Dataset Groups Activity Stream DMC4ML: Data Movement Complexity for Machine Learning The dataset used in this paper for analyzing the memory cost of three machine learning algorithms: transformers, spatial convolution, and FFT. BibTex: @dataset{Chen_Ding_and_Christopher_Kanan_and_Dylan_McKellips_and_Toranosuke_Ozawa_and_Arian_Shahmirza_and_Wesley_Smith_2024, abstract = {The dataset used in this paper for analyzing the memory cost of three machine learning algorithms: transformers, spatial convolution, and FFT.}, author = {Chen Ding and Christopher Kanan and Dylan McKellips and Toranosuke Ozawa and Arian Shahmirza and Wesley Smith}, doi = {10.57702/2n1x5vux}, institution = {No Organization}, keyword = {'FFT', 'data movement complexity', 'machine learning', 'spatial convolution', 'transformers'}, month = {dec}, publisher = {TIB}, title = {DMC4ML: Data Movement Complexity for Machine Learning}, url = {https://service.tib.eu/ldmservice/dataset/dmc4ml--data-movement-complexity-for-machine-learning}, year = {2024} }
