Call for Participation: Economic Research in High Performance Computing Environments
Call for Participation: Economic Research in High Performance Computing EnvironmentsOctober 11th, 8:00AM to October 12th, 6:00PM
High performance computing specialists and economists whose research either uses or could benefit from high performance computing applications are invited to attend or present. CADRE is specifically interested in presentations that can connect new or emerging applications to estimation or simulation approaches similar to those done in the economic or financial literature.
Attendance is free but registration is required and space is limited. Registration will open later in the summer.
The Federal Reserve Bank of Kansas City's Center for the Advancement of Data and Research in Economics (CADRE) is hosting the third annual "Economic Research in High Performance Computing Environments" workshop on October 11-12, 2017. The theme of this year’s workshop is “HPC and Advancing the Economic Research Agenda.” As we continue with CADRE’s mission of supporting, enhancing, and advancing data or computationally intensive economic research, we are looking to provide examples of and guidance for how high performance computing can shape the economic research landscape.
To that end, we seek two types of presentations:
- Economic research that was fundamentally enabled or vastly improved by the use of HPC techniques and technologies. The presentations should highlight the role of the proper utilization of HPC and emphasize the costs and benefits of that utilization over alternative techniques and technologies.
- Technology and methodological applications that might help shape the economic research landscape in the future. As new technologies and techniques become more visible in the statistics, computer science, and technology realms, how might we think about applications for economic and financial research? Some examples might be, but are not limited to:
- Using R with Big Data
- Natural language processing and understanding
- Large-scale neural networks and deep learning
- Agent-based modeling with GPUs
- Automated machine learning at scale
- Containerization for sharing and reproducibility
We are especially interested in presentations that can connect new or emerging applications to estimation or simulation approaches similar to those done in the economic or financial literature.
Further information will be available from the CADRE webpage: http://cadre.kcfed.org
To submit a paper, or suggest a presentation by emailing email@example.com.
Who should attend?
High performance computing specialists and economists whose research either uses or could benefit from high performance computing applications.