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. Low-power gating system reduces data throughput in implantable BCI
    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.