{"id":"W3090302053","doi":"10.1109/tcsi.2021.3066967","title":"CARLA: A Convolution Accelerator With a Reconfigurable and Low-Energy Architecture","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Convolutional neural network; Dram; Convolution (computer science); Architecture; Latency (audio); Computation; Efficient energy use; Computer architecture; Computer engineering; Residual neural network; Embedded system; Parallel computing; Computer hardware; Artificial intelligence; Algorithm; Artificial neural network; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Hardware architecture for convolutional neural network acceleration."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The paper develops a neural-network hardware accelerator rather than studying research practice."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Hardware architecture for CNN acceleration, computer engineering domain work."}}}