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UID:submissions.supercomputing.org_SC23_sess248_exforum122@linklings.com
SUMMARY:The Cost of Flexibility and Security in Cloud-Based HPC – A Case S
 tudy Running EDA Workloads with Confidential Computing Technology
DESCRIPTION:Mengmei Ye and Derren Dunn (IBM TJ Watson Research Center)\n\n
 Design of modern very large scale integrated circuits (VLSI) using electro
 nic design automation (EDA) is an increasingly compute intensive and compl
 ex endeavor. Because of typical product cycles in chip design, EDA is an e
 xcellent candidate for offloading bursts of computations to cloud-based re
 sources when close to design deadlines, to reduce infrastructure cost and 
 improve flexibility by offering virtually unlimited computational power on
 -demand. However, running EDA workloads poses significant security risks, 
 due to the designers’ intellectual property (IP) and high-value foundry pr
 ocess design kits (PDKs). The cost of a leaked proprietary design is measu
 red in millions of dollars, loss of competitiveness and brand damage. To g
 uarantee security of these highly valuable assets, all data and computatio
 ns in the EDA workloads must be secured. Traditionally, encryption has bee
 n an effective solution to protect data at rest and in motion; however, da
 ta in use has so far seen less secure solutions based mostly on virtualiza
 tion. Emerging confidential computing techniques can improve this aspect b
 y providing truly isolated and encrypted environments for the computations
 . However, as of today, there is no comprehensive study on the challenges 
 of running HPC workloads in confidential enclaves, and on how to deploy co
 nfidential computing in the public cloud. This talk focuses on EDA workloa
 ds as a proxy to generic HPC workloads that need thousands of cores, high-
 bandwidth network communication and shared storage. We present our experie
 nce at running cloud-native EDA workloads in confidential VMs through the 
 use of Confidential Containers, that allows a zero-effort conversion of cl
 oud-native workloads. We will briefly discuss existing and novel mechanism
 s to integrate the data-in-use protection of Confidential Containers with 
 secure private/shared storage and network. Then, we will focus on measurin
 g and characterizing the performance overhead of protecting data in every 
 stage of the computation.\n\nTag: Architecture and Networks, Cloud Computi
 ng\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\nS
 ession Chair: Jane Herriman (Lawrence Livermore National Laboratory (LLNL)
 )\n\n
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