TK'EMLUPS TE SECWEPEMC - The business arm of Tk'emlps te Secwepemc is working on plans to build an inland rail port across the North Thompson River fr...

Neppure una condanna a cinque anni in primo grado, per violenza sessuale su una ragazza di 19 anni, è sufficiente per lasciare l’incarico politico. A Montorio al Vomano, paesino da 7mile anime in provincia di Teramo in Abbruzzo, il vicesindaco e assessore Francesco Ciarrocchi ha salvato il posto votando per se stesso, come racconta la […] L'articolo Vicensindaco condannato per violenza sessuale salva la poltrona votando per se stesso in consiglio comunale proviene da Il Fatto Quotidiano.

The "Bentler Ave. Street Star" mixtape is my 18th official tape written, recorded and released in 2020 and inspired by real events on the 19000th Bentler blo...

The "Dirty Street Money" mixtape is my 15th official tape written, recorded and released in 2019. This is one of my favorites. If you like this mixtape, keep...

The "Detroit City: ZONE 72" mixtape is my 14th official tape written, recorded and released in 2019. If you like these songs, keep up with me at https://www....

The "313-720-4114" mixtape is my 13th tape, recorded and released in 2018. This was my actual number back in the day when I had a crack-house on this little ...

My 11th mixtape.. originally release in late 2017. More conscious than most of my other tapes.. even more so than "My Drug Infested Neighborhood".. well at least I think so. If you like this hit that 'thumbs up' button and subscribe. More coming soon, but in the meantime keep up with me at https://www.gtwilight.com. *TRACK LIST* 00:00 - Social Engineering 03:25 - Rainin' Trap Money feat. Thir13een 06:35 - Dead Presidents [Jay-Z Cover] 10:30 - Bubble n' Boil 14:12 - The Addicted Dealer 18:25 - Seize and Sell 21:40 - The Pipe and You Mouth 25:50 - Diamonds From Sierra Leone [Kanye West Cover] 30:00 - Lemme' Tell You Sum'n 33:09 - Untitled #Detroit #ConsciousTrap #StoryTime

My 10th mixtape from back in 2017 Track list below. If you like this mixtape, keep up with me at https://www.gtwilight.com*Track list*00:00 - All I Need03:54...

My 9th mixtape from back in 2017 Track list below. If you like this mixtape, keep up with me at https://www.gtwilight.com*Track List*00:00 - Fast Life04:15 -...

I been getting roasted for doing this project since the moment I first dropped it.. and to be honest, that's okay. I was definitely yimping through out this ...

This is my fourth tape from back in 2015. It was short simple and to the point. If you like this mixtape, keep up with me athttps://www.gtwilight.comTracklis...

My tape from 2013. Tracklist below. If you like this tape keep up with me at https://www.gtwilight.com00:00:00 Welcome To The Underworld00:04:16 Another Detr...

My first official mixtape that I dropped in 2012. Seeing that DatPiff is shut down for remodeling and Spinrilla got shut down by the government, i thought i...

Hello everyone! I’m 7mile. My GSoC project this summer is Compile GPU kernels using ClangIR. It’s been an exciting journey in compiler development, and I’m thrilled to share the progress and insights gained along the way here. # Background The ClangIR project aims to establish a new IR for Clang, built on top of MLIR. As part of the ongoing effort to support heterogeneous programming models, this project focuses on integrating OpenCL C language support into ClangIR. The ultimate goal is to enable the compilation of GPU kernels written in OpenCL C into LLVM IR targeting the SPIR-V architecture, laying the groundwork for future enhancements in SYCL and CUDA support. # What We Did Our work involved several key areas: 1. **Address Space Support** : One of the fundamental tasks was teaching ClangIR to handle address spaces, a vital feature for languages like OpenCL. Initially, we considered mimicking LLVM’s approach, but this proved inadequate for ClangIR’s goals. After thorough discussion and an RFC, we implemented a unified address space design that aligns with ClangIR’s objectives, ensuring a clean and maintainable code structure. 2. **OpenCL Language and SPIR-V Target Integration** : We extended ClangIR to support the OpenCL language and the SPIR-V target. This involved enhancing the pipeline to accommodate the latest OpenCL 3.0 specification and implementing hooks for language-specific and target-specific customizations. 3. **Vector Type Support** : OpenCL vector types, a critical feature for GPU programming, were integrated into ClangIR. We leveraged ClangIR’s existing cir.vector type to generate the necessary code, ensuring consistent compilation results. 4. **Kernel and Module Metadata Emission** : We added support for emitting OpenCL kernel and module metadata in ClangIR, a necessary step for proper integration with the SPIR-V target. This included the creation of structured attributes to represent metadata, following MLIR’s preferences for well-defined structures. 5. **Global and Static Variables with Qualifiers** : We implemented support for global and static variables with qualifiers like `global`, `constant`, and `local`, ensuring that these constructs are correctly represented and lowered in the ClangIR pipeline. 6. **Calling Conventions** : We adjusted the calling conventions in ClangIR to align with SPIR-V requirements, migrating from the default `cdecl` to SPIR-V-specific conventions like `SpirKernel` and `SpirFunction`. This also enables most OpenCL built-in functions like `barrier` and `get_global_id`. 7. **User Experience Enhancements** : Finally, we ensured that the end-to-end kernel compilation experience using ClangIR was smooth and intuitive, with minimal manual intervention required. # Results The project successfully met its primary goals. OpenCL kernels from the Polybench-GPU benchmark suite can now be compiled using ClangIR into LLVM IR for SPIR-V. All patches have been merged into the main ClangIR repository, and the project’s progress has been well-documented in the overview issue. I believe the work not only advanced OpenCL support but also laid a solid foundation for future enhancements, such as SYCL and CUDA support in ClangIR. We have successfully compiled and executed all 20 OpenCL C benchmarks from the polybenchGpu repository, passing the built-in result validation. Please refer to our artifact evaluation repository for detailed instructions on how to experiment with our work. # Future Works As we look forward, there are two key areas that require further development: 1. **Function Attribute Consistency** : For example, the `convergent` function attribute is crucial for preventing misoptimizations in SIMT languages like OpenCL. ClangIR currently lacks this attribute, which could lead to issues in parallel computing contexts. Addressing this is a priority to ensure correct optimization behavior. 2. **Support for OpenCL Built-in Types** : Another critical area for future work is the support for OpenCL built-in types, such as `pipe` and `image`. These types are essential for handling data streams and image processing tasks in various specialized OpenCL applications. Supporting these types will significantly enhance ClangIR’s adherence to the OpenCL standard, broadening its applicability and ensuring better compatibility with a wide range of OpenCL programs. # Acknowledgements This project would not have been possible without the guidance and support of the LLVM community. I extend my deepest gratitude to my mentors, Julian Oppermann, Victor Lomüller, and Bruno Cardoso Lopes, whose expertise and encouragement were instrumental throughout this journey. Additionally, I would like to thank Vinicius Couto Espindola for his collaboration on ABI-related work. This experience has been immensely rewarding, both technically and in terms of community engagement. # Appendix * Overview issue of OpenCL C support * Artifact Evaluation Instructions