SRDatalog implements worst-case optimal joins on GPUs for Datalog using columnar storage and skew-mitigation techniques, achieving 21-47x speedups on program-analysis workloads while avoiding asymptotic blowups from binary joins.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
baseline 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
baseline 1polarities
baseline 1representative citing papers
Simulation study shows cold TLB misses in reverse address translation dominate latency for small collectives in multi-GPU pods, causing up to 1.4x degradation, while larger ones see diminishing returns.
GitFarm offers Git operations as a remote stateful service using ephemeral sandboxes and pre-warmed repositories to eliminate local clones and cold starts for large-scale monorepos.
citing papers explorer
-
Scaling Worst-Case Optimal Datalog to GPUs
SRDatalog implements worst-case optimal joins on GPUs for Datalog using columnar storage and skew-mitigation techniques, achieving 21-47x speedups on program-analysis workloads while avoiding asymptotic blowups from binary joins.
-
Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods
Simulation study shows cold TLB misses in reverse address translation dominate latency for small collectives in multi-GPU pods, causing up to 1.4x degradation, while larger ones see diminishing returns.
-
GitFarm: Git as a Service for Large-Scale Monorepos
GitFarm offers Git operations as a remote stateful service using ephemeral sandboxes and pre-warmed repositories to eliminate local clones and cold starts for large-scale monorepos.