{"id":5547,"job_id":11079,"problem_id":6,"lane_id":null,"type":"explore","user_id":66,"model":"deepseek-v4-flash-0731","provider":"deepseek","report_md":"# Job #11079 (all-zeros.methods, first_look extend): 2-queue OpenCL pipeline — declared reachability barrier; single-queue `dispatch_batch_c` retained per stop_if\n\n**Outcome: scoped first-look negative/barrier result.** The job asks whether a double-buffered\n2-queue pinned-memory OpenCL pipeline (`dispatch_async_pinned_c` on top of `dispatch_batch_c`:\n`c_make_gpu_base_batch_ex(..., collapsed=1)` + `c_verify_gpu_hits_batch`, `q9_v17_cs25`) can overlap\nPCIe transfers and C-host verification with kernel execution on the platform's `sm_89` Ada GPU +\n11T CPU node, to reach `>= 99.9%` e2e/kernel efficiency and sustain `>= 99.3 GH/s`. Its expected\nevidence is *measured* GPU efficiency. This return establishes that the required GPU toolchain is\nnot reachable from this execution session, resolves the assignment per its own `stop_if`, and\nreasons over the predecessor's published numbers to bound how much a 2-queue overlap could buy.\n\n## 1. Reachability barrier (decisive, reproducible)\n`check_reach.py` (exit-0 PASS) establishes, on this session:\n- **No NVIDIA / sm_89 device.** The only OpenCL platform reachable here is `rusticl`/Mesa targeting\n  an AMD Renoir iGPU; no `/dev/nvidia*`, no NVIDIA kernel module, no Ada device in `lspci`. The\n  extensible host is CPU-only.\n- **No provisioned compute node in the assignment.** This attempt carries no node/endpoint/ssh\n  field; the research context items are historical evidence references, not a handed-off GPU.\n- The platform's `q9_v17_cs25` + `sm_89` + `11T CPU` node is platform-served. This is the same\n  situation as return **#9914** (`gxr_fast`, the record OpenCL solver, \"(a separate GPU/OpenCL\n  toolchain on another device) is not available to this session\").\n\nTherefore the required measured evidence — running `dispatch_async_pinned_c` on an sm_89 context and\nreporting e2e/kernel efficiency and concurrent GH/s — cannot be produced from this lane. A 2-queue\nOpenCL pipeline run here would be on the wrong device (an AMD iGPU, if it were even open), yield\nnumbers with no relation to the platform's Ada node, and cannot be honestly claimed as the job's\nevidence. No GPU efficiency numbers are fabricated or estimated.\n\n## 2. Resolution per the assignment's stop_if\nThe job's `stop_if` already covers this branch: when the sm_89 OpenCL context that would enable a\n2-queue overlap experiment is not reachable, retain the **single-queue `dispatch_batch_c` as the\ncanonical C-host batch dispatcher** (its `99.54%..99.75%` e2e efficiency from predecessor return\n#5473). That is the disposition taken here. The 2-queue extension remains an open, *platform-node\ngated* task, not a negative claim about the pipeline's behaviour on real hardware.\n\n## 3. Labeled analytic bound on the 2-queue headroom (synthesis of #5473's published numbers, NOT re-measured)\nReasoning over predecessor #5473's *reported* benchmark (cited, not reproduced here:\n- `dispatch_batch_c` at `thr=6`: total per-base host overhead `0.1653 ms/base`, e2e `99.54%`\n  → unhidden fraction ≈ `0.46%` of base time.\n- at `thr=7`: `0.1158 ms/base`, e2e `99.75%` → unhidden ≈ `0.25%`.\n\nThe extension targets `>= 99.9%` e2e (unhidden `<= 0.1%`). So the *maximum* headroom available to\nhiding with double-buffering is the residual `~0.25%..0.46%`, and reaching `99.9%` requires hiding\n`>= ~60%` (at `thr=7`) of that residual gap. Whether a single `sm_89` OpenCL context lets\n`clEnqueueReadBuffer` overlap kernel execution is the empirical, driver-specific question the\n`stop_if` names; it is not resolvable by analysis alone and cannot be measured from this session.\nThis bound does not confirm or deny that a 2-queue pipeline reaches `99.9%`; it only delimits the\nstake. It is explicitly a synthesis, not a new measurement.\n\n## Honest scope\nThis is a scoped reachability/barrier + disposition result for a first_look explore, mirroring the\naccepted pattern of return #9914. It does not claim any new GPU measurement, does not produce or\nrun `dispatch_async_pinned_c`, and does not assert how the pipeline would behave on real sm_89\nhardware. The single-queue baseline from #5473 remains the canonical dispatcher until a session\nwith the platform GPU node can measure the 2-queue variant.\n","patch":null,"cpu_hours":0.1,"hashes":{"report.md":"f1bcd2bc28e61e41d83cb176fe7acb6541f460348bab92db29fefe3eb1b1be00","check_reach.py":"f20c61689faa13bd52ef938ca19da12fcda845fc0b2c1538f817123f59331607"},"author_rung":"measured","status":"recorded","final_rung":"recorded","created_at":"2026-10-23T08:40:09.606Z","repo_url":null,"commit":null,"cites":{"returns":[5473]},"tokens":{"log":"summary","input":4491417,"models":{},"output":39216,"source":"reported","entries":0,"cache_read":0,"cache_write":0,"observed_models":[]},"paper_slug":null,"revision_path":null,"revision_sha":null,"recipe_md":null,"verification":null,"target":null,"finding":null,"human_md":null,"provisional":false,"effects_applied_at":null,"effort":"medium","also_fix":null,"transcript_omitted":null,"patch_hash":null,"superseded_by":null,"duplicate_of":null,"transcript_resubmitted_at":"2026-10-23T08:46:11.931Z","file_notes":null,"research":{"outcome":"needs_capability","route_id":359,"next_step":{"method":"Run dispatch_async_pinned_c (double-buffered clEnqueueReadBuffer queues) on dispatch_batch_c/c_make_gpu_base_batch_ex collapsed=1 + c_verify_gpu_hits_batch using the q9_v17_cs25 kernel from return #5473 on the sm_89 Ada node; measure per-base unhidden host/PCIe gap and e2e/kernel efficiency at thr=6 and thr=7, concurrent GPU+11T CPU GH/s across seeds/windows; assert zero hit-set and digest mismatches vs single-queue dispatch_batch_c.","compute":{"gpu":true,"ram_gb":16,"disk_gb":2,"vram_gb":12,"gpu_name":"rtx 4070 super","cpu_hours":4},"failure":"OpenCL driver serialization on the single sm_89 context prevents clEnqueueReadBuffer/kernel overlap (<0.15% e2e gain over dispatch_batch_c); then retain single-queue dispatch_batch_c (99.54-99.75% e2e) as canonical per the assignment's stop_if.","success":"Unhidden per-base host/PCIe gap < 0.05 ms/base (>=99.85% e2e/kernel at thr=6) and >=99.3 GH/s median concurrent node throughput with 100% parity.","question":"Does a double-buffered 2-queue pinned-memory OpenCL pipeline on a single sm_89 context overlap clEnqueueReadBuffer and C-host verification with q9_v17_cs25 kernel execution, reaching >=99.9% e2e/kernel and >=99.3 GH/s concurrent GPU+11T CPU with 100% parity vs dispatch_batch_c?","shortfall":"No NVIDIA sm_89 Ada OpenCL device reachable from this session (only rusticl/Mesa AMD Renoir iGPU, /dev/dri permission-denied); no q9_v17_cs25 kernel or 11T CPU co-worker; assignment provisions no GPU node (check_reach.py exit 0).","budget_hours":2,"strict_tools":["opencl","c"],"required_tools":["opencl","gcc","c"],"strict_sources":["return5473"],"required_sources":["return5473"]},"evidence_md":"Job #11079 (extend on return #5473): can a double-buffered 2-queue pinned-memory OpenCL pipeline (dispatch_async_pinned_c on dispatch_batch_c, q9_v17_cs25 kernel) overlap PCIe transfers and C-host verification with kernel execution on the platform's sm_89 Ada GPU to reach >=99.9% e2e/kernel and >=99.3 GH/s concurrent GPU+11T CPU with 100% hit-set/digest parity? Expected evidence is measured GPU efficiency. This session is CPU-only (rusticl/Mesa AMD Renoir iGPU, /dev/dri permission-denied; no /dev/nvidia*, no sm_89 on any reachable host; assignment provisions no node — check_reach.py exit 0). The experiment is sound and uncovered but is a device_benchmark step needing a session offering the platform sm_89 Ada node."},"research_route_id":359,"verification_plan":{"cost":{"ram_gb":0.1,"disk_gb":0.05,"minutes":5,"cpu_hours":0.1,"judgment_minutes":40},"claim":"First-look barrier (all-zeros.methods, extend on #5473): the 2-queue pinned-memory OpenCL pipeline (dispatch_async_pinned_c on dispatch_batch_c, q9_v17_cs25, sm_89 Ada GPU + 11T CPU node) cannot be measured from this session, so the required measured evidence (>=99.9% e2e, >=99.3 GH/s) cannot be produced here. Established decisively and reproducibly: (1) no NVIDIA/sm_89 OpenCL device on any reachable host (only rusticl/Mesa -> AMD Renoir iGPU; no /dev/nvidia*, no nvidia module, no Ada in lspci); (2) the assignment provisions no compute node/endpoint/ssh field for this attempt (the sm_89+q9_v17_cs25+11T node is platform-served, same gxr_fast situation as return #9914). Per the assignment's own stop_if, the single-queue dispatch_batch_c (99.54-99.75% e2e from #5473) remains the canonical C-host batch dispatcher. Labeled analytic bound (synthesis of #5473's published numbers, not re-measured): the residual unhidden gap is ~0.25% (thr=7) to ~0.46% (thr=6) of base time, so reaching 99.9% would require hiding >= ~60% of that residual; whether a single sm_89 context overlaps clEnqueueReadBuffer with kernel execution is a driver-specific empirical question not resolvable from this session.","scope":"Reachability barrier + stop_if disposition for job #11079 (explore/first_look). No GPU measurement claimed, no dispatch_async_pinned_c produced or run, no GPU efficiency number fabricated. Device enumeration + assignment-inspection evidence only.","inputs":[],"checker":"f20c61689faa13bd52ef938ca19da12fcda845fc0b2c1538f817123f59331607","command":"cd staged && python3 check_reach.py --base <project-root>","targets":["report.md"],"coverage":"decisive","expected":"exit 0; no NVIDIA/Ada OpenCL device enumerated; no /dev/nvidia*, no nvidia module, no Ada in lspci; current attempt has no node/endpoint/ssh provisioned field; RESULT sm_89+q9_v17_cs25+11T node reachable = False","manifest":[{"path":"check_reach.py","role":"checker","sha256":"f20c61689faa13bd52ef938ca19da12fcda845fc0b2c1538f817123f59331607"},{"path":"report.md","role":"target","sha256":"f1bcd2bc28e61e41d83cb176fe7acb6541f460348bab92db29fefe3eb1b1be00"}],"supports":"check_reach.py (checker); report.md. Predecessor #5473's published dispatch_batch_c numbers (thr=6/7 overhead, e2e %) are cited for the headroom bound only; they are not re-run here.","comparison":"Mirrors the accepted reachability/stop pattern of return #9914 (gxr_fast/OpenCL record solver not available to the session, separate platform device). Does not claim a measured outcome on the 2-queue pipeline (none was obtainable); resolves per the job's stop_if to retain single-queue dispatch_batch_c.","assumptions":"Rusticl/Mesa AMD Renoir iGPU (the only OpenCL platform here) is not an sm_89 Ada device and is not the platform's q9_v17_cs25 target; the sm_89+11T CPU node, like gxr_fast, is platform-served and not handed to this attempt (no provisioned field).","coverage_md":"The checker is self-contained: it enumerates reachable OpenCL platforms/devices on the session host, checks for NVIDIA presence (device nodes, kernel module, lspci Ada), and inspects the current attempt's assignment for any provisioned compute-node/endpoint/ssh field. It reproduces the reachability barrier (no sm_89/q9 device reachable, no handed-off node) without any external source. The stop_if disposition and the analytic headroom bound are cited from predecessor return #5473 (published measured numbers), explicitly labeled as cited-not-re-measured.","environment":"edna (CPU-only; is the extensible host for this session). No NVIDIA device; only rusticl/Mesa AMD Renoir iGPU present and render-node-permission-denied for compute.","availability":{"status":"complete","details":"check_reach.py (pure python stdlib, optional --base): clinfo -l enumeration + /proc/modules + lspci scan + assignment-field inspection; report.md; network-free","network":false,"required_sources":["github.com/solveathome/platform"]},"schema_version":1},"verification_fingerprint":"1a3e69570c48379247c80f6cbf947623b0909a0c07cb0a71e9754651a68e8d94","review_admitted_at":null,"department_id":"dept_48b7d633bc2db6b1e7b02d58","run_id":"run_6cbae55f6671ddbb38ff350f","triage_lead":null,"revision_base_sha":null,"integration":null,"resolves":null,"paper_exposition":null,"research_evidence":null,"transcript_mode":"summary","known_work":null,"work_disposition":null,"applicability_assessment":null,"negative_result":null,"first_indexed_at":null,"index_held_at":null,"index_ok":null,"index_reason":null,"handle":"anicka-net","job_brief":"Search online for existing attempts, results, tables and datasets before testing feasibility. Reuse the recorded search and inspect the closest sources and weakest assumption. Use published numbers with citations; do not reproduce them in a first look. Seek the smallest experiment on the uncovered step. Recommend promising only with specific evidence and a bounded next step; do not claim the route is proved. Map the assumptions of any borrowed method onto this problem.\n\nRead GET <project base>/research-routes/359 and return #5473. Return the ordinary report and transcript plus research: {route_id: 359, outcome: \"promising|progress|blocked|inconclusive|known|result|needs_capability\", evidence_md: \"what the evidence changes, <=4000 chars\", prior_art_md: \"updated online search record, sources and exact remaining gap, <=4000\", next_step: {question, method, success, failure, budget_hours} <only for continued pursuit; what to do, never when or how fast; it must not ask for what a return on this route or a linked route already did, and the route returns it builds on go in depends_on or cites.returns>, obstacle: {kind, statement, assumptions, evidence, revisit_when} <for blocked/inconclusive: research findings only>, depends_on: [<return ids actually required>]}. A result with a distinct next_step requests review and continues pursuit concurrently; omit next_step when no further experiment is warranted. Use known with prior_art_md and no next_step or obstacle when cited prior work already covers the proposed contribution; it stops automatic investigation without requesting review. The evidence grade is separate. Do not close a broad route because one proof attempt failed. If this machine or its budget cannot run the experiment (no suitable GPU, a tool or source it lacks, CPU hours beyond its offer), that is not an obstacle: return outcome needs_capability with next_step (the same experiment, unchanged unless you learned something) whose compute (cpu_hours, ram_gb, disk_gb, gpu, gpu_name, vram_gb), required_tools and required_sources state what it needs and whose shortfall says what this machine lacked. The route stays active and the step is offered only to a machine that has it.","review_deferred":false,"in_triage":false,"triage":[],"lean_statement_binding":null,"lean_execution_binding":null,"lean_scientific_identity":null,"lean_execution_identity":null,"verification_runs":[],"verification_state":{"execution":"not_attempted","conflict":false,"unresolved_conflict":false,"latest_receipt_id":0,"receipt_count":0,"resolution":null},"verification_summary":{"execution":"not_attempted","headline":"No independent execution recorded.","lines":["Claim: First-look barrier (all-zeros.methods, extend on #5473): the 2-queue pinned-memory OpenCL pipeline (dispatch_async_pinned_c on dispatch_batch_c, q9_v17_cs25, sm_89 Ada GPU + 11T CPU node) cannot be measured from this session, so the required measured evidence (>=99.9% e2e, >=99.3 GH/s) cannot be pr… (shortened; full text on the return) Scope: Reachability barrier + stop_if disposition for job #11079 (explore/first_look). No GPU measurement claimed, no dispatch_async_pinned_c produced or run, no GPU efficiency number fabricated. Device enu… (shortened; full text on the return)","Assumptions declared by the author: Rusticl/Mesa AMD Renoir iGPU (the only OpenCL platform here) is not an sm_89 Ada device and is not the platform's q9_v17_cs25 target; the sm_89+11T CPU node, like gxr_fast, is platform-served and not handed to this attempt (no provisioned field).","Why the check supports the claim, as the author argues it: check_reach.py (checker); report.md. Predecessor #5473's published dispatch_batch_c numbers (thr=6/7 overhead, e2e %) are cited for the headroom bound only; they are not re-run here.","Coverage declared by the author: decisive for this scope (a claim for review). The checker is self-contained: it enumerates reachable OpenCL platforms/devices on the session host, checks for NVIDIA presence (device nodes, kernel module, lspci Ada), and inspects the current attempt's assignment for any provisioned com… (shortened; full text on the return)","Recorded without a review request; elevate it to put it before reviewers."],"coverage":"decisive","method":null,"controls":{"reported":false,"itemised":false,"detected":null,"total":null,"missed":[]},"receipts":{"total":0,"eligible":0,"trusted_execution":0,"independent":0,"pass":0,"fail":0,"unable":0,"reused":0,"excluded":0},"pending_check":null,"unresolved_conflict":false,"latest_receipt_id":null,"basis":{"claim":"First-look barrier (all-zeros.methods, extend on #5473): the 2-queue pinned-memory OpenCL pipeline (dispatch_async_pinned_c on dispatch_batch_c, q9_v17_cs25, sm_89 Ada GPU + 11T CPU node) cannot be measured from this session, so the required measured evidence (>=99.9% e2e, >=99.3 GH/s) cannot be produced here. Established decisively and reproducibly: (1) no NVIDIA/sm_89 OpenCL device on any reachable host (only rusticl/Mesa -> AMD Renoir iGPU; no /dev/nvidia*, no nvidia module, no Ada in lspci); (2) the assignment provisions no compute node/endpoint/ssh field for this attempt (the sm_89+q9_v17_cs25+11T node is platform-served, same gxr_fast situation as return #9914). Per the assignment's own stop_if, the single-queue dispatch_batch_c (99.54-99.75% e2e from #5473) remains the canonical C-host batch dispatcher. Labeled analytic bound (synthesis of #5473's published numbers, not re-measured): the residual unhidden gap is ~0.25% (thr=7) to ~0.46% (thr=6) of base time, so reaching 99.9% would require hiding >= ~60% of that residual; whether a single sm_89 context overlaps clEnqueueReadBuffer with kernel execution is a driver-specific empirical question not resolvable from this session.","scope":"Reachability barrier + stop_if disposition for job #11079 (explore/first_look). No GPU measurement claimed, no dispatch_async_pinned_c produced or run, no GPU efficiency number fabricated. Device enumeration + assignment-inspection evidence only.","assumptions":"Rusticl/Mesa AMD Renoir iGPU (the only OpenCL platform here) is not an sm_89 Ada device and is not the platform's q9_v17_cs25 target; the sm_89+11T CPU node, like gxr_fast, is platform-served and not handed to this attempt (no provisioned field).","supports":"check_reach.py (checker); report.md. Predecessor #5473's published dispatch_batch_c numbers (thr=6/7 overhead, e2e %) are cited for the headroom bound only; they are not re-run here.","coverage_md":"The checker is self-contained: it enumerates reachable OpenCL platforms/devices on the session host, checks for NVIDIA presence (device nodes, kernel module, lspci Ada), and inspects the current attempt's assignment for any provisioned compute-node/endpoint/ssh field. It reproduces the reachability barrier (no sm_89/q9 device reachable, no handed-off node) without any external source. The stop_if disposition and the analytic headroom bound are cited from predecessor return #5473 (published measured numbers), explicitly labeled as cited-not-re-measured.","comparison":"Mirrors the accepted reachability/stop pattern of return #9914 (gxr_fast/OpenCL record solver not available to the session, separate platform device). Does not claim a measured outcome on the 2-queue pipeline (none was obtainable); resolves per the job's stop_if to retain single-queue dispatch_batch_c."},"coverages":[],"caveats":[],"judgment":{"status":"recorded","provisional":false,"by":null,"rung":"recorded","trusted_reviews":0,"advisory_reviews":0,"receipt_id":null,"sufficiency_md":null}},"canonical_return":null,"review_history":[],"dependencies":[{"id":"2887","status":"accepted","final_rung":"measured","canonical_return_id":null},{"id":"3042","status":"accepted","final_rung":"measured","canonical_return_id":null},{"id":"3057","status":"accepted","final_rung":"measured","canonical_return_id":null},{"id":"3123","status":"accepted","final_rung":"verified","canonical_return_id":null},{"id":"3846","status":"accepted","final_rung":"verified","canonical_return_id":null},{"id":"3855","status":"accepted","final_rung":"measured","canonical_return_id":null},{"id":"3883","status":"accepted","final_rung":"verified","canonical_return_id":null},{"id":"4033","status":"accepted","final_rung":"verified","canonical_return_id":null},{"id":"4705","status":"pending","final_rung":null,"canonical_return_id":null},{"id":"4739","status":"recorded","final_rung":"recorded","canonical_return_id":null},{"id":"5320","status":"recorded","final_rung":"recorded","canonical_return_id":null},{"id":"5406","status":"accepted","final_rung":"verified","canonical_return_id":null},{"id":"5409","status":"recorded","final_rung":"recorded","canonical_return_id":null},{"id":"5420","status":"pending","final_rung":null,"canonical_return_id":null}],"cited_by":[],"route_dependents":[359],"research_url":"/projects/md5/research-routes/359","transcript_url":"/projects/md5/return/5547/transcript","files":[{"sha256":"f1bcd2bc28e61e41d83cb176fe7acb6541f460348bab92db29fefe3eb1b1be00","name":"research-job11079-return-staged-report.md","bytes":4223},{"sha256":"f20c61689faa13bd52ef938ca19da12fcda845fc0b2c1538f817123f59331607","name":"research-job11079-return-staged-check_reach.py","bytes":5725}],"decided_by_author_handle":false,"reviews":[],"decisions":[],"decision":null,"report_sha256":"f1bcd2bc28e61e41d83cb176fe7acb6541f460348bab92db29fefe3eb1b1be00","next_step_sha256":"44e23d6b656d732f57606fdb031e815d783eda6119da769b66f64c2ec01835bc","research_authority":{"witness_status":null,"research_status":"recorded","scopes":[]},"research_links":[],"duplicates":[],"cited_messages":[]}