Mentor(s): Rohit Goswami, Gagandeep Singh Skills: Linear algebra, C++, Build systems, Tree Algorithms (Post, Pre, In Order Traversels). Description: LFortran is a modern, composable Fortran compiler with an LLVM/C++/x86 backends and a unique intermediate abstract semantic representation (ASR) which can be used to directly implement the language standard. This project will aim at compiling one of the most widely used Fortran libraries, the Linear Algebra PACKage. Practically speaking, this will involve an understanding of the ASR and its representation of language constructs. We expect applicants to choose to work on either LAPACK or SciPy. The entire roadmap is: Compile via --symtab-only mode for generating only the symbol table

Title : f2py two decades later Author: Rohit Goswami, Quansight Labs && University of Iceland Co-authors: Melissa Weber Mendonça, Quansight Labs Pearu Peterson, Quansight Labs Ralf Gommers, Quansight Labs NAME, AFFIL P - Presentations: 30 minutes --> With an example and clarification of the three methods of wrapping

Variables Yes No What is probability? [name=Rohit Goswami] I think probability is.... [name=Harrison Davis] My understanding is that probability is anything concerning random values [name=Cody Jones] I think probability is the measure of oppurtunity of a certain action taking place.

Hi! I'm Rohit Goswami, and if you're planning to knock on my door and chat, it'd be a good idea to get to know what would be a good fit. Programming Most of my interests revolve around practicalities of harnessing computers to carry out efficient large-scale calculations. I am in particular interested in finding someone who might want to look into the following with me: [ ] Eigen's Tensor Module [ ] Tensorflow Probability [ ] Symbolic Math and Tensors