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TornadoVM v0.14
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@jjfumero jjfumero released this 15 Jun 09:35
· 2097 commits to master since this release
v0.14
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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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