Parallel Computing for Music and Audio

Partitioned Convolution

As a member of UC Berkeley’s Par Lab, I did a variety of projects focused on improving the computational efficiency of music and audio applications.


. Scalable Multimedia Content Analysis on Parallel Platforms Using Python. TOMCCAP, 2014.

PDF Project Source

. Real-Time Musical Applications on an Experimental Operating System for Multi-Core Processors. ICMC, 2011.

PDF Project

. Advances in the Parallelization of Music and Audio Applications. ICMC, 2010.

PDF Project