Multi-level heterogeneous parallelism and deep memory hierarchies in current and emerging computer systems make their programming for high-performance applications very difficult. The task is made more challenging by the changing landscape of system architecture mandated by power and micro-architecture considerations. Domain-specific languages (DSLs) and high-level frameworks (HLFs) provide convenient abstractions, shielding application developers from much of the complexity and variability of explicitly programming in standard programming languages like C/C++/Fortran. Effective design of such abstractions for the high-performance computing context requires close interaction between researchers developing such languages and frameworks and domain experts with a deep understanding of the problem to be solved. While a number of other venues exist that address domain-specific languages and high-level programming abstractions, none of them focus on the challenges to performance optimization and implementation on parallel systems. This workshop seeks to bring together developers and users of DSLs and HLFs to identify challenges and discuss solution approaches for their effective implementation and use on a variety of platforms, including massively parallel systems.