szcompressor / cuSZpLinks
Fast GPU error-bounded lossy compressor for floating-point data.
☆48Updated last month
Alternatives and similar repositories for cuSZp
Users that are interested in cuSZp are comparing it to the libraries listed below
Sorting:
- A GPU accelerated error-bounded lossy compression for scientific data.☆89Updated 4 months ago
- Efficient SpGEMM on GPU using CUDA and CSR☆57Updated 2 years ago
- A GPU algorithm for sparse matrix-matrix multiplication☆72Updated 5 years ago
- FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Data on GPUs☆14Updated 2 years ago
- ☆41Updated last year
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆139Updated 2 years ago
- A library of GPU kernels for sparse matrix operations.☆274Updated 4 years ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆53Updated last year
- Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"☆29Updated 5 years ago
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆52Updated 2 years ago
- Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involveme…☆20Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 5 years ago
- A recommendation model kernel optimizing system☆10Updated 4 months ago
- ☆19Updated 5 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- ☆110Updated 4 years ago
- An extension library of WMMA API (Tensor Core API)☆106Updated last year
- A portable implementation of SZ lossy compression for AMD GPUs and Hygon DCUs.☆10Updated 7 months ago
- ☆50Updated 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
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆116Updated last week
- GPU Performance Advisor☆65Updated 3 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆143Updated 5 years ago
- ☆33Updated last year
- A hierarchical collective communications library with portable optimizations☆36Updated 10 months ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- ☆23Updated last month
- ☆24Updated 6 months ago
- Distributed MoE in a Single Kernel [NeurIPS '25]☆55Updated last week