Tag: CIS
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PICS Colloquium: “Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization” with Eric Cyr
Title: Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization Speaker: Eric Cyr, Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories Abstract: This talk will explore methods for accelerating numerical optimization constrained by transient problems using parallelism. Two types of transient problems will be…
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PICS Colloquium: “Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization” with Eric Cyr
On Wednesday, April 24th at 10 AM EST, PICS will host a colloquium with Eric Cyr, Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories. This colloquium will be held in-person in PICS 534 with refreshments provided. Title Exploiting time-domain parallelism to accelerate neural network training and PDE…
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PICS Colloquium: “Representations Learnt from Synthetic Volumes Enable Training-free Medical Image Analysis” with Neel Dey
On Friday, April 26th at 2 PM EST, PICS will host a colloquium with Neel Dey, Postdoctoral Associate in the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory. This colloquium will be held in-person in PICS 534 with refreshments provided. Title Representations Learnt from Synthetic Volumes Enable Training-free Medical Image Analysis Speaker Neel…
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PICS Workshop: Python Boot Camp
Instructor: Arvind Bhusnurmath Title: Python Boot Camp – from variables and simple statements to fun data visualizations Summary: In this boot camp we will begin from the basics of Python programming (assuming little to no programming knowledge) and quickly cover topics such as conditionals and loops with the intent to use Python as a tool…
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PICS Workshop: Python Boot Camp
PICS will be hosting a Python Boot Camp with instructor Arvind Bhusnurmath from the CIS department. It will be held in PICS 534 on Saturday, March 16th from 10 AM to 2 PM. Lunch will be provided. Please email Julia at jnespos@seas.upenn.edu to RSVP. RSVP is required to attend. Title: Python Boot Camp – from…
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PICS Colloquium: “An introduction to neural ODEs in scientific machine learning” with Patrick Kidger
Speaker: Patrick Kidger, Mathematician at Google X Abstract: This is a quick introduction to neural ODEs for scientific applications. The goal is to (a) provide a modelling tool that enhances the expressivity of existing theory-driven approaches, (b) demonstrate that neural ODEs are easy to use via modern autodifferentiable software, and (c) give enough of the…
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PICS Colloquium: “MFEM: Accelerating Efficient Solution of PDEs at Exascale”
Abstract: Upcoming exascale architectures require rethinking of the numerical algorithms used in large-scale PDE-based applications. These architectures favor algorithms, such as high-order finite elements, that expose fine-grain parallelism and maximize the ratio of floating point operations to energy intensive data movement. In this talk we present an overview of MFEM [1], a scalable library for…
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PICS Colloquium: “MFEM: Accelerating Efficient Solution of PDEs at Exascale” with Tzanio Kolev
On Friday, November 10th at 2:00 PM EST, PICS will host a virtual colloquium with Tzanio Kolev, Computational Mathematician at the Lawrence Livermore National Laboratory. There will be an in-person component in the PICS 534 large conference room for those interested in attending. Zoom link: https://upenn.zoom.us/j/92219338672 Title MFEM: Accelerating Efficient Solution of PDEs at Exascale…
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PICS Colloquium: “Modeling Assembly of Colloids with Charges and with Mobile Binders”
Speaker: Assistant Professor of Chemistry at New York University Abstract: In this talk, I will present our recent efforts in probing the physical processes underlying self-assembly of colloidal gels and crystals. Nano-meter to micron sized particles in suspension can be a powerful platform for assembly novel functional materials, but the challenge is to…