With the increasing probability of software errors being caused by hardware transient faults, hardware engineers require better methods to evaluate the impact of faults and determine how to harden their products again...
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With the announcement of the most advanced silicon spin quantum-bit (qubit) chip by Intel, silicon-based quantum circuit manufacturing technology has shown the superior potential to realize quantum computing to other ...
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Over the past year, ieee CEDA DATC has continued to improve the DATC Robust design Flow (RDF) while also advancing open infrastructure for research, including machine learning for electronic design automation (ML EDA)...
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Mixture-of-Experts (MoE) models are designed to enhance the efficiency of large language models (LLMs) without proportionally increasing the computational demands. However, their deployment on edge devices still faces...
The automated generation of design RTL based on large language model (LLM) and natural language instructions has demonstrated great potential in agile circuit design. However, the lack of datasets and benchmarks in th...
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Electronic design Automation (EDA) tools are critical in the Very Large Scale Integration (VLSI) flow. To address the challenges posed by the extensive search space and intricate feature interactions, statistical and ...
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Floorplanning for systems-on-a-chip (SoCs) and its sub-systems is a crucial and non-trivial step of the physical design flow. It represents a difficult combinatorial optimization problem. A typical large scale SoC wit...
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Hyperdimensional Computing (HDC), a promising alternative to address the limitations of edge devices, is not exempt from the security challenges confronted by machine learning algorithms, in particular, adversarial at...
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2.5D integration is gaining popularity primarily due to its ability to facilitate intellectual property (IP) reuse. Unlike conventional 2D and 3D approaches, 2.5D integration requires a more complex design and analysi...
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Graph mining is an important and complex emerging algorithmic model with extensive applications in fields including social sciences, chemoinformatics, and bioinformatics. However, contemporary graph mining accelerator...
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