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b11632: cuda, hip: GDN chunked kernel (#29353)

BACKGROUND
1 SIGNALFIRST DETECTED 15 October 2026
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How the story developed
15 Oct
b11632: cuda, hip: GDN chunked kernel (#29353)
REPORT · WHAT · GitHub: llama.cpp
2.8
Other feeds and industry voices
17 Oct
b11713: CUDA: faster MMVQ for low-bit types (#30517)

<ul> <li> <p>CUDA: faster MMVQ for low-bit types</p> </li> <li> <p>ggml-cuda: hip: small nwarps GCN fix on Q3_K(ncols=2,3), Q6_K(ncols=4)</p> </li> </ul> <hr /> <p>Co-authored-by:

REPORT · WHAT · GitHub: llama.cppOPEN STORY
14 Oct
cuda, hip: GDN chunked kernel by am17an · Pull Request #29353 · ggml-org/llama.cpp

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x5skta/cuda_hip_gdn_chunked_kernel_by_am17an_pull/"> <img alt="cuda, hip: GDN chunked kernel by am17an ·

OPINION · WHAT · LocalLLaMAOPEN STORY
16 Oct
b11702: opencl: Add MxFP4 MoE bin kernel for Adreno X1 devices (#30691)

<ul> <li> <p>opencl: add bin kernel <code>gemm_moe_mxfp4_q8_1_dp4a_ila_ldck</code> for X1</p> </li> <li> <p>opencl: fix whitespace</p> </li> <li> <p>opencl: undo unnecessary

REPORT · WHAT · GitHub: llama.cppOPEN STORY
19 Oct
b11730: cuda: cap MMQ Stream-K blocks at available work (#30553)

<ul> <li>cuda: cap Stream-K blocks at the number of k-blocks</li> </ul> <p>Stream-K normally launches one CUDA block per SM. For small matrices,<br /> this can exceed the total

REPORT · WHAT · GitHub: llama.cppOPEN STORY
5 Oct
b11422: cuda: use the vector lightning indexer kernel on MUSA (#29990)

<ul> <li>cuda: stage the lightning indexer queries in head passes for MUSA</li> </ul> <p>MUSA archs 21 and 22 cap static shared memory at 28 KB, and the tile<br /> kernel staged

REPORT · WHERE · GitHub: llama.cppOPEN STORY
25 Apr
CUDA: reduce MMQ stream-k overhead by JohannesGaessler · Pull Request #22298 · ggml-org/llama.cpp

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1svdjfa/cuda_reduce_mmq_streamk_overhead_by/"> <img alt="CUDA: reduce MMQ stream-k overhead by

OPINION · WHAT · LocalLLaMAOPEN STORY
29 Mar
Optimize MOE GEMV kernel for BS > 1. by gaugarg-nv · Pull Request #20905 · ggml-org/llama.cpp

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s71d3f/optimize_moe_gemv_kernel_for_bs_1_by_gaugargnv/"> <img alt="Optimize MOE GEMV kernel for BS &gt; 1.

OPINION · WHAT · LocalLLaMAOPEN STORY
4 Oct
b11399: CUDA: refactor swizzling code (#29612)

<ul> <li> <p>CUDA: refactor swizzling code</p> </li> <li> <p>fix templates/loop bounds</p> </li> </ul>

REPORT · WHAT · GitHub: llama.cppOPEN STORY
Sources
GitHub: llama.cpp

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