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Batch Processing with Multiple tasks in a task-graph #332

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merged 5 commits into from
Feb 8, 2024

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@jjfumero jjfumero commented Feb 8, 2024

Description

This fixes and adds support for batch processing when having a TaskGraph with multiple tasks.
Besides, it removes old/unreachable methods that are not needed anymore.

However, this PR still has the issue of incorrect results when the task-graph does not perform a copy-in.
I added two more unit-tests, one with copy in and the other without. It seems that without copy-in, the batch processing works (compiler and internals of the runtime), but the results are not correct.

For task-graphs with copy-in/out (which was the original intended use), multiple tasks in a taskgraph with batch processing now works.
We can go ahead this is partial fix, and add a new extension on top of this to process also for only outputs.

Problem description

The issue was that, when having multiple tasks in a task-graph, the TornadoVM interpreter was not invalidating the code cache (to force recompilation).

Backend/s tested

Mark the backends affected by this PR.

  • OpenCL
  • PTX
  • SPIRV

OS tested

Mark the OS where this PR is tested.

  • Linux
  • OSx
  • Windows

Did you check on FPGAs?

If it is applicable, check your changes on FPGAs.

  • Yes
  • No

How to test the new patch?

$ make
$ tornado-test -V --fast --debug --threadInfo --printKernel --printBytecode uk.ac.manchester.tornado.unittests.batches.TestBatches#testBatchNotEven
$ tornado-test -V --fast --debug --threadInfo --printKernel --printBytecode uk.ac.manchester.tornado.unittests.batches.TestBatches#testBatchNotEven2

@jjfumero jjfumero added bug Something isn't working enhancement New feature or request runtime labels Feb 8, 2024
@jjfumero jjfumero self-assigned this Feb 8, 2024
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@mikepapadim mikepapadim left a comment

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LGTM

@jjfumero jjfumero merged commit 6bfb95b into beehive-lab:develop Feb 8, 2024
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@jjfumero jjfumero deleted the fix/batch branch February 8, 2024 11:21
jjfumero added a commit that referenced this pull request Feb 29, 2024
Improvements
~~~~~~~~~~~~~~~~~~

- `#323 <https://github.com/beehive-lab/TornadoVM/pull/323>`_: Set Accelerator Memory Limit per Execution Plan at the API level
- `#328 <https://github.com/beehive-lab/TornadoVM/pull/328>`_: Javadoc API to run with concurrent devices and memory limits
- `#340 <https://github.com/beehive-lab/TornadoVM/pull/340>`_: New API calls to enable ``threadInfo`` and ``printKernel`` from the Execution Plan API.
- `#334 <https://github.com/beehive-lab/TornadoVM/pull/334>`_: Dynamically enable/disable profiler after first run

Compatibility
~~~~~~~~~~~~~~~~~~

- `#337 <https://github.com/beehive-lab/TornadoVM/pull/337>`_ : Initial support for Graal and JDK 21.0.2

Bug Fixes
~~~~~~~~~~~~~~~~~~

- `#322 <https://github.com/beehive-lab/TornadoVM/pull/322>`_: Fix duplicate thread-info debug message when the debug option is also enabled.
- `#325 <https://github.com/beehive-lab/TornadoVM/pull/325>`_: Set/Get accesses for the ``MatrixVectorFloat4`` type fixed
- `#326 <https://github.com/beehive-lab/TornadoVM/pull/326>`_: Fix installation script for running with Python >= 3.12
- `#327 <https://github.com/beehive-lab/TornadoVM/pull/327>`_: Fix Memory Limits for all supported Panama off-heap types.
- `#329 <https://github.com/beehive-lab/TornadoVM/pull/329>`_: Fix timers for the dynamic reconfiguration policies
- `#330 <https://github.com/beehive-lab/TornadoVM/pull/330>`_: Fix the profiler logs when silent mode is enabled
- `#332 <https://github.com/beehive-lab/TornadoVM/pull/332>`_: Fix Batch processing when having multiple task-graphs in a single execution plan.
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3 participants