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Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.
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Heterogeneous computing results in both challenges and opportunities. This book discusses both. It shows that we need to deal with these challenges at all levels of the computing stack: from algorithms all the way to process technology. We discuss the topic of heterogeneous computing from different angles: hardware challenges, current hardware state-of-the-art, software issues, how to make the best use of the current heterogeneous systems, and what lies ahead. The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.
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Long description: The GI/ITG International Conference on Architecture of Computing Systems (ARCS) looks back at more than 30 years of tradition in reporting high quality results in computer architecture as well as operating systems research. ARCS has become an important forum for research in these areas and has a long tradition of hosting associated workshops complementing the programme of the conference with specific topics extending the technical scope of the conference. This year, ARCS 2019 was organised at Technical University of Denmark, Copenhagen, Denmark, from May 20 to May 23, 2019. This year, the following workshops were held within ARCS: - 15th Workshop on Dependability and Fault Tolerance (VERFE’19) - 7th International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS’19) - 4th Workshop of the Multi-Core Safe and Software-intensive Systems Improvement Community (FORMUS3IC)
Security --- Embedded Systems --- Organic Computing --- Computer Architecture --- Dependability --- Fault Injection --- Fault Tolerance --- Heterogeneous Computing --- Self-adaptation --- Worst Case Execution Time --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers) --- Trustworthiness --- Conduct of life --- Architecture, Computer
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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.
nuclei detection --- System-on-Chip --- FPGA --- K-Means --- hardware acceleration --- image analysis --- perceptual coding --- line buffer --- heterogeneous computing --- window filters --- processor architectures --- hardware accelerators --- stream processing --- embedded systems --- image processing pipeline --- image processing --- generalized Laplacian of Gaussian filter --- background estimation --- real-time systems --- FPGA implementation --- hardware architecture --- compression --- image borders --- memory --- zig-zag scan --- histopathology --- just-noticeable difference (JND) --- memory management --- downsampling --- image segmentation --- feature extraction --- design --- mean Shift clustering --- high-throughput --- segmentation --- streaming architecture --- power --- D-SWIM --- hardware/software co-design --- high-level synthesis --- contrast masking --- texture detection --- pipeline --- field programmable gate array (FPGA) --- JPEG-LS --- low-latency --- connected components analysis --- luminance masking --- field programmable gate arrays (FPGA)
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