7 citations · 16 across the 4 of their papers we have counts for
4 papers
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
Drew Penney, Bin Li, Lizhong Chen +6
Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of…
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications
Yifan Yuan, Jinghan Huang, Yan Sun +7
Responding to the "datacenter tax" and "killer microseconds" problems for datacenter applications, diverse solutions including Smart NIC-based ones have been proposed. Nonetheless,…
PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications
Drew Penney, Bin Li, Jaroslaw Sydir +5
A growing number of service providers are exploring methods to improve server utilization and reduce power consumption by co-scheduling high-priority latency-critical workloads wit…
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More
Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao +4
Deep learning implementations on CPUs (Central Processing Units) are gaining more traction. Enhanced AI capabilities on commodity x86 architectures are commercially appealing due t…