HPC|AI Special Interest Subgroup

Chairs: Scot Schultz

Artificial Intelligence is a pillar of today's technological world, offering solutions that enable better and more accurate decisions based on the massive amounts of data being collected. In computer science, AI research is often defined as any intelligence agent or device that perceives its environment and then takes actions to ensure or maximize its chance of success towards a given goal. AI encompasses a wide range of use cases that are used in nearly every industry today, ranging from security, finance, and image and voice recognition, to self-driving cars and smart cities.

Today, nearly every company is using some form of artificial intelligence. As we embark on the next industrial revolution, we should expect the world to undergo an amazing transformation in how we interact with computers. Autonomous self-driving vehicles, humanitarian research, personalized medicine, homeland security and even seamlessly interacting as a global society regardless of language or location are just a few of the exciting elements we will be able to experience within our lifetime; and this is just the tip of the proverbial iceberg that will advance our knowledge and understanding of our place in the universe for generations to come.

Similar to the way systems are architected for high performance computing (i.e. CPUs, GPUs, high-speed interconnects, memory, compilers, libraries, storage) has a great influence on the overall application performance and productivity as it relates to machine learning and deep learning applications.

The HPC|AI subgroup will focus on key technologies, frameworks and methodologies that influence and deliver maximum performance. It will provide a forum for collaboration that will help ease the understanding, development and deployment of machine learning solutions.