A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.
Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...
Silicon photonics is the study of the optical properties of the group-IV semiconductor and the design and fabrication of devices for generating, manipulating and detecting light. Silicon is prevalent ...
Abstract: Quantized GEneral Matrix-Vector multiplication (GEMV) is a critical computational kernel in the inference process of Large Language Models (LLM). It has a significant impact on the ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV algorithms to diverse matrices and ...
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