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Anand Iyer
@anandpiyer
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Assistant Professor @GeorgiaTech @gatech_scs. Previously Researcher @MSFTResearch, CS PhD @UCBerkeley
Joined March 2012
Serving GNNs on large graphs is challenging due to the high communication, computation, and memory overheads. Our new work, Omega, shows how to solve this. Joint work with awesome collaborators @daehyeok_kim, @adityaakella and amazing students!
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@LambdaShi @TheOfficialACM @gtcomputing @gatech_scs Thanks for applying @LambdaShi. Wish you good luck with your applications!
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We are fast approaching the PhD application deadline this cycle (Dec 15 for @GeorgiaTech @gatech_scs, we're hiring so consider us if you're interested in systems!), good luck to all applicants!! #AcademicTwitter
It's PhD application season again. I'll be on the look out for motivated students. Located in the vibrant city of Atlanta, @GeorgiaTech @gatech_scs is a top 5 school with an awesome set of people. Apply by Dec 15 and mention my name!
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@mehdi190gym @GeorgiaTech @gatech_scs Of course, everyone is welcome to apply! Good luck with your applications!
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MoEs promise reduced parameter activation, but in practice invoke all experts during batched inference. With my awesome students @vima_gupta, Kartik Sinha & collaborator Ada Gavrilovska, we show how MoEs can fulfill their promise in a workload-agnostic way
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I'm really looking forward to meeting people at @TheOfficialACM #SOSP 2024. If you're around, come say hi!
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Our work on accelerating distributed GNN training leveraging a communication-efficient partition refinement scheme and a better caching strategy has been accepted at @TheOfficialACM #CoNEXT 2024!
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Our work on accelerating DNN inference on low-cost edges has been accepted to appear at Eurosys 25! Joint work with TanmoySen and HaiyingShen! @ACM @EuroSysConf #eurosys
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In an hour, @ShubhaSudipta will present our work on resource optimized ML inference by avoiding GPU interference at @usenix #osdi #osdi24. If you're around, please attend the talk and ask him about our work!
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Our work on avoiding GPU interference for achieving resource optimized ML inference has been accepted to appear at #osdi #osdi24! Joint work with awesome folks @ShubhaSudipta and HaiyingShen!
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