Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...
Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
Abstract: Approximate membership query (AMQ) data structures can approximately determine whether an element exists in a given dataset. They are widely used in parallel and distributed systems (e.g., ...
Recent advances in graphics processing units (GPUs) have opened a new frontier in query processing and database systems. Leveraging the massively parallel architecture of GPUs, modern database engines ...
It seems like pivot table are sending several queries to the database (to compute totals) and those queries are being sent sequentially. This can lead to a huge loading time (if each query is lasting ...
To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...
The advent of large language models (LLMs) marks the most significant shift in the search experience since the rise of mobile technology. Google’s SERPs are evolving beyond the traditional 10 blue ...
Recent approaches exploiting the massively parallel architecture of graphics processors (GPUs) to accelerate database operations have achieved intriguing results. While parallel sorting received ...
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