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Track benchmarks over time in CI, starting with one lint #663: Pull request #306 opened by d33bs
40s d33bs:track-benchmarks-ci
d33bs:track-benchmarks-ci
40s
Document NanoGPT optimizations and benchmark evidence lint #662: Pull request #304 synchronize by cromwellian
Action required cromwellian:codex/nanogpt-performance-reports
cromwellian:codex/nanogpt-performance-reports
Action required
Keep complete SQL training steps and optimizer state on GPU lint #661: Pull request #305 synchronize by cromwellian
Action required cromwellian:codex/resident-sql-training
cromwellian:codex/resident-sql-training
Action required
Document NanoGPT optimizations and benchmark evidence lint #660: Pull request #304 synchronize by cromwellian
Action required cromwellian:codex/nanogpt-performance-reports
cromwellian:codex/nanogpt-performance-reports
Action required
Keep complete SQL training steps and optimizer state on GPU lint #659: Pull request #305 synchronize by cromwellian
Action required cromwellian:codex/resident-sql-training
cromwellian:codex/resident-sql-training
Action required
Keep complete SQL training steps and optimizer state on GPU lint #658: Pull request #305 opened by cromwellian
-1s cromwellian:codex/resident-sql-training
cromwellian:codex/resident-sql-training
-1s
Document NanoGPT optimizations and benchmark evidence lint #657: Pull request #304 opened by cromwellian
Action required cromwellian:codex/nanogpt-performance-reports
cromwellian:codex/nanogpt-performance-reports
Action required
Retain compact arrays across numerical SQL programs lint #656: Pull request #303 opened by cromwellian
Action required cromwellian:codex/compact-sql-execution
cromwellian:codex/compact-sql-execution
Action required
Share SQL stages and dispatch validated numerical kernels lint #655: Pull request #302 opened by cromwellian
Action required cromwellian:codex/shared-kernel-execution
cromwellian:codex/shared-kernel-execution
Action required
Reuse gradient plans and reduce Dataset registration overhead lint #654: Pull request #301 opened by cromwellian
Action required cromwellian:codex/training-plan-reuse
cromwellian:codex/training-plan-reuse
Action required
Demo 4: Samudra 2 in SQL, checked against Samudra's PyTorch (draft) lint #653: Pull request #300 synchronize by alxmrs
37s samudra-demo
samudra-demo
37s
Demo 4: Samudra 2 in SQL, checked against Samudra's PyTorch (draft) lint #652: Pull request #300 opened by alxmrs
34s samudra-demo
samudra-demo
34s
Add an ml extra for SQL gradients with ddx, and two ML demos (#269) lint #651: Commit b05eac3 pushed by alxmrs
35s main
main
35s
Add an ml extra for gradients in SQL, and two ML demos lint #650: Pull request #269 synchronize by alxmrs
33s ml-demos
ml-demos
33s
Add an ml extra for gradients in SQL, and two ML demos lint #649: Pull request #269 synchronize by alxmrs
29s ml-demos
ml-demos
29s
Add an ml extra for gradients in SQL, and two ML demos lint #648: Pull request #269 synchronize by alxmrs
36s ml-demos
ml-demos
36s
Add an ml extra for gradients in SQL, and two ML demos lint #647: Pull request #269 synchronize by alxmrs
32s ml-demos
ml-demos
32s
Add an ml extra for gradients in SQL, and two ML demos lint #646: Pull request #269 synchronize by alxmrs
18m 34s ml-demos
ml-demos
18m 34s
Add an ml extra for gradients in SQL, and two ML demos lint #645: Pull request #269 synchronize by alxmrs
4m 26s ml-demos
ml-demos
4m 26s
prepare: run each CTE or view a query reads more than once just once lint #644: Pull request #290 synchronize by alxmrs
2m 16s shared-ctes
shared-ctes
2m 16s
Plan a query once and run it many times: Context.prepare (#287) lint #643: Commit 94b8a5d pushed by alxmrs
36s main
main
36s
Plan a query once and run it many times: Context.prepare lint #642: Pull request #287 synchronize by alxmrs
7m 31s prepared-queries
prepared-queries
7m 31s
Add an ml extra for gradients in SQL, and two ML demos lint #641: Pull request #269 synchronize by alxmrs
42s ml-demos
ml-demos
42s
Plan a query once and run it many times: Context.prepare lint #640: Pull request #287 synchronize by alxmrs
55s prepared-queries
prepared-queries
55s
Plan a query once and run it many times: Context.prepare lint #639: Pull request #287 synchronize by alxmrs
33s prepared-queries
prepared-queries
33s