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Optimizing I/O in Applications; Jialin Liu Interview
Manage episode 240107150 series 2300204
Контент предоставлен NERSC User News. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией NERSC User News или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
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Manage episode 240107150 series 2300204
Контент предоставлен NERSC User News. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией NERSC User News или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
In this interview with NERSC HPC Data Analytics Engineer Jialin Liu, learn about a case study on I/O optimization, in which the team took the Etalumis learning application from spending 75% of its time on I/O down to spending only 5% of its time on I/O.
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