[None][chore] Support multiple job submission at the same time

tests/integration/defs/perf/disagg/README.md

@@ -132,6 +132,141 @@ poetry run pytest --disagg test_disagg.py -s -vv -m accuracy
 poetry run pytest --disagg test_disagg.py -s -vv -k "deepseek-r1-fp4_1k1k"
 ```
 
+## Batch Job Submission
+
+The framework supports automatic batch job submission to maximize parallelism in SLURM cluster environments. Instead of submitting jobs one-by-one, it groups test cases into batches and submits entire batches when needed.
+
+### Quick Start
+
+**Default batch size (5 jobs per batch):**
+```bash
+# Run all tests with default batching
+poetry run pytest --disagg test_disagg.py -s -vv
+
+# Run with test list
+poetry run pytest --disagg test_disagg.py -s -vv --disagg-test-list=./testlist/all.txt
+```
+
+**Custom batch size:**
+```bash
+# Set batch size via command line
+poetry run pytest --disagg test_disagg.py -s -vv --disagg-batch-size=10
+
+# Set batch size via environment variable
+export DISAGG_BATCH_SIZE=20
+poetry run pytest --disagg test_disagg.py -s -vv
+
+# Submit all jobs at once (unlimited batch)
+poetry run pytest --disagg test_disagg.py -s -vv --disagg-batch-size=0
+```
+
+### How Batch Submission Works
+
+```
+Pytest Collection Phase:
+  - Collects all test cases (e.g., 100 tests)
+  - BatchManager splits them into batches (e.g., 20 batches of 5)
+
+Pytest Execution Phase:
+  Test 0 runs:
+    -> Triggers submission of Batch 0 (jobs 0-4)
+    -> Waits for job 0 to complete
+
+  Test 1-4 run:
+    -> Batch 0 already submitted, directly wait for completion
+
+  Test 5 runs:
+    -> Triggers submission of Batch 1 (jobs 5-9)
+    -> Waits for job 5 to complete
+
+  ... and so on
+```
+
+### Key Benefits
+
+- **Parallel Execution**: All jobs in a batch run simultaneously on SLURM cluster
+- **Reduced Wait Time**: Total time ≈ MAX(job time) instead of SUM(job times)
+- **Automatic Management**: No need to manually split test lists
+- **Lazy Loading**: Only submits batches when needed
+
+### Configuration Options
+
+**Priority**: Command line option > Environment variable > Default (5)
+
+**Examples:**
+
+```bash
+# Small batch for quick testing
+poetry run pytest --disagg test_disagg.py -s -vv --disagg-batch-size=3 \
+  --disagg-test-list=./testlist/debug.txt
+
+# Large batch for production
+poetry run pytest --disagg test_disagg.py -s -vv --disagg-batch-size=50 \
+  --disagg-test-list=./testlist/all.txt
+
+# Submit all at once
+poetry run pytest --disagg test_disagg.py -s -vv --disagg-batch-size=0
+```
+
+### Timeout Configuration
+
+The default timeout for waiting for job completion is **10 hours (36000 seconds)**, which accounts for:
+- SLURM queue wait time
+- Job execution time
+- Buffer for delays
+
+### Performance Comparison
+
+**Before (Sequential Submission):**
+```
+Case 1: submit + wait (1.5h) = 1.5h
+Case 2: submit + wait (1.5h) = 1.5h
+Case 3: submit + wait (1.5h) = 1.5h
+...
+Total: 50 × 1.5h = 75 hours
+```
+
+**After (Batch Submission, batch_size=50):**
+```
+Batch 0 (50 jobs): submitted in parallel
+  Case 1: wait (1.5h)
+  Case 2-50: wait (0s, already done)
+
+Total: ~1.5 hours
+```
+
+**Speedup: 50x**
+
+### Troubleshooting
+
+**Check BatchManager initialization:**
+```
+======================================================================
+Batch Manager Initialized
+Batch size: 5 jobs per batch
+======================================================================
+
+Total test configs: 20
+Total batches: 4
+```
+
+**Monitor batch submission:**
+```
+======================================================================
+Submitting Batch 0
+Range: [0:5] (5 jobs)
+======================================================================
+
+  [  1/5] Job 1234 <- test_config_id_1
+  [  2/5] Job 1235 <- test_config_id_2
+  ...
+```
+
+**If jobs timeout frequently:**
+- Check SLURM queue status
+- Consider reducing batch size to avoid resource contention
+- Verify that timeout (36000s) is sufficient for your workload
+
 ## Test Naming Convention
 
 Tests are automatically named using the format:
@@ -193,6 +328,7 @@ Test results are saved to:
 - `GPU_TYPE`: Current GPU type (default: GB200)
 - `OUTPUT_PATH`: Directory for test results and logs
 - `WORK_DIR`: Working directory for benchmark execution
+- `DISAGG_BATCH_SIZE`: Default batch size for job submission (default: 5)
 - `DEBUG_MODE`: Enable debug mode (set to "1" to skip job submission)
 - `DEBUG_JOB_ID`: Job ID to use in debug mode
 
@@ -212,10 +348,11 @@ The framework consists of:
 
 1. **ConfigLoader**: Scans and loads YAML configurations
 2. **ConfigValidator**: Validates configuration correctness
-3. **JobManager**: Handles SLURM job submission and monitoring
-4. **LogParser**: Extracts metrics from benchmark logs
-5. **TestCaseTracker**: Tracks test execution timing
-6. **ResultSaver**: Saves results to CSV
+3. **BatchManager**: Manages batch job submission for parallel execution
+4. **JobManager**: Handles SLURM job submission and monitoring
+5. **LogParser**: Extracts metrics from benchmark logs
+6. **TestCaseTracker**: Tracks test execution timing
+7. **ResultSaver**: Saves results to CSV
 
 ## Benefits
 

tests/integration/defs/perf/disagg/conftest.py

@@ -1,9 +1,11 @@
 """Pytest configuration for disagg tests.
 
 Only collects tests in this directory when --disagg parameter is provided.
-Can share options like --disagg-test-list defined in this conftest.py.
+Provides batch job submission capability to improve parallelism.
 """
 
+import os
+
 import pytest
 from utils.logger import logger
 
@@ -23,6 +25,15 @@ def pytest_addoption(parser):
         help="Path to a file containing test IDs (one per line) to run. "
         "Example: pytest --disagg --disagg-test-list=testlist/testlist_gb200.txt",
     )
+    parser.addoption(
+        "--disagg-batch-size",
+        action="store",
+        type=int,
+        default=None,
+        help="Number of jobs to submit per batch. Default: from env DISAGG_BATCH_SIZE or 5. "
+        "Set to 0 for unlimited (submit all at once). "
+        "Example: pytest --disagg --disagg-batch-size=10",
+    )
 
 
 def pytest_collect_directory(path, parent):
@@ -45,7 +56,6 @@ def pytest_collect_directory(path, parent):
         return True
 
     # With --disagg parameter, proceed with normal collection
-    # Can subsequently use --disagg-test-list and other options from main conftest.py for filtering
     return None
 
 
@@ -88,7 +98,7 @@ def pytest_collection_modifyitems(config, items):
 
     for item in items:
         # item.nodeid is the full test identifier like:
-        # "test_disagg_simple.py::TestDisaggBenchmark::test_benchmark[deepseek-r1-fp4:1k1k:...]"
+        # "test_disagg.py::TestDisaggBenchmark::test_benchmark[deepseek-r1-fp4:1k1k:...]"
         if item.nodeid in wanted_tests:
             selected.append(item)
         else:
@@ -112,3 +122,180 @@ def pytest_collection_modifyitems(config, items):
         logger.warning(f"Please check that the test IDs in {test_list_file} are correct.")
 
     logger.info(f"{'=' * 70}\n")
+
+
+class BatchManager:
+    """Batch job submission manager for disagg tests.
+
+    Automatically splits test cases into batches and submits them on-demand
+    to maximize parallelism in SLURM cluster environments.
+
+    Key features:
+    - Lazy batch submission: only submits when needed
+    - Configurable batch size via CLI or environment variable
+    - Maintains job_id mapping for all submitted jobs
+    """
+
+    def __init__(self, batch_size=5):
+        """Initialize batch manager.
+
+        Args:
+            batch_size: Number of jobs per batch. None or 0 means unlimited (submit all at once).
+                       Default is 5 if not specified.
+        """
+        # Normalize batch_size: None, 0, or negative means unlimited
+        if batch_size is None or batch_size <= 0:
+            self.batch_size = None
+        else:
+            self.batch_size = batch_size
+
+        self.submitted_batches = set()  # Track which batch numbers have been submitted
+        self.job_mapping = {}  # Map test_id -> SLURM job_id
+        self.all_configs = []  # Ordered list of all test configs
+
+        logger.info(f"\n{'=' * 70}")
+        logger.info("Batch Manager Initialized")
+        if self.batch_size:
+            logger.info(f"Batch size: {self.batch_size} jobs per batch")
+        else:
+            logger.info("Batch size: unlimited (submit all at once)")
+        logger.info(f"{'=' * 70}\n")
+
+    def add_config(self, test_config):
+        """Add a test configuration to the manager.
+
+        Called during initialization to build the ordered list of configs.
+
+        Args:
+            test_config: TestConfig object to add
+        """
+        self.all_configs.append(test_config)
+
+    def get_job_id(self, test_config):
+        """Get SLURM job ID for a test config, submitting batch if needed.
+
+        This is the main entry point. It:
+        1. Determines which batch the test belongs to
+        2. Submits the entire batch if not already submitted
+        3. Returns the job_id for this specific test
+
+        Args:
+            test_config: TestConfig object to get job_id for
+
+        Returns:
+            str: SLURM job ID, or None if submission failed
+        """
+        # Find the index of this config in the ordered list
+        try:
+            idx = next(
+                i for i, c in enumerate(self.all_configs) if c.test_id == test_config.test_id
+            )
+        except StopIteration:
+            logger.error(f"Config not found in manager: {test_config.test_id}")
+            return None
+
+        # Calculate which batch this test belongs to
+        if self.batch_size:
+            batch_num = idx // self.batch_size
+        else:
+            batch_num = 0  # All tests in one batch
+
+        # Submit the batch if not already submitted
+        if batch_num not in self.submitted_batches:
+            self._submit_batch(batch_num)
+
+        # Return the cached job_id
+        return self.job_mapping.get(test_config.test_id)
+
+    def _submit_batch(self, batch_num):
+        """Submit all jobs in a specific batch.
+
+        Args:
+            batch_num: Batch number to submit (0-indexed)
+        """
+        from execution.executor import JobManager
+
+        # Calculate batch range
+        if self.batch_size:
+            start_idx = batch_num * self.batch_size
+            end_idx = min(start_idx + self.batch_size, len(self.all_configs))
+        else:
+            start_idx = 0
+            end_idx = len(self.all_configs)
+
+        batch_configs = self.all_configs[start_idx:end_idx]
+
+        logger.info(f"\n{'=' * 70}")
+        logger.info(f"Submitting Batch {batch_num}")
+        logger.info(f"Range: [{start_idx}:{end_idx}] ({len(batch_configs)} jobs)")
+        logger.info(f"{'=' * 70}\n")
+
+        # Submit all jobs in this batch
+        success_count = 0
+        for i, config in enumerate(batch_configs, 1):
+            try:
+                success, job_id = JobManager.submit_test_job(config)
+                if success and job_id:
+                    self.job_mapping[config.test_id] = job_id
+                    success_count += 1
+                    # Truncate test_id for display
+                    display_id = (
+                        config.test_id[:60] + "..." if len(config.test_id) > 60 else config.test_id
+                    )
+                    logger.success(f"  [{i:3d}/{len(batch_configs)}] Job {job_id} <- {display_id}")
+                else:
+                    self.job_mapping[config.test_id] = None
+                    logger.error(f"  [{i:3d}/{len(batch_configs)}] Failed: {config.test_id[:50]}")
+            except Exception as e:
+                self.job_mapping[config.test_id] = None
+                logger.error(f"  [{i:3d}/{len(batch_configs)}] Error: {e}")
+
+        # Mark batch as submitted
+        self.submitted_batches.add(batch_num)
+
+        logger.info(f"\n{'=' * 70}")
+        logger.success(
+            f"Batch {batch_num} Complete: {success_count}/{len(batch_configs)} succeeded"
+        )
+        logger.info(f"{'=' * 70}\n")
+
+
+@pytest.fixture(scope="session")
+def batch_manager(request):
+    """Provide batch manager fixture for test methods.
+
+    This session-scoped fixture creates and initializes the BatchManager
+    with all collected test configs.
+
+    Returns:
+        BatchManager: Initialized batch manager instance
+    """
+    # Get batch size from CLI option or environment variable
+    batch_size = request.config.getoption("--disagg-batch-size")
+    if batch_size is None:
+        env_batch_size = os.getenv("DISAGG_BATCH_SIZE")
+        if env_batch_size:
+            try:
+                batch_size = int(env_batch_size)
+            except ValueError:
+                logger.warning(f"Invalid DISAGG_BATCH_SIZE: {env_batch_size}, using default 5")
+                batch_size = 5
+        else:
+            batch_size = 5  # Default batch size
+
+    # Create batch manager
+    manager = BatchManager(batch_size=batch_size)
+
+    # Extract all test configs from collected items
+    for item in request.session.items:
+        if hasattr(item, "callspec") and "test_config" in item.callspec.params:
+            manager.add_config(item.callspec.params["test_config"])
+
+    # Log statistics
+    logger.info(f"Total test configs: {len(manager.all_configs)}")
+    if manager.batch_size:
+        total_batches = (len(manager.all_configs) + manager.batch_size - 1) // manager.batch_size
+        logger.info(f"Total batches: {total_batches}")
+    logger.info("")
+
+    return manager