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Found 7 papers, 0 papers with code
Exploiting Kernel Compression on BNNs
In this regard, BNNs are very amenable to edge devices since they employ 1-bit to store the inputs and weights, and thus, their storage requirements are low.
Dynamic Sampling Rate: Harnessing Frame Coherence in Graphics Applications for Energy-Efficient GPUs
In real-time rendering, a 3D scene is modelled with meshes of triangles that the GPU projects to the screen.
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme
In this paper, we observe that the output of a neuron exhibits small changes in consecutive invocations.~We exploit this property to build a neuron-level fuzzy memoization scheme, which dynamically caches each neuron's output and reuses it whenever it is predicted that the current output will be similar to a previously computed result, avoiding in this way the output computations.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs
In this paper, we propose a scheme to predict whether the output of each ReLu activated neuron will be a zero or a positive number in order to skip the computation of those neurons that will likely output a zero.
A Survey of Near-Data Processing Architectures for Neural Networks
Data-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture.
Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition
With computers getting more and more powerful and integrated in our daily lives, the focus is increasingly shifting towards more human-friendly interfaces, making Automatic Speech Recognition (ASR) a central player as the ideal means of interaction with machines.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
