A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...
This project implements various secure matrix multiplication algorithms using the CKKS (Cheon-Kim-Kim-Song) homomorphic encryption scheme through OpenFHE library. It includes benchmarking tools, tests ...
With its 3-star rating, we believe Nvidia’s stock is fairly valued compared with our long-term fair value estimate of $190 per share. Our fair value estimate and Nvidia’s stock price will be driven by ...
STARLight Project chosen as the European consortium to take the lead in next-generation Silicon Photonics on 300mm wafers 24 leading technology ...
In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...
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New 3D-stacked memory tech seeks to dethrone HBM in AI inference — d-Matrix claims 3DIMC will be 10x faster and 10x more efficient
Santa Clara-based startup d-Matrix looks to replace HBM in AI inference with 3DIMC, or 3D digital in-memory-compute. The ...
With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...
Abstract: Algorithms in cryptosystem such as RSA and Diffie-Hellman require the large integer multiplication. This paper introduces classical Knuth multiplication, Karatsuba multiplication and their ...
QiMeng-GEMM is an innovative approach to automatically generate high-performance matrix multiplication (GEMM) code using LLMs. This codebase provides a comprehensive solution for efficiently computing ...
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