Search Results for author:
Found 4 papers, 0 papers with code
Low precision logarithmic number systems: Beyond base-2
Second, we show that low-precision LNS addition and subtraction can be implemented efficiently in logic rather than commonly used ROM lookup tables, the complexity of which can be reduced by an appropriate choice of base.
Numerical Analysis Numerical Analysis Signal Processing 65G50 C.m; G.0
Feature Representation in Deep Metric Embeddings
In deep metric learning (DML), high-level input data are represented in a lower-level representation (embedding) space, such that samples from the same class are mapped close together, while samples from disparate classes are mapped further apart.
HOBFLOPS CNNs: Hardware Optimized Bitslice-Parallel Floating-Point Operations for Convolutional Neural Networks
HOBFLOPS allows researchers to prototype different levels of custom FP precision in the arithmetic of software CNN accelerators.
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are one of the most successful deep machine learning technologies for processing image, voice and video data.
