microsoft / cusyncLinks
☆25Updated last year
Alternatives and similar repositories for cusync
Users that are interested in cusync are comparing it to the libraries listed below
Sorting:
- Artifacts of EVT ASPLOS'24☆26Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆97Updated 3 months ago
- ASPLOS'24: Optimal Kernel Orchestration for Tensor Programs with Korch☆38Updated 6 months ago
- TiledLower is a Dataflow Analysis and Codegen Framework written in Rust.☆14Updated 10 months ago
- A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.☆25Updated 11 months ago
- ☆57Updated 4 months ago
- FractalTensor is a programming framework that introduces a novel approach to organizing data in deep neural networks (DNNs) as a list of …☆28Updated 9 months ago
- TiledKernel is a code generation library based on macro kernels and memory hierarchy graph data structure.☆19Updated last year
- ☆19Updated last year
- Tile-based language built for AI computation across all scales☆61Updated last week
- GPU Performance Advisor☆65Updated 3 years ago
- PTX-EMU is a simple emulator for CUDA program.☆34Updated 5 months ago
- Triton to TVM transpiler.☆22Updated 11 months ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆55Updated last year
- ☆39Updated 5 years ago
- ☆28Updated 6 months ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆23Updated 4 months ago
- A Top-Down Profiler for GPU Applications☆20Updated last year
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆51Updated last year
- ☆43Updated 5 months ago
- Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.☆70Updated this week
- ☆108Updated last year
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Updated 6 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆89Updated 2 years ago
- Handwritten GEMM using Intel AMX (Advanced Matrix Extension)☆16Updated 8 months ago
- DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit☆66Updated last week
- ☆31Updated 3 years ago
- DietCode Code Release☆65Updated 3 years ago
- An Attention Superoptimizer☆22Updated 8 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆186Updated 8 months ago