KENTUCKY\u27S ADAPTER FOR PARALLEL EXECUTION AND RAPID SYNCHRONIZATION

As network hardware has become faster, inefficient communication and synchronization mechanisms often have proven to be fast enough but better models are needed in order to support future systems. The aggregate function communication model, and the KAPERS design and implementation presented in this thesis, provide more efficient ways to implement a wide range of higher-level communication and synchronization operations. The main contributions of this work center on a new way to use FPGA-based memory in an aggregate function network (AFN). The basic functions were designed and implemented with modal encoding to create a global memory that allows variable length objects and object addresses. New and enhanced algorithms were written for use with the new AFN architecture. This thesis also details the KAPERS prototype hardware implementation