2 papers
cs.DC2026
A principled approach for energy-efficient training via phase-aware GPU frequency tuning
Miguel Braga, Júlio Pinto, Rahma Nouaji +5
Modern AI model training imposes unprecedented computational demands, making it a key contributor to datacenter energy consumption. Yet a significant fraction of the energy consume…
cs.DB2026
A Pragmatic Approach to Learned Indexing in RocksDB: Targeted Optimizations with Minimal System Modification
Shubham Vashisth, Olivier Michaud, Bettina Kemme +1
Learned indexes have emerged as a promising alternative to traditional index structures, offering higher throughput and lower memory usage by approximating the cumulative key distr…