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Multi-Query Attention (MQA) Explained: How to Cut KV Cache by 95%
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PIRL 2020: Transactional Graph Processing in Persistent Memory
[EuroSys'21] Tripoline:Generalized Incremental Graph Processing via Graph Triangle Inequality (Long)
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Prof. Angela Bonifati Graph Processing Systems Back to the Future, Database 2 lectures@UniPadua
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Last Updated: October 29, 2026
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Video presentation of the paper The most overlooked bottleneck in RAG is not chunking. It is not retrieval. It is not the LLM. It is the question you send to retrieval. Why are large language models (LLMs) slow during inference? It's rarely the arithmetic, it's memory bandwidth. In this video, we ... Your AI model is brilliant, but it has never read your company's data. There are three main ways to fix that: RAG, Knowledge ... This sixth installment in our series on ClickHouse performance explores the powerful vectorized Presenter: Philipp Götze Presentation: drive.google.com/file/d/1kkekNs1zXXkZweBfOkHv4vnnT8DlcXXe/view?usp=sharing ... For compute-intensive iterative DuckLake works well out of the box. Getting faster Table of Contents (powered by videoken.com) 0:00:11 [Talk: An increasing number of linked knowledge bases are openly accessible Description In this video, we'll dive deep into how
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