </div> <div className="flex gap-8"> <p className="dark:text-neutral-200"> Lorem ipsum dolor sit amet consectetur adipisicing elit. Eos cum officia reprehenderit voluptates deleniti, vel laudantium blanditiis, debitis quo numquam eveniet expedita nihil atque distinctio aut repudiandae, soluta culpa recusandae? <p> For more information please visit:{" "} <a href="https://exadigit.github.io/" className="text-blue-500"> https://exadigit.github.io/ </a> </p> <span className="dark:text-neutral-200 ">image placeholder</span> </div> </div> </section> Loading Loading
src/routes/about.tsx +43 −23 Original line number Diff line number Diff line Loading @@ -8,32 +8,52 @@ function About() { return ( <section className="flex w-full justify-center"> <div className="flex max-w-lg flex-col justify-center gap-16"> <div className="flex gap-8"> <p className="dark:text-neutral-200"> Lorem ipsum dolor sit amet consectetur adipisicing elit. Eos cum officia reprehenderit voluptates deleniti, vel laudantium blanditiis, debitis quo numquam eveniet expedita nihil atque distinctio aut repudiandae, soluta culpa recusandae? <div className="flex flex-col gap-8 dark:text-neutral-200"> <p> In December 2023, we have embarked upon an ambitious initiative to develop a comprehensive digital twin of the Frontier supercomputer. This twin includes: 3D asset modeling with virtual and augmented reality capabilities, telemetry data assimilation, AI/ML integration, simulations, and reinforcement learning for optimization. The goal was initially to develop four main modules: </p> <span className="dark:text-neutral-200 ">image placeholder</span> </div> <div className="flex flex-row-reverse gap-8"> <p className="dark:text-neutral-200"> Lorem ipsum dolor sit amet consectetur adipisicing elit. Eos cum officia reprehenderit voluptates deleniti, vel laudantium blanditiis, debitis quo numquam eveniet expedita nihil atque distinctio aut repudiandae, soluta culpa recusandae? <ol className="list-decimal pl-8"> <li> A transient simulation of the thermo-fluid cooling system from cooling tower to cold plate. </li> <li> A resource allocator and power simulator - which models workloads and resulting dynamic power, along with energy conversion losses. </li> <li> A visual analytics module consisting of both an augmented reality model based on Unreal Engine 5, and a web-based dashboard for launching experiments. </li> <li> A network digital twin to study dynamic network power and congestion. </li> </ol> <p> Once we were able to model Frontier, we set out to generalize these modules as a generalized framework called ExaDigiT for modeling a variety of supercomputer architectures. This digital twin framework offers insights into operational strategies, “what-if” scenarios, as well as elucidates complex, cross-disciplinary transient behaviors. It also serves as a design tool for future system prototyping. Built on an open software stack (Modelica, SST Macro, Unreal Engine) with an aim to foster community-driven development, we have formed a partnership with supercomputer centers around the world to develop an open framework for modeling supercomputers. </p> <span className="dark:text-neutral-200 ">image placeholder</span> </div> <div className="flex gap-8"> <p className="dark:text-neutral-200"> Lorem ipsum dolor sit amet consectetur adipisicing elit. Eos cum officia reprehenderit voluptates deleniti, vel laudantium blanditiis, debitis quo numquam eveniet expedita nihil atque distinctio aut repudiandae, soluta culpa recusandae? <p> For more information please visit:{" "} <a href="https://exadigit.github.io/" className="text-blue-500"> https://exadigit.github.io/ </a> </p> <span className="dark:text-neutral-200 ">image placeholder</span> </div> </div> </section> Loading