Bolt is an algorithm for compressing vectors of real-valued data and running mathematical operations directly on the compressed representations. |
18 июн. 2022 г. · From what I can tell, this is a machine learning based approximation to matrix multiplication by a particular matrix (which it was trained on). |
Bolt is the most similar method to our own, differing only in the encoding func- tion, the use of averaging instead of upcasting, and the optimization of ... |
21 июн. 2021 г. · We introduce a learning-based algorithm for this task that greatly outperforms existing methods. Experiments using hundreds of matrices from diverse domains |
The recent Maddness method approximates Matrix Multiplication (MatMul) without the need for multiplication by using a hash-based version of product ... |
8 окт. 2021 г. · Matrix Multiplication 10x+ Speedup · Multiplying Matrices Without Multiplying · GitHub - dblalock/bolt: 10x faster matrix and vector operations. |
30 июн. 2017 г. · For example, using our technique to compute approximate dot products in a nested loop can multiply matrices faster than a state-of-the-art BLAS ... |
BOLT computes multiplication between encrypted matrices in HE. We also achieve 7.0-10.6× less communication on ciphertext-plaintext matrix multiplication. |
5 окт. 2021 г. · MADDNESS requires zero multiply-add operations and runs 10x faster than other approximate methods and 100x faster than exact multiplication. |
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