This is the first book to focus on designing run-time reconfigurable systems on FPGAs, in order to gain resource and power efficiency, as well as to improve speed. Case studies in partial reconfiguration guide readers through the FPGA jungle, straight toward a working system. The discussion of partial reconfiguration is comprehensive and practical, with models introduced together with methods to implement efficiently the corresponding systems. Coverage includes concepts for partial module integration and corresponding communication architectures, floorplanning of the on-FPGA resources, physical implementation aspects starting from constraining primitive placement and routing all the way down to the bitstream required to configure the FPGA, and verification of reconfigurable systems.

This is the first book to focus on designing run-time reconfigurable systems on FPGAs, in order to gain resource and power efficiency, as well as to improve speed. Case studies in partial reconfiguration guide readers through the FPGA jungle, straight toward a working system. The discussion of partial reconfiguration is comprehensive and practical, with models introduced together with methods to implement efficiently the corresponding systems. Coverage includes concepts for partial module integration and corresponding communication architectures, floorplanning of the on-FPGA resources, physical implementation aspects starting from constraining primitive placement and routing all the way down to the bitstream required to configure the FPGA, and verification of reconfigurable systems.

This book constitutes the proceedings of the 31st International Conference on Architecture of Computing Systems, ARCS 2018, held in Braunschweig, Germany, in April 2018.The 23 full papers presented in this volume were carefully reviewed and selected from 53 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.

This book makes powerful Field Programmable Gate Array (FPGA) and reconfigurable technology accessible to software engineers by covering different state-of-the-art high-level synthesis approaches (e.g., OpenCL and several C-to-gates compilers). It introduces FPGA technology, its programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get a realistic sense for problems that are suited for FPGAs and how to implement them from a software designer's point of view. The authors demonstrate that FPGAs and their programming model reflect the needs of stream processing problems much better than traditional CPU or GPU architectures, making them well-suited for a wide variety of systems, from embedded systems performing sensor processing to large setups for Big Data number crunching. This book serves as an invaluable tool for software designers and FPGA design engineers who are interested in high design productivity through behavioural synthesis, domain-specific compilation, and FPGA overlays. Introduces FPGA technology to software developers by giving an overview of FPGA programming models and design tools, as well as various application examples; Provides a holistic analysis of the topic and enables developers to tackle the architectural needs for Big Data processing with FPGAs; Explains the reasons for the energy efficiency and performance benefits of FPGA processing; Provides a user-oriented approach and a sense for where and how to apply FPGA technology.

This book makes powerful Field Programmable Gate Array (FPGA) and reconfigurable technology accessible to software engineers by covering different state-of-the-art high-level synthesis approaches (e.g., OpenCL and several C-to-gates compilers). It introduces FPGA technology, its programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get a realistic sense for problems that are suited for FPGAs and how to implement them from a software designer's point of view. The authors demonstrate that FPGAs and their programming model reflect the needs of stream processing problems much better than traditional CPU or GPU architectures, making them well-suited for a wide variety of systems, from embedded systems performing sensor processing to large setups for Big Data number crunching. This book serves as an invaluable tool for software designers and FPGA design engineers who are interested in high design productivity through behavioural synthesis, domain-specific compilation, and FPGA overlays. Introduces FPGA technology to software developers by giving an overview of FPGA programming models and design tools, as well as various application examples; Provides a holistic analysis of the topic and enables developers to tackle the architectural needs for Big Data processing with FPGAs; Explains the reasons for the energy efficiency and performance benefits of FPGA processing; Provides a user-oriented approach and a sense for where and how to apply FPGA technology.

Die Studie beginnt nach der Entfaltung der Problemstellung mit einer Beschreibung der klassischen Auffassung von Projektmanagement. Ausgehend von einer kurzen Schilderung der Urspr nge werden die f r die Untersuchung ma geblichen Charakteristika des als klassisch bezeichneten Projektmanagements dargestellt. Dabei werden Parallelen zur tayloristischen Arbeitsorganisation und Arbeitssteuerung sowie das Leitbild der Planung bzw. Methoden der Planung (Phasenmodell, Projektstrukturplan, Balkendiagramm und Netzplanverfahren) n her erl utert. In diesem Zusammenhang wird auf Schwierigkeiten der klassischen Planungsmethoden bzw. des planungsgeleiteten Handelns hingewiesen. Unter anderem werden ex ante bestehende Informationsdefizite, lediglich monokausal erfasste Zusammenh nge sowie die personelle Aufteilung von Managementt tigkeiten (Planung) und ausf hrenden T tigkeiten in Projekten benannt. In der weiteren Untersuchung wird anhand aktueller Entwicklungen im Projektmanagement die Angemessenheit bzw. Praktikabilit t klassischer Projektmanagement-Methoden in Frage gestellt. Hierzu werden in der Arbeit vier Entwicklungstrends aufgezeigt, die symptomatisch f r die Zunahme der Komplexit t im Projektmanagement sind: Die gleichzeitige Planung, bergreifende Steuerung und berwachung mehrerer Projekte (Multiprojektmanagement), die zunehmende Internationalisierung und Vernetztheit von Projektarbeit, Unw gbarkeiten bei Planungen sowie die st rkere Bedeutung von "soft skills." Daraus resultiert die Feststellung, dass die klassischen Methoden und Instrumente angesichts zunehmender Komplexit t und Dynamik nicht vom Leitbild der Planung und der Herstellung von Planbarkeit abweichen. Im Zusammenhang mit den angef hrten Entwicklungen wird aufgezeigt, dass die erforderliche Qualit t und Menge von Informationen als Voraussetzung f r klassische Projektmanagement-Methoden zunehmend stark schwinden und bei wachsender Komplexit t, prinzipiell unvollst ndigen Informationen sowie schrumpfender Pl