szcompressor / cuSZp
Fast GPU error-bounded lossy compressor for floating-point data.
☆32Updated 2 months ago
Alternatives and similar repositories for cuSZp:
Users that are interested in cuSZp are comparing it to the libraries listed below
- FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Data on GPUs☆11Updated last year
- A GPU accelerated error-bounded lossy compression for scientific data.☆72Updated this week
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆48Updated last year
- Memory Optimizations for Deep Learning (ICML 2023)☆62Updated 11 months ago
- Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involveme…☆17Updated 9 months ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago
- ☆17Updated 5 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆85Updated 2 years ago
- An extension library of WMMA API (Tensor Core API)☆88Updated 7 months ago
- Code for High Performance Unstructured SpMM Computation Using Tensor Cores☆15Updated 3 months ago
- A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.☆25Updated 4 months ago
- study of Ampere' Sparse Matmul☆16Updated 4 years ago
- ☆39Updated 4 years ago
- Artifacts of EVT ASPLOS'24☆23Updated 11 months ago
- Dissecting NVIDIA GPU Architecture☆88Updated 2 years ago
- Thunder Research Group's Collective Communication Library☆33Updated 9 months ago
- ☆87Updated 10 months ago
- Test suite for probing the numerical behavior of NVIDIA tensor cores☆37Updated 6 months ago
- CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels☆32Updated 3 years ago
- ☆14Updated 2 years ago
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆51Updated last year
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆39Updated 11 months ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆72Updated 4 years ago
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.☆57Updated last year
- ☆32Updated 2 years ago
- Multi-GPU communication profiler and visualizer☆22Updated 8 months ago
- [CF ’20] Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs☆15Updated 4 years ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆124Updated 4 years ago
- TileFusion is a highly efficient kernel template library designed to elevate the level of abstraction in CUDA C for processing tiles.☆56Updated this week
- ☆25Updated last year