Focal Interest
Focal Interest

Throughput

  1. Layout optimization improved throughput and reduced staffing needs
    Digital twin simulation optimizes CNC machining layout, increasing throughput 23%, reducing travel time 31%, and cutting personnel needs 40% while enabling capacity for additional production.
  2. Replay-as-a-Service reduces tail latency in storage-disaggregated databases
    Study presents Replay-as-a-Service technique to reduce tail latency in storage-disaggregated OLTP databases by decoupling log replay from storage engine, achieving 40% latency reduction.
  3. HS-GC-IMS is described as a greener, efficient cocoa analysis approach
    Hydrogen-based GC-IMS combined with machine learning enables rapid, sustainable classification of cocoa by geographic origin without sample preparation.
  4. NeuroGator reduces BCI data throughput while maintaining accuracy
    NeuroGator gates brain signal processing in implantable devices, reducing power consumption and data throughput by 82% while maintaining classification accuracy for next-generation BCIs.
  5. Liger+ dynamically balances latency and throughput in large model inference
    Distributed inference system using interleaved parallelism to dynamically balance latency-throughput trade-offs via task-aware batch management and strategic kernel scheduling across multiple GPUs.