TensorRT-LLMs/cpp/tensorrt_llm
kanghui0204 6f3922f318
feat: Low Precision Allreduce for PCIe based GPU (#4344)
This PR adds a customized allreduce to TensorRT-LLM. The new allreduce is used for communication on PCIe-based GPUs via low-precision quantization, which can accelerate the PCIe allreduce process.

Signed-off-by: Hui Kang <hkang@nvidia.com>
Co-authored-by: Hui Kang <hkang@nvidia.com>
2025-05-20 06:53:46 +08:00
..
batch_manager fix: [nvbugs/5287097] Align PP layer distribution between pytorch and TRT flow. (#4399) 2025-05-19 14:25:36 -07:00
common [Feat] add chunked-attention kernels on Hopper (for llama4) (#4291) 2025-05-19 09:57:10 -07:00
cutlass_extensions/include/cutlass_extensions [TRTLLM-3330][feat] Support DeepSeek-R1 W4A8 on Hopper (#4123) 2025-05-14 15:48:07 +08:00
executor feat: NIXL interface integration (#3934) 2025-05-19 18:18:22 +08:00
executor_worker Update TensorRT-LLM (#2792) 2025-02-18 21:27:39 +08:00
kernels feat: Low Precision Allreduce for PCIe based GPU (#4344) 2025-05-20 06:53:46 +08:00
layers Feat: Variable-Beam-Width-Search (VBWS) part4 (#3979) 2025-05-12 22:32:29 +02:00
plugins Fix bias shape in weightOnlyGroupwiseQuantMatmulPlugin for TRT workflow (#4348) 2025-05-16 10:02:30 +08:00
pybind feat: Low Precision Allreduce for PCIe based GPU (#4344) 2025-05-20 06:53:46 +08:00
runtime fix: [nvbugs/5287097] Align PP layer distribution between pytorch and TRT flow. (#4399) 2025-05-19 14:25:36 -07:00
testing refactor: Move ModelSpec to core library (#3980) 2025-05-04 01:39:09 +08:00
thop feat: Low Precision Allreduce for PCIe based GPU (#4344) 2025-05-20 06:53:46 +08:00
CMakeLists.txt feat: NIXL interface integration (#3934) 2025-05-19 18:18:22 +08:00