SIGHPC – High Performance Computing
SIGHPC Emerging Woman Leader in Technical Computing
Awarded biennially at the SC conference to a mid-career woman engaged in HPC research, education, and/or practice. The award includes a plaque, $2000 honorarium, and travel support to the SC conference.
SIGHPC Outstanding Doctoral Dissertation Award
Given to the best doctoral dissertation completed in high-performance computing (HPC) each year. The award includes a $2000 honorarium, travel support to the SC Conference in the award year and a plaque.
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.
Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.