shipfeedAI news, curated daily

09:31:23 CET
1 SEPT09:31:23shipfeed
pull to refreshlast sync
Just in — 30 new
§ local-llm · storyline

Speeds up Vulkan batched inference on RDNA3

Speeds up Vulkan batched inference on RDNA3

yesterday · · primary fetch1 sourceupdated yesterday ·

vulkan: tune mat-vec rows for batched inference on Strix Halo (#27909) vulkan: RDNA3 static mat-vec rows above four columns On RDNA3 above four columns a static 4 rows for all types benches faster than the default. vulkan: RDNA3 static mat-vec-id rows mul_mat_vec_id has no column dimension to switch on. On my Strix Halo machine, a static 4 is faster here than the defaults across types and batch sizes. Website: Attestations: macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.14) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Android: Android arm64 (CPU) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.3 DLLs Windows arm64 (CUDA 13) (preview) - CUDA 13.4 DLLs Windows x64 (Vulkan) Windows x64 (OpenVINO) Windows x64 (SYCL) Windows x64 (ROCm 7.14) openEuler: DISABLED openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b…

read full article on github.com
§ sources1 publication · timeline below
  1. github.comllama.cpp b10714primary