Enabling fairer data clusters for machine learning
Research published recently by CSE investigators can make training machine learning (ML) models fairer and faster. With a tool called AlloX, Mosharaf Chowdhury and a team from Stony Brook University developed a new way to fairly schedule high volumes of ML jobs in data centers that make use of multiple different types of computing hardware, like CPUs, GPUs,… Read More »