A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...
Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.
Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...
Abstract: Over the past three decades, the acceptance of higher risk thresholds within the space industry has facilitated the widespread integration of commercial off-the-shelf (COTS) components into ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results