Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Embracing Diversity: Enhanced DSP Blocks for Low-Precision Deep Learning on FPGAs
Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks
FFT implementation and optimization on FPGA
PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs
Frequency Domain Acceleration of Convolutional Neural Networks on CPU-FPGA Shared Memory System
Recent Trends in FPGA Architectures and Applications
Concurrent MAC unit design using VHDL for deep learning networks on FPGA
A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing
From opencl to high-performance hardware on FPGAS
LegUp: high-level synthesis for FPGA-based processor/accelerator systems
A library of parameterizable floating-point cores for FPGAs and their application to scientific computing
FPGA routing architecture: segmentation and buffering to optimize speed and density
Efficient sum of absolute difference computation on FPGAs
Latency-driven design for FPGA-based convolutional neural networks
Network-attached FPGAs for data center applications
Accelerating Fluid Registration Algorithm on Multi-FPGA Platforms
FPGA2: An open source framework for FPGA-GPU PCIe communication
A Survey of FPGA-Based Neural Network Accelerator
Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems
Scalable and modularized RTL compilation of Convolutional Neural Networks onto FPGA
Harnessing the power of FPGAs using altera's OpenCL compiler
A framework for performance modeling and prediction
Deep Learning with Limited Numerical Precision
Fully aligned via integration for extendibility of interconnects to beyond the 7 nm node
Quorum responses and consensus decision making
Rotary subsoiling newly planted winter wheat fields to improve infiltration in frozen soil