TornadoVM v0.14

[jjfumero]

15/06/2022

New Features

• New device memory management for addressing the memory allocation limitations of OpenCL and enabling pinned memory of device buffers.
  • The execution of task-schedules will still automatically allocate/deallocate memory every time a task-schedule is executed, unless lock/unlock functions are invoked explicitly at the task-schedule level.
  • One heap per device has been replaced with a device buffer per input variable.
  • A new API call has been added for releasing memory: unlockObjectFromMemory
  • A new API call has been added for locking objects to the device: lockObjectInMemory This requires the user to release memory by invoking unlockObjectFromMemory at the task-schedule level.
• Enhanced Live Task migration by supporting multi-backend execution (PTX <-> OpenCL <-> SPIR-V).

Compatibility/Integration

• Integration with the Graal 22.1.0 JIT Compiler
• JDK 8 deprecated
• Azul Zulu JDK supported
• OpenCL 2.1 as a default target for the OpenCL Backend
• Single Docker Image for Intel XPU platforms, including the SPIR-V backend (using the Intel Integrated Graphics), and OpenCL (using the Intel Integrated Graphics, Intel CPU and Intel FPGA in emulation mode). Image: https://github.com/beehive-lab/docker-tornado#intel-integrated-graphics

Improvements/Bug Fixes

• SIGNUM Math Function included for all three backends.
• SPIR-V optimizer enabled by default (3x reduce in binary size).
• Extended Memory Mode enabled for the SPIR-V Backend via Level Zero.
• Phi instructions fixed for the SPIR-V Backend.
• SPIR-V Vector Select instructions fixed.
• Duplicated IDs for Non-Inlined SPIR-V Functions fixed.
• Refactoring of the TornadoVM Math Library.
• FPGA Configuration files fixed.
• Bitwise operations for OpenCL fixed.
• Code Generation Times and Backend information are included in the profiling info.

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This discussion was created from the release TornadoVM v0.14.