RSDHA is a forum for researchers and engineers in both HPC domain and embedded/mobile computing domain to gather together and discuss (1) the latest ideas and lessons learned from the previous experience on traditional (i.e., horizontal) and heterogeneity-based (i.e., vertical) scaling in their own domains and (2) possible synergistic approach and interaction between the two domains to find a good balance between programmability and performance portability across diverse ranges of heterogeneous systems from mobile to HPC. 

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers regular research papers in a single-column format withat least 10 pages and at most 18 pages in length, which include tables, figures, and references. 
• Short papers initial results and position/work-in-progress papers in a single format with at least 4 pages and at most 8 pages in length, which include tables, figures, and references.

List of Topics

• Performance-portable parallel programming paradigms for emerging accelerator types 
• Runtimes for arbitrary degrees of heterogeneous diversity 
• Analytical modeling for general-purpose and domain-specific programmable accelerators 
• Application of heterogeneous programming/scheduling techniques used in embedded and mobile computing to HPC systems and vice versa 
• Communication and memory access challenges for clustered execution of highly diverse platforms 
• Analytical resource consumption modeling and decision making mechanisms for edge-cloud and HPC systems 
• Compositional resource management and workload balancing across thecollaborative clusters 
• Fault tolerant and resilient execution for mobile/autonomous systems and HPC systems 
• Case studies using the vertical/horizontal scaling techniques

Committees

Program Committee

• Ismail Akturk, Ozyegin University
• Kei Davis, Los Alamos National Laboratory
• Roberto Gioiosa, Pacific Northwest National Laboratory (PNNL)
• Callie Hao, Georgia Institute of Technology
• Sahil Hassan, University of Arizona
• Engin Kayraklioglu, Hewlett Packard Enterprise
• Jungwon Kim, NVIDIA
• Joshua Mack, University of Arizona
• Pak Markthub, NVIDIA
• EunJung (EJ) Park, Qualcomm Inc
• Daniel Wong, University of California, Riverside
• Bo Wu, Colorado School of Mines
• Yuanchao Xu, University of California, Santa Cruz
• Liang Zhou, Meta
• Jonathan Lifflander, Sandia National Labs, California
• Senthilkumar Thoravi Rajavel, Synopsys

Organizing committee

• Mehmet E. Belviranli, Colorado School of Mines, USA
• Seyong Lee, Oak Ridge National Laboratory, USA
• Ali Akoglu, University of Arizona, USA
• Keita Teranishi, Oak Ridge National Laboratory, USA

Contact

All questions about submissions should be emailed to lees2@ornl.gov