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[docs] fix badges in the README file #538
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stratika
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Aug 26, 2024
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minor updates, regarding typo and style.
README.md
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| Tornado-Assembly | [![License: Apache 2](https://img.shields.io/badge/License-Apache%202.0-red.svg)](https://github.com/beehive-lab/TornadoVM/blob/master/LICENSE_APACHE2) | | ||
| Tornado-Drivers | [![License: GPL v2](https://img.shields.io/badge/License-GPL%20v2-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) + CLASSPATH Exception | | ||
| Tornado-Drivers | [![License: GPL v2](https://img.shields.io/badge/License-GPL%20V2%20Classpth%20Exeception-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) | |
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| Tornado-Drivers | [![License: GPL v2](https://img.shields.io/badge/License-GPL%20V2%20Classpth%20Exeception-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) | | |
| Tornado-Drivers | [![License: GPL v2](https://img.shields.io/badge/License-GPL%20v2%20Classpth%20Exeception-blue.svg)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html) | |
Co-authored-by: Thanos Stratikopoulos <34061419+stratika@users.noreply.github.com>
Co-authored-by: Thanos Stratikopoulos <34061419+stratika@users.noreply.github.com>
mairooni
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Aug 26, 2024
jjfumero
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Aug 30, 2024
Improvements ~~~~~~~~~~~~~~~~~~ - beehive-lab#468: Cleanup Abstract Metadata Class. - beehive-lab#473: Add maven plugin to build TornadoVM source for the releases. - beehive-lab#474: Refactor `<X>TornadoDevice` to place common methods in the `TornadoXPUInterface`. - beehive-lab#482: Help messages improve when an out-of-memory exception is raised. - beehive-lab#484: Double-type for the trigonometric functions added in the `TornadoMath` class. - beehive-lab#487: Prebuilt API simplified. - beehive-lab#494: Add test to trigger unsupported features related to direct use of Memory Segments. - beehive-lab#509: Add a quick pass configuration to skip the heavy tests during active development. - beehive-lab#532: Improve thread scheduler to support RISC-V Accelerators from Codeplay. - beehive-lab#533: Support for scalar values to be passed via lambda expressions as tasks. - beehive-lab#538: `README` file updated. - beehive-lab#539: Refactor core classes and add new API methods to pass compilation flags to the low-level driver compilers (OpenCL, PTX and Level Zero). - beehive-lab#542: Tagged LevelZero JNI and Beehive Toolkit dependencies added in the build and installer. Compatibility ~~~~~~~~~~~~~~~~~~ - beehive-lab#465: Support for JDK 22 and GraalVM 24.0.2. - beehive-lab#486: Temurin for Windows added in the list of supported JDKs. - beehive-lab#525: Revert usage of String Templates in preparation for JDK 23. - beehive-lab#527: SPIR-V version parameter added. TornadoVM may run previous SPIR-V versions (e.g., ComputeAorta from Codeplay). - beehive-lab#513: LevelZero JNI Library updated to v0.1.4. Bug Fixes ~~~~~~~~~~~~~~~~~~ - beehive-lab#470: README documentation fixed. - beehive-lab#478: Fix the test names that are present in the white list. - beehive-lab#488: FP64 Kind for radian operations and the PTX backend fixed. - beehive-lab#493: Tests Whitelist for PTX backend fixed. - beehive-lab#502: Fix barrier type in the documentation regarding programmability of reductions. - beehive-lab#514: Installer script fixed. - beehive-lab#540: Fix issue with clean-up execution IDs function. - beehive-lab#541: Fix Data Accessors for the prebuilt API. - beehive-lab#543: Fix checkstyle condition and FP16 error message improved.
jjfumero
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Aug 30, 2024
Improvements ~~~~~~~~~~~~~~~~~~ - beehive-lab#468: Cleanup Abstract Metadata Class. - beehive-lab#473: Add maven plugin to build TornadoVM source for the releases. - beehive-lab#474: Refactor `<X>TornadoDevice` to place common methods in the `TornadoXPUInterface`. - beehive-lab#482: Help messages improved when an out-of-memory exception is raised. - beehive-lab#484: Double-type for the trigonometric functions added in the `TornadoMath` class. - beehive-lab#487: Prebuilt API simplified. - beehive-lab#494: Add test to trigger unsupported features related to direct use of Memory Segments. - beehive-lab#509: Add a quick pass configuration to skip the heavy tests during active development. - beehive-lab#532: Improve thread scheduler to support RISC-V Accelerators from Codeplay. - beehive-lab#533: Support for scalar values to be passed via lambda expressions as tasks. - beehive-lab#538: `README` file updated. - beehive-lab#539: Refactor core classes and add new API methods to pass compilation flags to the low-level driver compilers (OpenCL, PTX and Level Zero). - beehive-lab#542: Tagged LevelZero JNI and Beehive Toolkit dependencies added in the build and installer. Compatibility ~~~~~~~~~~~~~~~~~~ - beehive-lab#465: Support for JDK 22 and GraalVM 24.0.2. - beehive-lab#486: Temurin for Windows added in the list of supported JDKs. - beehive-lab#525: Revert usage of String Templates in preparation for JDK 23. - beehive-lab#527: SPIR-V version parameter added. TornadoVM may run previous SPIR-V versions (e.g., ComputeAorta from Codeplay). - beehive-lab#513: LevelZero JNI Library updated to v0.1.4. Bug Fixes ~~~~~~~~~~~~~~~~~~ - beehive-lab#470: README documentation fixed. - beehive-lab#478: Fix the test names that are present in the white list. - beehive-lab#488: FP64 Kind for radian operations and the PTX backend fixed. - beehive-lab#493: Tests Whitelist for PTX backend fixed. - beehive-lab#502: Fix barrier type in the documentation regarding programmability of reductions. - beehive-lab#514: Installer script fixed. - beehive-lab#540: Fix issue with clean-up execution IDs function. - beehive-lab#541: Fix Data Accessors for the prebuilt API. - beehive-lab#543: Fix checkstyle condition and FP16 error message improved. minor change
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Description
README file updated to use badges for the corresponding versions and licenses.
Problem description
n/ a.
Backend/s tested
Mark the backends affected by this PR.
OS tested
Mark the OS where this PR is tested.
Did you check on FPGAs?
If it is applicable, check your changes on FPGAs.
How to test the new patch?
No need to test. The badges will be automatically rendered on GitHub.