Trends in Data Locality Abstractions for HPC Systems

The cost of data movement has always been an important concern in high performance computing (HPC) systems. It has now become the dominant factor in terms of both energy consumption and performance. Support for expression of data locality has been explored in the past, but those efforts have had only modest success in being adopted in HPC applications for various reasons. them However, with the increasing complexity of the memory hierarchy and higher parallelism in emerging HPC systems, locality management has acquired a new urgency. Developers can no longer limit themselves to low-level solutions and ignore the potential for productivity and performance portability obtained by using locality abstractions. Fortunately, the trend emerging in recent literature on the topic alleviates many of the concerns that got in the way of their adoption by application developers. Data locality abstractions are available in the forms of libraries, data structures, languages and runtime systems; a common theme is increasing productivity without sacrificing performance. This paper examines these trends and identifies commonalities that can combine various locality concepts to develop a comprehensive approach to expressing and managing data locality on future large-scale high-performance computing systems

Complexity Theory in the Advancement of Entrepreneurship Ecosystem Research: Future Research Directions

The underlying principles of complexity theory has been disused in “five dimensions of non-linear interactions between agents and components”, “hierarchical nature of the system”, “emergence”, “co-evolutionary order creation”, and “self-organization”. The rationale for considering entrepreneurship ecosystem as a complex system has been presented. Then, the application of complexity theory for the study of entrepreneurship ecosystem and future research directions have been comprehensively discussed. The paper contributes to the entrepreneurship research with its emphasis on the application of complexity theory as a new line of reasoning for the study of entrepreneurial ecosystems