Baidyanath Kundu

Research Intern at CERN

email: kundubaidya99@gmail.com

Education: B. Tech in Computer Science and Engg., Manipal Institute of Technology, Manipal, India

Completed project: Improving Cling Reflection for Scripting Languages
Cling has basic facilities to make queries about the C++ code that it has seen/collected so far. These lookups assume, however, that the caller knows what it is looking for and the information returned, although exact, usually only makes sense within C++ and is thus often too specific to be used as-is. A scripting language, such as Python, that wants to make use of such lookups by name, is forced to loop over all possible entities (classes, functions, templates, enums, …) to find a match. This is inefficient. Furthermore, many lookups will be multi-stage: a function, but which overload? A template, but which instantiation? A typedef, of what? The current mechanism forces the scripting language to provide a type-based match, even where C++ makes distinctions (e.g. pointer v.s. reference) that do not exist in the scripting language. This, too, makes lookups very inefficient. The returned information, once a match is found, is exact, but because of its specificity, requires the caller to figure out C++ concepts that have no meaning in the scripting language. E.g., there is no reason for Python to consider an implicitly instantiated function template different from an explicitly instantiated one.

Project Proposal: URL

Mentors: Wim Lavrijsen, Vassil Vassilev

Completed project: Utilize second order derivatives from Clad in ROOT
ROOT is a framework for data processing, born at CERN, at the heart of the research on high-energy physics. ROOT has a clang-based C++ interpreter Cling and integrates with the automatic differentiation plugin Clad to enable flexible automatic differentiation facility. TFormula is a ROOT class which bridges compiled and interpreted code. This project aims to add second order derivative support in TFormula using clad::hessian. The PR that added support for gradients in ROOT is taken as a reference and can be accessed here.

Project Proposal: URL

Project Reports: Final Report

Mentors: Vassil Vassilev, Ioana Ifrim

Presentations

---

---