feifeibear / LLMRooflineLinks
Compare different hardware platforms via the Roofline Model for LLM inference tasks.
☆111Updated last year
Alternatives and similar repositories for LLMRoofline
Users that are interested in LLMRoofline are comparing it to the libraries listed below
Sorting:
- ☆145Updated 5 months ago
- ☆92Updated 4 months ago
- ☆97Updated 11 months ago
- ☆128Updated 8 months ago
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆104Updated 3 months ago
- A lightweight design for computation-communication overlap.☆155Updated last week
- High performance Transformer implementation in C++.☆129Updated 7 months ago
- Fast and memory-efficient exact attention☆87Updated last week
- ☆78Updated 4 months ago
- ☆43Updated last year
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆61Updated last year
- ☆150Updated 7 months ago
- Stateful LLM Serving☆81Updated 5 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆217Updated last year
- ☆140Updated last year
- ATC23 AE☆46Updated 2 years ago
- ☆61Updated 4 months ago
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆66Updated 2 months ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆313Updated last week
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆100Updated 3 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆94Updated 2 weeks ago
- Tile-based language built for AI computation across all scales☆46Updated this week
- ☆98Updated 3 months ago
- ☆113Updated 9 months ago
- LLM Inference with Deep Learning Accelerator.☆49Updated 7 months ago
- ☆279Updated last week
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆40Updated 2 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆40Updated 5 months ago
- PyTorch distributed training acceleration framework☆51Updated last week
- ☆54Updated last year