Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210362238> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4210362238 abstract "During the recent years artificial neural networks have become a great part of everyday life. One of the big problems in AI is acceleration of neural network inference using different hardware: from CPUs and GPUs to FPGAs and ASICs. Many open-source tools have been proposed for this purpose. This article contains a review of a range of open-source tools for neural network optimization, acceleration and hardware synthesis. Tools of three types have been chosen for evaluation: 1) translating neural network models into synthesizable C; 2) accelerating neural network models using custom hardware accelerators; 3) synthesizing Verilog from neural network models. Some of the tools have been tested using five simple neural network examples. Intel CPU, NVIDIA GPU and Cyclone V FPGA hardware platforms have been used for evaluation. Results show that the tested tools can successfully process neural network models and optimize them for CPU and GPU execution, whereas FPGA execution results are controversial." @default.
- W4210362238 created "2022-02-08" @default.
- W4210362238 creator A5015378704 @default.
- W4210362238 creator A5056885686 @default.
- W4210362238 date "2021-09-01" @default.
- W4210362238 modified "2023-09-28" @default.
- W4210362238 title "A Survey of Open-source Tools for FPGA-based Inference of Artificial Neural Networks" @default.
- W4210362238 cites W1552535138 @default.
- W4210362238 cites W2627042741 @default.
- W4210362238 cites W2766858656 @default.
- W4210362238 cites W2889111331 @default.
- W4210362238 cites W2899954960 @default.
- W4210362238 cites W2916484109 @default.
- W4210362238 cites W2937249639 @default.
- W4210362238 cites W2964010167 @default.
- W4210362238 cites W2971441423 @default.
- W4210362238 cites W3036033155 @default.
- W4210362238 cites W3041178375 @default.
- W4210362238 cites W4243674899 @default.
- W4210362238 cites W4243682116 @default.
- W4210362238 cites W4249932213 @default.
- W4210362238 doi "https://doi.org/10.1109/ivmem53963.2021.00015" @default.
- W4210362238 hasPublicationYear "2021" @default.
- W4210362238 type Work @default.
- W4210362238 citedByCount "2" @default.
- W4210362238 countsByYear W42103622382022 @default.
- W4210362238 countsByYear W42103622382023 @default.
- W4210362238 crossrefType "proceedings-article" @default.
- W4210362238 hasAuthorship W4210362238A5015378704 @default.
- W4210362238 hasAuthorship W4210362238A5056885686 @default.
- W4210362238 hasConcept C111919701 @default.
- W4210362238 hasConcept C118524514 @default.
- W4210362238 hasConcept C13164978 @default.
- W4210362238 hasConcept C149635348 @default.
- W4210362238 hasConcept C154945302 @default.
- W4210362238 hasConcept C2776214188 @default.
- W4210362238 hasConcept C2779030575 @default.
- W4210362238 hasConcept C41008148 @default.
- W4210362238 hasConcept C42935608 @default.
- W4210362238 hasConcept C50644808 @default.
- W4210362238 hasConcept C81363708 @default.
- W4210362238 hasConcept C98045186 @default.
- W4210362238 hasConceptScore W4210362238C111919701 @default.
- W4210362238 hasConceptScore W4210362238C118524514 @default.
- W4210362238 hasConceptScore W4210362238C13164978 @default.
- W4210362238 hasConceptScore W4210362238C149635348 @default.
- W4210362238 hasConceptScore W4210362238C154945302 @default.
- W4210362238 hasConceptScore W4210362238C2776214188 @default.
- W4210362238 hasConceptScore W4210362238C2779030575 @default.
- W4210362238 hasConceptScore W4210362238C41008148 @default.
- W4210362238 hasConceptScore W4210362238C42935608 @default.
- W4210362238 hasConceptScore W4210362238C50644808 @default.
- W4210362238 hasConceptScore W4210362238C81363708 @default.
- W4210362238 hasConceptScore W4210362238C98045186 @default.
- W4210362238 hasLocation W42103622381 @default.
- W4210362238 hasOpenAccess W4210362238 @default.
- W4210362238 hasPrimaryLocation W42103622381 @default.
- W4210362238 hasRelatedWork W2066159914 @default.
- W4210362238 hasRelatedWork W2295680811 @default.
- W4210362238 hasRelatedWork W2369375926 @default.
- W4210362238 hasRelatedWork W2782201534 @default.
- W4210362238 hasRelatedWork W2888246238 @default.
- W4210362238 hasRelatedWork W3015039984 @default.
- W4210362238 hasRelatedWork W3027559990 @default.
- W4210362238 hasRelatedWork W3102740456 @default.
- W4210362238 hasRelatedWork W4206242075 @default.
- W4210362238 hasRelatedWork W4327640786 @default.
- W4210362238 isParatext "false" @default.
- W4210362238 isRetracted "false" @default.
- W4210362238 workType "article" @default.