* [Feature] Add CTypes JIT kernel support for dynamic shapes and multi-stream execution
- Enhance CtypesKernelAdapter to handle dynamic symbolic shapes
- Add support for multi-stream kernel execution in CTypes backend
- Implement dynamic shape handling in test_tilelang_jit_gemm_ctypes.py
- Add symbolic shape utility function in tilelang.language
- Update profiler to improve flexibility in benchmark selection
* Remove redundant thread binding in GEMM kernel implementations
- Remove unnecessary `thread_binding` line in GEMM kernel functions
- Clean up code in `examples/gemm/README.md` and `testing/python/kernel/test_tilelang_kernel_int4_gemm_mma.py`
- Enhance code readability by removing redundant thread binding annotation
* Fix indentation in int4 GEMM kernel test file
- Correct indentation for function calls in `test_tilelang_kernel_int4_gemm_mma.py`
- Remove extra indentation in `mma_emitter.ldmatrix_a()` and `mma_emitter.ldmatrix_b()` calls
- Improve code formatting for better readability
* [Enhancement] Add VectorizeLoop function and update imports for compatibility
* [CI][Test] Improve test cases for vectorization and fix typos in parser comments
* lint fix
* Fix incorrect module reference for VectorizeLoop transformation
* Refactor vectorize_loop transformation by removing unused extent mutation logic
* [Enhancement] Add support for FP8 data types and global barriers in CUDA codegen
* Fix formatting in CUDA FP8 header file for consistency
* Refactor CI workflow to use 'tilelang_ci' virtual environment and update CUDA type printing for better clarity
* Update submodule 'tvm' to latest commit for improved functionality
* Refactor execution backend references from 'dl_pack' to 'dlpack' for consistency and clarity; add apply_simplify function to simplify PrimFunc or IRModule.
* Refactor CUDA code for improved readability; clean up formatting and remove unnecessary whitespace in multiple files.
* Refactor import statement in test_tilelang_kernel_dequantize_gemm.py to use 'tilelang.language' for consistency
* Add CUDA requirements to FP8 test cases and update references for clarity
* Add a blank line for improved readability in test_tilelang_kernel_fp8_gemm_mma.py
* Fix data type in reference result calculation for consistency in test_tilelang_kernel_gemm_mma_intrinsic.py
* Add CUDA requirements and FP8 test cases for matmul and gemv simulations
* Remove debug print statements and use tilelang's testing assertion for result validation in test_tilelang_kernel_gemm_mma_intrinsic.py
* Remove outdated comment regarding FP8 tests in test_tilelang_kernel_gemv_simt.py
* Add BF16 support to matrix multiplication and introduce corresponding test cases
* Add a blank line for improved readability in BF16 GEMM test
* Update acknowledgements in README to include supervision by Zhi Yang at Peking University
Lei Wang