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Version 0.4.3
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@benvanwerkhoven benvanwerkhoven released this 19 Oct 15:45
· 511 commits to master since this release
0.4.3
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The version 0.4.3 release consists of a large number of changes to the internals of Kernel Tuner, including the addition of a new backend based on Nvidia's official Python bindings for CUDA, as well as improved functionality for tuning energy efficiency, e.g. measuring core voltages, the measurement of power and the interface with NVML has also improved a lot.

Some of the changes are also in the "externals" of Kernel Tuner. In the sense that we have migrated from https://github.com/benvanwerkhoven/ to https://github.com/KernelTuner. The goal of this move is to bring the collection of repositories belonging to the larger Kernel Tuner project under one organization.

From the Changelog:

[0.4.3] - 2022-10-19

Added

  • A new backend that uses Nvidia cuda-python
  • Support for locked clocks in NVMLObserver
  • Support for measuring core voltages using NVML
  • Support for custom preprocessor definitions
  • Support for boolean scalar arguments in PyCUDA backend

Changed

  • Migrated from github.com/benvanwerkhoven to github.com/KernelTuner
  • Significant update to the documentation pages
  • Unified benchmarking loops across backends
  • Backends are no longer context managers
  • Replaced the method for measuring power consumption using NVML
  • Improved NVML measurements of temperature and clock frequencies
  • bugfix in parse_restrictions when using and/or in expressions
  • bugfix in GreedyILS when using neighbor method "adjacent"
  • bugfix in Bayesian Optimization for small problems
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