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G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators [article]

Tiago Diadami Perez, Márcio M. Gonçalves, José Rodrigo Azambuja, Leonardo Gobatto, Marcelo Brandalero, Samuel Pagliarini
2021 arXiv   pre-print
Considering the broad range of applications and necessity for specialization, the design of SoCs has thus become expressively more challenging.  ...  Modern Systems on Chip (SoC), almost as a rule, require accelerators for achieving energy efficiency and high performance for specific tasks that are not necessarily well suited for execution in standard  ...  In [11] , the authors have included new instructions along with micro-architecture and compiler enhancements to specialize FPGU for persistent deep learning, achieving 56-693x speed-up in PDL applications  ... 
arXiv:2111.06166v2 fatcat:g2un645vvrdlxkpdmpp4pwyocu

Reconfigurable Hardware Accelerators: Opportunities, Trends, and Challenges [article]

Chao Wang, Wenqi Lou, Lei Gong, Lihui Jin, Luchao Tan, Yahui Hu, Xi Li, Xuehai Zhou
2017 arXiv   pre-print
In the end, we prospect the development tendency of accelerator architectures in the future, hoping to provide a reference for computer architecture researchers.  ...  With the emerging big data applications of Machine Learning, Speech Recognition, Artificial Intelligence, and DNA Sequencing in recent years, computer architecture research communities are facing the explosive  ...  Focused on the implementation of the prediction process, data access optimization, and pipeline structure in large-scale deep learning neural networks, reference [59] introduces a deep learning prediction  ... 
arXiv:1712.04771v1 fatcat:3lxv45qb4zaqpagtn3eghrmroe