Abstract: This paper presents ternary systolic array archi-tecture for matrix multiplication for ternary neural networks and image processing algorithms in ternary logic. As part of the architecture, ...
Systolic arrays are fundamental building blocks for efficient matrix multiplication and ML accelerators (e.g., Google TPU, tensor cores). A reusable, well-tested systolic array library would benefit ...
This passive device lets you steer signal beams for over-the-air wireless test systems. Because it’s designed for antenna, amplifier, and RF system testing, the LBM-7250-4 Lab Brick Butler Matrix lets ...
Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, California 92093, United States ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
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Abstract: Sparse Matrix-Matrix Multiplication (SpMM) and Generalized Sparse Matrix-Matrix Multiplication (SpGEMM) are essential computational kernels in domains such as graph analytics and scientific ...
A new technical paper titled “Scalable MatMul-free Language Modeling” was published by UC Santa Cruz, Soochow University, UC Davis, and LuxiTech. “Matrix multiplication (MatMul) typically dominates ...
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