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UID:submissions.supercomputing.org_SC24_sess533_post236@linklings.com
SUMMARY:MIGnificient: Fast, Isolated, and GPU-Enabled Serverless Functions
DESCRIPTION:Marcin Copik and Alexandru Calotoiu (ETH Zürich); Pengy Zhou (
 University of Toronto, Canada); Lukas Tobler (AYES); and Torsten Hoefler (
 ETH Zürich)\n\nEmerging applications in machine learning and personalized 
 medicine introduce new challenges and requirements for secure computing. W
 hile the exclusive allocation of resources to a single tenant provides nec
 essary isolation, it also comes at the cost of hardware underutilization. 
 While solutions like containers allow for secure sharing of CPUs, new tech
 niques are needed to efficiently co-locate applications on GPUs. We propos
 e a new approach that merges the elasticity of the Function-as-a-Service (
 FaaS) with the physical GPU partitioning of NVIDIA MIG. In MIGnificient, w
 e provide spatial isolation through concurrent execution on different devi
 ce partitions, preventing side-channel attacks and performance interferenc
 e. We employ local API remoting that controls kernel scheduling and memory
  transfers, enabling compute-communication overlap and improved resource m
 anagement in virtualized API. MIGnificient overcomes the limitations of st
 ate-of-the-art solutions that rely on slower network-based API remoting an
 d insecure NVIDIA MPS, creating a unifying model for optimized serverless 
 GPU functions.\n\nRegistration Category: Tech Program Reg Pass, Exhibits R
 eg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander University, E
 rlangen-Nuremberg; Erlangen National High Performance Computing Center); S
 ally Ellingson (University of Kentucky); and Alan Sussman (University of M
 aryland)\n\n
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