| 000 | 03244nas a22003255i 4500 | ||
|---|---|---|---|
| 001 | 1572-8080 | ||
| 003 | DE-He213 | ||
| 005 | 20260610082458.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150723s||||||||xxuuu poo|||||| b|EN |d | ||
| 022 | _a1572-8080 | ||
| 024 | 7 |
_a10.1007/10617.1572-8080 _2doi |
|
| 210 | 1 | 0 | _aDes Autom Embed Syst |
| 245 | 1 | 0 |
_aDesign Automation for Embedded Systems _h[electronic resource] : _bAn International Journal / _cedited by Reinaldo A. Bergamaschi, Wolfgang Rosenstiel. |
| 264 | 1 |
_aNew York : _bSpringer US : _bImprint: Springer. |
|
| 300 | _bonline resource. | ||
| 520 | _aDesign Automation for Embedded Systems is a multidisciplinary journal dedicated to cutting-edge research in the automation of embedded systems design. As embedded systems evolve to meet the demands of increasingly complex and intelligent applications—spanning sectors from automotive and aerospace to IoT and edge AI—the need for advanced design methodologies and tools has never been greater. The journal focuses on innovations that push the boundaries of how embedded systems are architected, designed, verified, and deployed. Core areas of interest include: Hardware-Software Co-design, synthesis, and optimization for embedded systems, FPGAs, multicore, and heterogeneous systems AI-assisted design and optimization workflows, including agentic systems and reinforcement-learning-based automation System-level methodologies leveraging large language models (LLMs) for specification, code synthesis, hardware/software partitioning, and design-space exploration LLM-aided tools for Register-Transfer Level (RTL) design, High-Level Synthesis (HLS), and formal verification AI hardware acceleration and co-design methodologies for deploying machine learning workloads on edge and embedded platforms New datasets, benchmarks, and evaluation frameworks that enable reproducibility and standardization in embedded system design research Data science and analytics techniques applied to design automation pipelines, performance tuning, and debugging We welcome contributions that blend embedded systems with advances in artificial intelligence, computer architecture, design methodology, and software engineering. High-quality submissions may include theoretical innovations, practical tools and frameworks, novel architectures, empirical studies, and real-world case studies. Design Automation for Embedded Systems serves as a forum for researchers and practitioners to present transformative ideas that advance the future of intelligent, automated embedded system design. . | ||
| 650 | 0 | _aElectronic circuits. | |
| 650 | 0 | _aComputer-aided engineering. | |
| 650 | 0 | _aComputers, Special purpose. | |
| 650 | 1 | 4 | _aElectronic Circuits and Systems. |
| 650 | 2 | 4 | _aComputer-Aided Engineering (CAD, CAE) and Design. |
| 650 | 2 | 4 | _aSpecial Purpose and Application-Based Systems. |
| 700 | 1 |
_aBergamaschi, Reinaldo A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aRosenstiel, Wolfgang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 776 | 0 | 8 |
_iPrinted version: _x0929-5585 |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/10617.1572-8080 _zHybrid |
| 999 |
_c2060 _d2060 |
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