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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2020-12-07 4 110 UNK (0.5)
Oral Assessments Graduate 2020-12-07 4 111 S01 in fact uh: almost every computers have
Oral Assessments Graduate 2020-12-07 4 112 S01 the gpu but the: um computered with high
Oral Assessments Graduate 2020-12-07 4 113 S01 performance would have the more advanced gpu↘
Oral Assessments Graduate 2020-12-07 4 114 UNK (1.4)
Oral Assessments Graduate 2020-12-07 4 115 S01 so the general computer would have gpu to process the image
Oral Assessments Graduate 2020-12-07 4 116 UNK (0.4)
Oral Assessments Graduate 2020-12-07 4 117 T01 so are we on- re- you said we're talking about gpus only
Oral Assessments Graduate 2020-12-07 4 118 T01 in high performance computers so
Oral Assessments Graduate 2020-12-07 4 119 T01 are they- how is this different from from like the
Oral Assessments Graduate 2020-12-07 4 120 T01 gpu that's in that computer over there
Oral Assessments Graduate 2020-12-07 4 121 S01 mm: they would lie- they would include more
Oral Assessments Graduate 2020-12-07 4 122 S01 uh chips and mo:re memory.
Oral Assessments Graduate 2020-12-07 4 123 S01 uh so it could uh (0.5) process the data in a more performance
Oral Assessments Graduate 2020-12-07 4 124 S01 or in a more efficient way
Oral Assessments Graduate 2020-12-07 4 125 T01 oh okay i think i understand↘
Oral Assessments Graduate 2020-12-07 4 126 S01 yeah yes↘ this is the structure of gpu↘
Oral Assessments Graduate 2020-12-07 4 127 S01 um: now↘ next are the include- are xxx that's cuda
Oral Assessments Graduate 2020-12-07 4 128 S01 which is a program language (.) ju- which- uh and is
Oral Assessments Graduate 2020-12-07 4 129 S01 and would- and will be used to progra:m of the gpu more easily