HicrestLaboratory / SPARTALinks
SParse AcceleRation on Tensor Architecture
☆17Updated 6 months ago
Alternatives and similar repositories for SPARTA
Users that are interested in SPARTA are comparing it to the libraries listed below
Sorting:
- Sparsity support for PyTorch☆37Updated 6 months ago
- A GPU performance prediction toolkit for CUDA programs☆18Updated 6 years ago
- MagmaDNN: a simple deep learning framework in c++☆50Updated 5 years ago
- cuASR: CUDA Algebra for Semirings☆39Updated 3 years ago
- ☆11Updated 4 years ago
- ☆28Updated 9 months ago
- Benchmarks to capture important workloads.☆31Updated 8 months ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- Julia ports of the Rodinia benchmark suite for heterogeneous computing infrastructures☆54Updated 2 years ago
- A library of GPU kernels for sparse matrix operations.☆275Updated 4 years ago
- ☆41Updated last year
- ☆16Updated last year
- FlexAttention w/ FlashAttention3 Support☆27Updated last year
- Mille Crepe Bench: layer-wise performance analysis for deep learning frameworks.☆17Updated 5 years ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆98Updated 3 months ago
- A Data-Centric Compiler for Machine Learning☆85Updated last year
- ☆19Updated 5 years ago
- COCCL: Compression and precision co-aware collective communication library☆25Updated 7 months ago
- Test suite for probing the numerical behavior of NVIDIA tensor cores☆41Updated last year
- Distributed Communication-Optimal LU-factorization Algorithm☆12Updated 4 years ago
- GEMM and Winograd based convolutions using CUTLASS☆28Updated 5 years ago
- [CF ’20] Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs☆15Updated 4 years ago
- FP64 equivalent GEMM via Int8 Tensor Cores using the Ozaki scheme☆88Updated 6 months ago
- Research and development for optimizing transformers☆131Updated 4 years ago
- CUDA 12.2 HMM demos☆20Updated last year
- ☆18Updated last year
- ParaDnn: A systematic performance analysis methodology for deep learning.☆39Updated 5 years ago
- Unit Scaling demo and experimentation code☆16Updated last year
- A task benchmark☆44Updated last year
- parser script to process pytorch autograd profiler result, convert json file to excel.☆15Updated 6 years ago