Structure Data Layout Optimization （SDLO） is a prevailing compiler optimization technique to improve cache efficiency. Structure transformation is a critical step for SDLO. Diversity of transformation methods and existence of complex data types are major challenges for structure transformation. We have designed and implemented STrans, a well-defined system which provides controllable and comprehensive functionality on structure transformation. Compared to known systems, it has less limitation on data types for transformation. In this paper we give formal definition of the approach STrans transforms data types. We have also designed Transformation Specification Language, a mini language to configure how to transform structures, which can be either manually tuned or generated by compiler. STrans supports three kinds of transformation methods, i.e., splitting, peeling, and pool-splitting, and works well on different combinations of compound data types. STrans is the transformation system used in ASLOP and is well tested for all benchmarks for ASLOR
Given the emerging problems of today’s Internet,many new Internet architectures have been proposed by the net-working community.In general,the new approaches can be categorized into two types:evolutionary approaches and clean-slate approaches.The representative evolutionary solution is IPv6,while representative clean-slate approaches are NDN(Named Data Networking),MobilityFirst,NEBULA,XIA(Expressive Internet Architecture),and SDN(Software-Defined Networking).A comprehensive survey of these approaches are presented.Additionally,a novel network architecture that we recently proposed:ADN(Address-Driven Networking)is described,which intends to address the challenges faced by today’s Internet via the flexible and innovative utilization of IP addresses.
