Frank Hannig - Böcker

This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The new, on-demand fault-tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors.

This book constitutes the proceedings of the 17th International Symposium on Applied Reconfigurable Computing, ARC 2021, held as a virtual event, in June 2021. The 14 full papers and 11 short presentations presented in this volume were carefully reviewed and selected from 40 submissions.

FPGAs for Software Programmers

This book constitutes theproceedings of the 29th International Conference on Architecture of ComputingSystems, ARCS 2016, held in Nuremberg, Germany, in April 2016. The 29 full papers presented in this volume werecarefully reviewed and selected from 87 submissions.network-on-chip and secure computing architectures; organic computing systems;

This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors.

This book makes powerful Field Programmable GateArray (FPGA) and reconfigurable technology accessible to software engineers bycovering different state-of-the-art high-level synthesis approaches (e.g.,OpenCL and several C-to-gates compilers). It introduces FPGA technology, itsprogramming model, and how various applications can be implemented on FPGAswithout going through low-level hardware design phases. Readers will get arealistic sense for problems that are suited for FPGAs and how to implementthem from a software designer’s point of view. The authors demonstrate that FPGAs and their programming model reflectthe needs of stream processing problems much better than traditional CPU or GPUarchitectures, making them well-suited for a wide variety of systems, fromembedded systems performing sensor processing to large setups for Big Datanumber crunching.  This book serves as aninvaluable tool for software designers and FPGA design engineers who are interestedin high design productivity through behavioural synthesis, domain-specificcompilation, and FPGA overlays.Introduces FPGA technology to softwaredevelopers by giving an overview of FPGA programming models and design tools,as well as various application examples;Provides a holistic analysis of the topic andenables developers to tackle the architectural needs for Big Data processingwith FPGAs;Explains the reasons for the energy efficiencyand performance benefits of FPGA processing;Provides a user-orientedapproach and a sense for where and how to apply FPGA technology.

This book covers two main topics: First, novel fast and flexible simulation techniques for modern heterogeneous NoC-based multi-core architectures. These are implemented in the full-system simulator called InvadeSIM and designed to study the dynamic behavior of hundreds of parallel application programs running on such architectures while competing for resources. Second, a novel actor-oriented programming library called ActorX10, which allows to formally model parallel streaming applications by actor graphs and to analyze predictable execution behavior as part of so-called hybrid mapping approaches, which are used to guarantee real-time requirements of such applications at design time independent from dynamic workloads by a combination of static analysis and dynamic embedding.