============================================================ Call for Papers RSDHA 2023: 3rd Workshop on Redefining Scalability for Diversely Heterogeneous Architectures Held in conjunction with SC'23 Denver, CO, USA November 12, 2023 ============================================================ --Summary-- Recent trends toward the end of Dennard scaling and Moore’s law makes the current and upcoming computing systems more specialized and complex, consisting of more complex and heterogeneous architectures in terms of processors, memory hierarchies, on-chip-interconnection networks, storage, etc. This trend materialized in the mobile and embedded market, and it is entering the enterprise, cloud computing, and high performance computing markets. 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. --Scope and Goals-- The RSDHA workshop aims to serve as a forum for investigating the un-explored region of the two-dimensional space of traditional node-based (i.e., horizontal) and heterogeneity-based (i.e., vertical) scaling of the current and upcoming HPC and mobile/embedded systems. The scope of this workshop can be categorized in two primary areas: 1) Vertical Scaling, which will cover the studies that will enable HPC applications to utilize a more diverse range of processors, and 2) Horizontal Scaling, which will cover the studies that investigate the application of the traditional HPC techniques to the mobile and autonomous systems to beat the multi-node scalability challenges as the mobile/embedded systems become increasingly more connected. --Research Areas of Interest-- The research areas of interest include but are not limited to: - 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 the collaborative clusters - Fault tolerant and resilient execution for mobile/autonomous systems and HPC systems - Case studies using the vertical/horizontal scaling techniques --Submissions-- - Authors are invited to submit original papers in two separate tracks: - Full Paper: submit regular research papers of at least 6 pages in length and at most 12 pages, which include tables, figures, and references. - Short Paper: submit initial results and position/work-in-progress papers of at most 4 pages, which include tables, figures, and references. - All submissions should be formatted according to the ACM templates and CCS2012 guide that are available at: https://www.acm.org/publications/proceedings-template - Accepted papers will be published in the SC23 Workshop Proceedings. - Please submit papers through the Supercomputing Linklings site: https://submissions.supercomputing.org --Important Dates-- - Initial dissemination of call for papers: June 13, 2023 - Paper submissions deadline: August 18, 2023 - Notification of acceptance: September 8, 2023 - Camera-ready papers: September 28, 2023 - Workshop: November 12, 2023 --Workshop Organizers-- - Mehmet E. Belviranli, Colorado School of Mines, USA E-mail: belviranli@mines.edu - Seyong Lee, Oak Ridge National Laboratory, USA E-mail: lees2@ornl.gov - Ali Akoglu, University of Arizona, USA E-mail: akoglu@arizona.edu