This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book. ++++ The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to ensure edition identification: ++++ Meteors And Sunsets Observed By The Astronomers Of The Lick Observatory In 1893, 1894, And 1895; Issue 5 Of Contributions From The Lick Observatory; Lick Observatory Lick Observatory, Edward Singleton Holden, John Martin Schaeberle, Allen Lysander Colton, Charles Dillon Perrine A.J. Johnston, superintendent state printing, 1895 Science; Astronomy; Astronomy; Meteors; Science / Astronomy; Sunset phenomena

This thesis presents a Java processor designed for time-predictable execution of real-time tasks. JOP (Java Optimized Processor) is the implementation of the Java virtual machine in hardware. JOP is intended for applications in embedded real-time systems and the primary implementation technology is in a field programmable gate array. This research demonstrates that a hardware implementation of the Java virtual machine results in a small design for resource-constrained devices. Architectural advancements in modern processor designs increase average performance with features such as pipelines, caches and branch prediction. However, these features complicate worst-case execution time (WCET) analysis and lead to very conservative WCET estimates. This thesis tackles this problem from the architectural perspective - by introducing a processor architecture in which simpler and more accurate WCET analysis is more important than average case performance. The proposed processor and the Java real-time profile have been used with success to implement several commercial real-time applications.