The Columbus STEM & Arts Expo will be taking place at the Polaris Fashion Place on November 3 2024 at 12:00PM - 6:00PM. IEEE Columbus has reserved a booth to connect with our community and IEEE members. This is a great opportunity to take your child or your inner child to experience steam activities and different fields of engineering. We already have enough volunteers for the IEEE table however we would be great-full if you stopped by and introduce yourself. 1500 Polaris Pkwy, Columbus, Ohio, United States, 43240

Join the Educational Activities Chair of IEEE Columbus and learn how to help your student branch grow and hear his life stories about IEEE and the massive impact it has had on his life. Speaker(s): , Ian Oberdorf Agenda: Introductions What is IEEE Impacts IEEE has had on the life of Ian Oberdorf. Questions Virtual: https://events.vtools.ieee.org/m/442108

This talk will highlight probabilistic computers as an emerging paradigm for domain-specific computation. Firmly connected to the widely used Markov Chain Monte Carlo algorithms widely used in physics, statistics, and ML, the talk will show how networks of probabilistic bits, or p-bits, in hardware can deliver improvements in time and energy to solutions for ML, optimization, and quantum simulation. Probabilistic computers leverage a physics-inspired architecture with sparse connectivity and asynchronous updates, enabling massive parallelism. Digital implementations in single FPGAs show competitive performance against optimized GPUs/TPUs. Recent efforts with a distributed system of multiple FPGAs creates the “illusion” of a single, more powerful system, achieving near-linear speedup with minimal communication overhead. Beyond digital CMOS, magnetic nanodevices offer intrinsic randomness, replacing thousands of transistors per p-bit and reducing energy per operation. Our ongoing efforts aim to integrate these devices into energy-efficient CMOS+X systems. Comparisons with quantum computers, GPUs/TPUs, and coupled oscillators will illustrate how probabilistic computers combined with tailored algorithms could achieve GPU-like impact and enable new applications. Speaker(s): , Kerem 5000 Forbes Ave, Bosch Spark Conference Room, Scott Hall 5201, Pittsburgh, Pennsylvania, United States, 15213

This talk will highlight probabilistic computers as an emerging paradigm for domain-specific computation. Firmly connected to the widely used Markov Chain Monte Carlo algorithms widely used in physics, statistics, and ML, the talk will show how networks of probabilistic bits, or p-bits, in hardware can deliver improvements in time and energy to solutions for ML, optimization, and quantum simulation. Probabilistic computers leverage a physics-inspired architecture with sparse connectivity and asynchronous updates, enabling massive parallelism. Digital implementations in single FPGAs show competitive performance against optimized GPUs/TPUs. Recent efforts with a distributed system of multiple FPGAs creates the “illusion” of a single, more powerful system, achieving near-linear speedup with minimal communication overhead. Beyond digital CMOS, magnetic nanodevices offer intrinsic randomness, replacing thousands of transistors per p-bit and reducing energy per operation. Our ongoing efforts aim to integrate these devices into energy-efficient CMOS+X systems. Comparisons with quantum computers, GPUs/TPUs, and coupled oscillators will illustrate how probabilistic computers combined with tailored algorithms could achieve GPU-like impact and enable new applications. Speaker(s): , Kerem 5000 Forbes Ave, Bosch Spark Conference Room, Scott Hall 5201, Pittsburgh, Pennsylvania, United States, 15213