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Nightly Benchmarks Nightly Benchmarks #10: Scheduled
7m 18s main
main
7m 18s
Cut fixed per-request costs out of the reshard control plane Presubmit Benchmarks #423: Pull request #816 synchronize by copybara-service Bot
7m 8s test_973205820
test_973205820
7m 8s
Cut fixed per-request costs out of the reshard control plane Google GitHub Admin: Actions Workflow Security Scan #4090: Pull request #816 synchronize by copybara-service Bot
48s test_973205820
test_973205820
48s
Cut fixed per-request costs out of the reshard control plane GitHub Actions Scan #4106: Pull request #816 synchronize by copybara-service Bot
10s
10s
Cut fixed per-request costs out of the reshard control plane Presubmit Benchmarks #422: Pull request #816 opened by copybara-service Bot
7m 42s test_973205820
test_973205820
7m 42s
Cut fixed per-request costs out of the reshard control plane Google GitHub Admin: Actions Workflow Security Scan #4089: Pull request #816 opened by copybara-service Bot
37s test_973205820
test_973205820
37s
Cut fixed per-request costs out of the reshard control plane GitHub Actions Scan #4105: Pull request #816 opened by copybara-service Bot
10s
10s
Multi-worker TPU training setups require aggregated host-level metric… Postsubmit Benchmarks #70: Commit 9c7311b pushed by copybara-service Bot
7m 16s main
main
7m 16s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. Presubmit Benchmarks #421: Pull request #777 synchronize by copybara-service Bot
5m 52s test_970337171
test_970337171
5m 52s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. Google GitHub Admin: Actions Workflow Security Scan #4088: Pull request #777 synchronize by copybara-service Bot
41s test_970337171
test_970337171
41s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. GitHub Actions Scan #4104: Pull request #777 synchronize by copybara-service Bot
11s
11s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. Presubmit Benchmarks #420: Pull request #777 synchronize by copybara-service Bot
5m 41s test_970337171
test_970337171
5m 41s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. Google GitHub Admin: Actions Workflow Security Scan #4087: Pull request #777 synchronize by copybara-service Bot
36s test_970337171
test_970337171
36s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. GitHub Actions Scan #4103: Pull request #777 synchronize by copybara-service Bot
9s
9s
Implement ShmCollector to scan, validate, and aggregate telemetry metrics across all active worker memory-mapped files in /dev/shm. Presubmit Benchmarks #419: Pull request #815 opened by copybara-service Bot
7m 11s test_970337173
test_970337173
7m 11s
Implement ShmCollector to scan, validate, and aggregate telemetry metrics across all active worker memory-mapped files in /dev/shm. GitHub Actions Scan #4102: Pull request #815 opened by copybara-service Bot
11s
11s
Implement ShmCollector to scan, validate, and aggregate telemetry metrics across all active worker memory-mapped files in /dev/shm. Google GitHub Admin: Actions Workflow Security Scan #4086: Pull request #815 opened by copybara-service Bot
43s test_970337173
test_970337173
43s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. Presubmit Benchmarks #418: Pull request #777 synchronize by copybara-service Bot
7m 36s test_970337171
test_970337171
7m 36s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. Google GitHub Admin: Actions Workflow Security Scan #4085: Pull request #777 synchronize by copybara-service Bot
51s test_970337171
test_970337171
51s
Multi-worker TPU training setups require aggregated host-level metrics across multiple isolated worker processes without inter-process lock contention or high CPU serialization overhead. GitHub Actions Scan #4101: Pull request #777 synchronize by copybara-service Bot
9s
9s
Optimized weights sync transport by multi-NUMA. Presubmit Benchmarks #417: Pull request #814 synchronize by copybara-service Bot
7m 13s test_973018330
test_973018330
7m 13s
Optimized weights sync transport by multi-NUMA. Google GitHub Admin: Actions Workflow Security Scan #4084: Pull request #814 synchronize by copybara-service Bot
41s test_973018330
test_973018330
41s
Optimized weights sync transport by multi-NUMA. GitHub Actions Scan #4100: Pull request #814 synchronize by copybara-service Bot
9s
9s
Optimized weights sync transport by multi-NUMA. Presubmit Benchmarks #416: Pull request #814 synchronize by copybara-service Bot
7m 18s test_973018330
test_973018330
7m 18s
Optimized weights sync transport by multi-NUMA. Google GitHub Admin: Actions Workflow Security Scan #4083: Pull request #814 synchronize by copybara-service Bot
43s test_973018330
test_973018330
43s