HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
Συγγραφείς: Fink, Zane, Parasyris, Konstantinos, Rathi, Praneet, Georgakoudis, Giorgis, Menon, Harshitha, Bremer, Peer-Timo
Πηγή: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis SC High Performance Computing, Networking, Storage and Analysis, SC24: International Conference for. :1-16 Nov, 2024
Relation: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798350352917
DOI:10.1109/SC41406.2024.00078