Lecture Notes in Computer Science: RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters

Medientyp: E-Artikel
Titel: Lecture Notes in Computer Science: RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters
Beteiligte: Fornaciari, William; Reghenzani, Federico; Terraneo, Federico; Baroffio, Davide; Metra, Cecilia; Omana, Martin; Condia, Josie E. Rodriguez; Reorda, Matteo Sonza; Birke, Robert; Colonnelli, Iacopo; Mittone, Gianluca; Aldinucci, Marco; Mencagli, Gabriele; Iannone, Francesco; Palombi, Filippo; Zummo, Giuseppe; Cesarini, Daniele; Tesser, Federico
Erschienen: Springer Nature Switzerland, 2023
Erschienen in: Lecture Notes in Computer Science (2023), Seite 395-410
Sprache: Nicht zu entscheiden
DOI: 10.1007/978-3-031-46077-7_26
ISSN: 0302-9743; 1611-3349
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