Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Pruning of Winograd and FFT Based Convolution Algorithm
Fast Algorithms for Convolutional Neural Networks
The Design and Implementation of FFTW3
Frequency Domain Acceleration of Convolutional Neural Networks on CPU-FPGA Shared Memory System
Calculation of computational complexity for radix-2 p fast fourier transform algorithms for medical signals
Computational Frameworks for the Fast Fourier Transform (Charles Van Loan)
One Million-Point FFT
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
High performance ultra-low-precision convolutions on mobile devices
Building Efficient ConvNets using Redundant Feature Pruning
Low Cost Convolutional Neural Network Accelerator Based on Bi-Directional Filtering and Bit-Width Reduction
FFTW: an adaptive software architecture for the FFT
Low-Power Split-Radix FFT Processors Using Radix-2 Butterfly Units
Verilog Implementation of 32 Point FFT Using Radix-2 Algorithm on FPGA Technology
Real-valued Fast Fourier Transform Algorithms
Design and Simulation of 32-Point FFT Using Radix-2 Algorithm for FPGA Implementation
Structured Pruning of Deep Convolutional Neural Networks
Constructing Fast Network through Deconstruction of Convolution
An In-Place FFT Architecture for Real-Valued Signals
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
CCmutator: A mutation generator for concurrency constructs in multithreaded C/C++ applications
Enhancing MOOC with Augmented Reality, Adaptive Learning and Gamification
Software architecture: foundations, theory, and practice
Deep Fried Convnets
mhoms : high - speed acm modem for satellite applications .