Record · corpus.blog/posts/01a0e2c0-45ce-70c7-8005-e355ebea8145

Dynamic persistent tile scheduling with Cluster Launch Control (CLC) on NVIDIA Blackwell GPUs

research.colfax-intl.com · published 9 May 2026

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1blogs citing

First cited: 21 May 2026
Most recent: 21 May 2026
Rank this month: not ranked
Links from this post: 20
Words captured: 5,044

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hamzaelshafie.bearblog.dev

Dissecting ThunderKittens: Anatomy of a Compact DSL for High-Performance AI Kernels Read at the source ↗

21 May 2026

Links from this post

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https://www.codecogs.com/eqnedit.php?latex=A%20%5Cin%20%5Cmathbb%7BR%7D%5E%7BM%20%5Ctimes%20K%7D

codecogs.com

https://www.codecogs.com/eqnedit.php?latex=C%20%5Cin%20%5Cmathbb%7BR%7D%5E%7BM%20%5Ctimes%20N%7D

codecogs.com

https://www.codecogs.com/eqnedit.php?latex=%20C%5E%7B%5Bi%2Cj%5D%7D%20%3D%20%5Csum%20A%5E%7B%5Bi%2Ck%5D%7DB%5E%7B%5Bk%2Cj%5D%7D%20

codecogs.com

CUTLASS Tutorial: Persistent Kernels and Stream-K Read at the source ↗

research.colfax-intl.com

https://www.codecogs.com/eqnedit.php?latex=C_i%20%3D%20A_iB_i%5Ctext%7B%2C%20%7D%20%5Chspace%7B0.1in%7D%20i%20%3D%200%20%2C%201%20%2C%20%5Cdots%20%2C%20%5Ctexttt%7Bnum%5C_problems%7D-1

codecogs.com

https://www.codecogs.com/eqnedit.php?latex=2*%20%5Ctexttt%7BbM%7D%20*%5Ctexttt%7BbN%7D*%5Ctexttt%7BK%7D%20%3D%20%202*2%5E7%20*%202%5E7%20*%202%5E7%20%3D%202%5E%7B22%7D%20%5Chspace%7B0.05in%7D%20%5Ctexttt%7BFLOPs%7D

codecogs.com

https://www.codecogs.com/eqnedit.php?latex=2*%20%5Ctexttt%7BbM%7D%20*%5Ctexttt%7BbN%7D*%5Ctexttt%7BK%7D%20%3D%20%202*2%5E7%20*%202%5E7%20*%202%5E%7B11%7D%20%3D%202%5E%7B26%7D%20%5Chspace%7B0.05in%7D%20%20%5Ctexttt%7BFLOPs%7D

codecogs.com

https://github.com/Dao-AILab/quack/blob/d898157f6761759161c48af94be1332dfd00697e/quack/tile_scheduler.py

github.com

https://github.com/NVIDIA/cutlass/blob/ae6bccf341fb4410241f696ba06873023d5ce4ed/examples/python/CuTeDSL/cute/blackwell/kernel/dense_gemm/dense_gemm_persistent_dynamic.py

github.com

https://docs.nvidia.com/cuda/parallel-thread-execution/

docs.nvidia.com

https://docs.nvidia.com/cuda/cuda-programming-guide/04-special-topics/cluster-launch-control.html

docs.nvidia.com

https://docs.nvidia.com/cutlass/latest/media/docs/cpp/blackwell_cluster_launch_control.html

docs.nvidia.com

CUTLASS Tutorial: Mastering the NVIDIA® Tensor Memory Accelerator (TMA) Read at the source ↗

research.colfax-intl.com

https://github.com/NVIDIA/cutlass/blob/main/examples/python/CuTeDSL/cute/blackwell/kernel/dense_gemm/dense_gemm_persistent_dynamic.py

github.com

https://github.com/NVIDIA/cutlass/blob/f74fea9ce35868d3ae9f8d1dce1969d7250d3f90/python/CuTeDSL/cutlass/utils/dynamic_persistent_tile_scheduler.py

github.com

https://github.com/NVIDIA/cutlass/blob/cb37157db50d0528c4aea99feb37946ec278e3d9/examples/python/CuTeDSL/cute/blackwell/kernel/dense_gemm/dense_gemm.py

github.com

https://github.com/NVIDIA/cutlass/blob/main/include/cutlass/gemm/kernel/sm100_gemm_tma_warpspecialized.hpp

github.com

https://github.com/NVIDIA/cutlass/blob/ae6bccf341fb4410241f696ba06873023d5ce4ed/examples/python/CuTeDSL/cute/blackwell/kernel/dense_gemm/dense_gemm_persistent.py

github.com

https://github.com/NVIDIA/cutlass/blob/ae6bccf341fb4410241f696ba06873023d5ce4ed/examples/python/CuTeDSL/cute/blackwell/kernel/dense_gemm/dense_gemm.py

github.com

https://github.com/Dao-AILab/flash-attention/pull/2218

github.com