Ascend / torchairLinks
☆22Updated last week
Alternatives and similar repositories for torchair
Users that are interested in torchair are comparing it to the libraries listed below
Sorting:
- A simple calculation for LLM MFU.☆50Updated 3 months ago
- Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend☆90Updated this week
- ☆97Updated 8 months ago
- ☆65Updated 7 months ago
- ☆102Updated last year
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆119Updated last year
- DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit☆82Updated this week
- DLBlas: clean and efficient kernels☆27Updated this week
- Standalone Flash Attention v2 kernel without libtorch dependency☆112Updated last year
- A Triton JIT runtime and ffi provider in C++☆29Updated 2 weeks ago
- ☆19Updated last year
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆118Updated 6 months ago
- ☆153Updated 9 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆137Updated 7 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆90Updated 2 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆146Updated 2 months ago
- ☆78Updated 2 weeks ago
- GPTQ inference TVM kernel☆41Updated last year
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆46Updated 6 months ago
- DeeperGEMM: crazy optimized version☆73Updated 7 months ago
- Fast and memory-efficient exact attention☆104Updated this week
- ☆114Updated 6 months ago
- A NCCL extension library, designed to efficiently offload GPU memory allocated by the NCCL communication library.☆58Updated 2 weeks ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆43Updated 9 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆104Updated 5 months ago
- A lightweight design for computation-communication overlap.☆194Updated 2 months ago
- PyTorch distributed training acceleration framework☆54Updated 4 months ago
- DeepXTrace is a lightweight tool for precisely diagnosing slow ranks in DeepEP-based environments.☆73Updated this week
- a size profiler for cuda binary☆66Updated 2 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 3 months ago