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| (경력) 2022-현재 망고부스트 CEO 2017-현재 서울대학교 전기정보공학부 교수 2010-2016 포항공과대학교 컴퓨터공학과 교수 2009-2010 Oracle Corporation, Senior Engineer 2008-2009 Sun Microsystms, Technical Staff (학력) - Carnegie Mellon University, Electrical and Computer Engineering (PhD), 2008 - Cornell University, Computer Science (석사), 2001 - Cornell University, Computer Engineering (학사), 1997 |
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| To realize cost-effective AI processing, modern high-performance computer systems are deploying an increasing number of high-performance devices (e.g., GPU, SSD, NPU, NIC) per server, and they all aim to maximize the target application’s overall performance while minimizing the system’s total cost of operation. For the purpose, the next-generation datacenters are deploying newly-designed fast and smart networking solutions to orchestrate various computer devices in the most cost-effective way. In this talk, I will first introduce the key challenges in developing the next-generation networking systems for cost-effective AI processing, and recent advances in that direction. Next, I will present how the state-of-the-art solutions from MangoBoost can achieve such design goals successfully. | ||||||||||||||||||
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