About Me

Hello! I’m a computer science PhD student at Indiana University, where I study functional programming, parallel computing, and compilers under Prof. Ryan Newton.

In addition to doing research and hacking on Scheme and Haskell code, I enjoy reading science fiction novels and watching B-movies.

Publications

Michael Vollmer, Chaitanya Koparkar, Mike Rainey, Laith Sakka, Milind Kulkarni, and Ryan R. Newton. LoCal: A Language for Programs Operating on Serialized Data. Programming Language Design and Implementation (PLDI 2019). [PDF]

Michael Vollmer, Sarah Spall, Buddhika Chamith, Laith Sakka, Milind Kulkarni, Sam Tobin-Hochstadt, and Ryan R. Newton. Compiling Tree Transforms to Operate on Packed Representations. European Conference on Object-Oriented Programming (ECOOP 2017). [PDF]

Michael Vollmer, Ryan G. Scott, Madanlal Musuvathi, and Ryan R. Newton. SC-Haskell: Sequential Consistency in Languages That Minimize Mutable Shared Heap. Principles and Practice of Parallel Programming (PPoPP 2017). [PDF]

Michael Vollmer, Bo Joel Svensson, Eric Holk, and Ryan R. Newton. Meta-programming and Auto-tuning in the Search for High Performance GPU Code. Workshop on Functional High-Performance Computing (FHPC 2015). [PDF]

Bo Joel Svensson, Michael Vollmer, Eric Holk, Trevor L. McDonell, and Ryan R. Newton. Converting Data-parallelism to Task-parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs. Workshop on Functional High-Performance Computing (FHPC 2015). [PDF]