Spreadsheets are one of the most widely used functional languages today, if not the most widely used1. My research is centered on how end-users with domain-specific knowledge who use spreadsheets as their main computational model, can transparently leverage increasingly abundant multi-core processors.

More specifically, I have developed an algorithm to statically partition a spreadsheet into load-balanced groups which can then be scheduled to run on shared-memory multicore processors. It is nspired by the work of Sarkar et al.2 on the SISAL language for scientific computing. The algorithm is implemented in Funcalc, a spreadsheet research prototype application for experimentation and allows users to define their own functions using sheet-defined functions[^2, ^3].

You can check out my list of publications for other research related to my PhD project.

Other interests

These involve parallel programming (CPU/GPU), image formats, compression algorithms, game programming, API design, vim/neovim and optimisation techniques in general.

  1. “Counts and earnings of end-user developers”, Chris Scaffidi, 2017 (link) ↩

  2. “Partitioning and Scheduling Parallel Programs for Multiprocessors”, Vivek Sarkar, 1989, Research Monographs In Parallel and Distributed Computing, IBM Thomas J. Watson Research Center, Cambridge, Massachusetts, MIT Press ↩