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2 Results for: Book/Issue: SYSTOR '24: Proceedings of the 17th ACM International Systems and Storage Conference
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- research-articleSeptember 2024
RecTS: A Temporal-Aware Memory System Optimization for Training Deep Learning Recommendation Models
SYSTOR '24: Proceedings of the 17th ACM International Systems and Storage ConferencePages 104–117https://doi.org/10.1145/3688351.3689155Deep learning recommendation models (DLRM) are crucial for various services, which makes DLRM training a critical workload for data centers. To meet the memory demands of DLRM workloads, the adoption of SSD has become necessary for large-scale models. ...
- research-articleSeptember 2024
Offloading Datacenter Jobs to RISC-V Hardware for Improved Performance and Power Efficiency
SYSTOR '24: Proceedings of the 17th ACM International Systems and Storage ConferencePages 39–52https://doi.org/10.1145/3688351.3689152The end of Moore's Law has brought significant changes in the architecture of servers used in data centers, increasingly incorporating new ISAs beyond x86-64 as well as diverse accelerators. Further, single-board computers have become increasingly ...
