Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Archive for September, 2018

 

Great Innovative Idea: A Task-Centric Framework to Revolutionize Big Data Systems Research

September 11th, 2018 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Da Yan, tenure-track assistant professor in the Department of Computer Sciences at the University of Alabama at Birmingham (UAB). Yan presented his poster, A Task-Centric Framework to Revolutionize Big Data Systems Research, at the Computing Community Consortium (CCC) Early Career Researcher Symposium, August 1-2, 2018. The Idea Big Data frameworks such as Apache Hadoop and Apache Spark are becoming increasingly popular due to their emphasis on ease of programming, but they are dominantly designed for data-intensive iterative computations, and there lacks an efficient solution to compute-intensive Big Data analytics. Based on my insight that compute-intensive problems are often solved by divide and conquer (e.g., a recursive algorithm), a general task-centric framework, […]

Apply for the CCC’s Thermodynamic Computing Workshop

September 10th, 2018 / in Announcements, research horizons / by Khari Douglas

The Computing Community Consortium (CCC) will hold a workshop from January 3rd to 5th, 2019 in Hawaii to create a vision for thermodynamic computing, a statement of research needs, and a summary of the current state of understanding of this new area. Workshop attendance will be by invitation only and travel expenses will be available for select participants. We seek short white papers to help create the agenda for the workshop and select attendees. Thermodynamics has a long history in the engineering of computing systems due to its role in power consumption, scaling, and device performance [1],[2]. In a different context, thermodynamically motivated algorithmic techniques are prevalent and highly successful […]

NSF DCL- Announcing a Core Program within the Division of Computing and Communication Foundations

September 5th, 2018 / in Announcements, NSF, research horizons, Research News / by Helen Wright

The following is a letter to the community from Erwin Gianchandani, Acting Assistant Director, of the National Science Foundation (NSF) Directorate of Computer & Information Science & Engineering (CISE).   August 9, 2018 Dear Colleagues: The Directorate for Computer and Information Science and Engineering (CISE) is notifying members of the research community about the addition of a core program, called Foundations of Emerging Technologies (FET), within its Division of Computing and Communication Foundations (CCF). FET aims to enable radical innovations across all areas traditionally supported by CCF, through research in emerging computing and communication paradigms at the intersection of computing and biological systems, nanoscale science and engineering, quantum information science, and other nascent, yet […]

Thermodynamic Computing Workshop – Call for White Papers

September 4th, 2018 / in Announcements / by Khari Douglas

The Computing Community Consortium (CCC) will hold a workshop from January 3rd to 5th, 2019 in Hawaii to create a vision for thermodynamic computing, a statement of research needs, and a summary of the current state of understanding of this new area. Workshop attendance will be by invitation only and travel expenses will be available for select participants. We seek short white papers to help create the agenda for the workshop and select attendees. Thermodynamics has a long history in the engineering of computing systems due to its role in power consumption, scaling, and device performance [1],[2]. In a different context, thermodynamically motivated algorithmic techniques are prevalent and highly successful […]