hpcaitech / TensorNVMeLinks
A Python library transfers PyTorch tensors between CPU and NVMe
☆121Updated 10 months ago
Alternatives and similar repositories for TensorNVMe
Users that are interested in TensorNVMe are comparing it to the libraries listed below
Sorting:
- ☆112Updated last year
- ☆74Updated 6 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆123Updated 4 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆80Updated 10 months ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated 2 weeks ago
- ☆90Updated 10 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆265Updated 2 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆77Updated last year
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆65Updated 3 years ago
- ☆159Updated 2 years ago
- ☆75Updated 4 years ago
- extensible collectives library in triton☆88Updated 6 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆216Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆221Updated 2 years ago
- A schedule language for large model training☆151Updated last month
- Framework to reduce autotune overhead to zero for well known deployments.☆84Updated 2 weeks ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆213Updated last week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆97Updated 3 months ago
- ☆121Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆230Updated this week
- Applied AI experiments and examples for PyTorch☆296Updated last month
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆50Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆116Updated last year
- Performance benchmarking with ColossalAI☆39Updated 3 years ago
- ☆98Updated last year
- pytorch-profiler☆51Updated 2 years ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆66Updated 6 months ago
- Research and development for optimizing transformers☆130Updated 4 years ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆41Updated 2 years ago
- DeeperGEMM: crazy optimized version☆71Updated 4 months ago