In-memory database acceleration on FPGAs: a survey
While FPGAs have seen prior use in database systems, in recent years interest in using
FPGA to accelerate databases has declined in both industry and academia for the following …
FPGA to accelerate databases has declined in both industry and academia for the following …
A survey of deep learning techniques for autonomous driving
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
Spatten: Efficient sparse attention architecture with cascade token and head pruning
The attention mechanism is becoming increasingly popular in Natural Language Processing
(NLP) applications, showing superior performance than convolutional and recurrent …
(NLP) applications, showing superior performance than convolutional and recurrent …
Mix and match: A novel fpga-centric deep neural network quantization framework
Deep Neural Networks (DNNs) have achieved extraordinary performance in various
application domains. To support diverse DNN models, efficient implementations of DNN …
application domains. To support diverse DNN models, efficient implementations of DNN …
Hbm connect: High-performance hls interconnect for fpga hbm
With the recent release of High Bandwidth Memory (HBM) based FPGA boards, developers
can now exploit unprecedented external memory bandwidth. This allows more memory …
can now exploit unprecedented external memory bandwidth. This allows more memory …