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Titlebook: VLSI-SoC: Design Trends; 28th IFIP WG 10.5/IE Andrea Calimera,Pierre-Emmanuel Gaillardon,Ricardo Conference proceedings 2021 IFIP Internati

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發(fā)表于 2025-3-21 17:32:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱VLSI-SoC: Design Trends
副標題28th IFIP WG 10.5/IE
編輯Andrea Calimera,Pierre-Emmanuel Gaillardon,Ricardo
視頻videohttp://file.papertrans.cn/981/980121/980121.mp4
叢書名稱IFIP Advances in Information and Communication Technology
圖書封面Titlebook: VLSI-SoC: Design Trends; 28th IFIP WG 10.5/IE Andrea Calimera,Pierre-Emmanuel Gaillardon,Ricardo Conference proceedings 2021 IFIP Internati
描述This book contains extended and revised versions of the best papers presented at the 28th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2020, held in Salt Lake City, UT, USA, in October 2020.*.The 16 full papers included in this volume were carefully reviewed and selected from the 38 papers (out of 74 submissions) presented at the conference. The papers discuss the latest academic and industrial results and developments as well as future trends in the field of System-on-Chip (SoC) design, considering the challenges of nano-scale, state-of-the-art and emerging manufacturing technologies. In particular they address cutting-edge research fields like low-power design of RF, analog and mixed-signal circuits, EDA tools for the synthesis and verification of heterogenous SoCs, accelerators for cryptography and deep learning and on-chip Interconnection system, reliability and testing, and integration of 3D-ICs...*The conference was held virtually..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; cad; communication systems; computer hardware; computer-aided design; distribute
版次1
doihttps://doi.org/10.1007/978-3-030-81641-4
isbn_softcover978-3-030-81643-8
isbn_ebook978-3-030-81641-4Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2021
The information of publication is updating

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Mixed-Mode Signal Processing for Implementing MCMC MIMO Detector, detector based on Markov Chain Monte Carlo (MCMC) algorithm for a 4 . 4?MIMO system is presented. A careful partitioning between analog and digital domains has been made to reduce system power consumption. The outputs of the proposed analog signal processing unit are being converted to digital usin
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Assessing the Configuration Space of the Open Source NVDLA Deep Learning Accelerator on a Mainstreafore, many dedicated solutions have been proposed in the literature and market. However, most of them remain proprietary or lack maturity, thus preventing the adoption of deep-learning (DL) based software in new application domains. The Nvidia Deep-Learning Accelerator (NVDLA) is a free and open arc
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SAT-Based Mapping of Data-Flow Graphs onto Coarse-Grained Reconfigurable Arrays,rmance. We propose a method to map data-flow graphs onto CGRAs by SAT solving. The proposed method can perform the automatic transformation which changes the order of operations in data-flow graphs to obtain more efficient schedules. It also accommodates mapping of multi-node operations like MAC ope
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Learning Based Timing Closure on Relative Timed Design,sign correctness and performance properties of digital circuits in the form of a set of timing constraints. These circuits often show significant performance and power advantages over other approaches, but require assistance to automate timing driven synthesis and place and route in commercial elect
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Multilevel Signaling for High-Speed Chiplet-to-Chiplet Communication,ined innovations in integration methodologies. While the semiconductor market has already started witnessing some of these in product forms, many other techniques are currently under investigation in both academia and industry. In this chapter, we explore a 2.5D integrated system where the interconn
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Modular Functional Testing: Targeting the Small Embedded Memories in GPUs,ility and functional safety are relevant factors. Nowadays, many challenges are impacting the implementation of high-performance devices, including GPUs. Moreover, there is the need for effective fault detection solutions to guarantee the correct in-field operation. This work describes a modular app
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