DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive Generator
statement of authorship                    
                    
Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin; Björn Lisper
                            
                    
source                    
                    
Riazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.
                            
                    
location of publication                    
                    
Piscataway
                            
                    
publisher                    
                    
                
year of publication                    
                    
                
pages                    
                    
p. 1-6
                            
                    
conference name, date                    
                    
2022 IEEE Nordic Circuits and Systems Conference (NorCAS), 25-26 October 2022
                            
                    
conference location                    
                    
Oslo, Norway
                            
                    
subject term                    
                    
                
keyword                    
                    
                
ISBN                    
                    
979-8-3503-4550-6
                            
                    
scientific publication                    
                    
teaduspublikatsioon
                            
                    
classifier                    
                    
                
TalTech department                    
                    
                
language                    
                    
eesti
                            
                    
                Reserch Group
            
            
        
                                    Riazati, M., Daneshtalab, M., Sjodin, M., Lisper, B. DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive Generator // Riazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.. Piscataway : IEEE, 2022. p. 1-6.