HicrestLaboratory / SPARTA
SParse AcceleRation on Tensor Architecture
☆17Updated 2 weeks ago
Related projects: ⓘ
- ☆14Updated 4 months ago
- A GPU performance prediction toolkit for CUDA programs☆16Updated 5 years ago
- ☆15Updated 4 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆70Updated 3 years ago
- Sparsity support for PyTorch☆31Updated 11 months ago
- cuASR: CUDA Algebra for Semirings☆30Updated 2 years ago
- A Data-Centric Compiler for Machine Learning☆81Updated 8 months ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆48Updated 6 years ago
- ☆11Updated 3 years ago
- Distributed Communication-Optimal LU-factorization Algorithm☆12Updated 3 years ago
- MagmaDNN: a simple deep learning framework in c++☆45Updated 4 years ago
- Test suite for probing the numerical behavior of NVIDIA tensor cores☆29Updated last month
- ☆43Updated last month
- A GPU algorithm for sparse matrix-matrix multiplication☆65Updated 3 years ago
- Julia ports of the Rodinia benchmark suite for heterogeneous computing infrastructures☆47Updated last year
- A library of GPU kernels for sparse matrix operations.☆240Updated 3 years ago
- A Winograd Minimal Filter Implementation in CUDA☆20Updated 3 years ago
- BLAS implementation for Intel FPGA☆75Updated 3 years ago
- Mille Crepe Bench: layer-wise performance analysis for deep learning frameworks.☆17Updated 4 years ago
- 🎃 GPU load-balancing library for regular and irregular computations.☆56Updated 3 months ago
- Round matrix elements to lower precision in MATLAB☆35Updated 2 years ago
- NVIDIA's launch, startup, and logging scripts used by our MLPerf Training and HPC submissions☆23Updated last month
- ☆13Updated last month
- Home of ALP/GraphBLAS and ALP/Pregel, featuring shared- and distributed-memory auto-parallelisation of linear algebraic and vertex-centri…☆24Updated this week
- Benchmarks to capture important workloads.☆28Updated 3 months ago
- GPU Performance Advisor☆58Updated 2 years ago
- sparse matrix pre-processing library☆81Updated 4 months ago
- Research and development for optimizing transformers☆121Updated 3 years ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆39Updated 4 years ago
- Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.☆21Updated last week