rapidsai / benchmarkLinks
☆12Updated 2 years ago
Alternatives and similar repositories for benchmark
Users that are interested in benchmark are comparing it to the libraries listed below
Sorting:
- RAPIDS GPU-BDB☆108Updated last year
- KvikIO - High Performance File IO☆226Updated last week
- Python bindings for UCX☆140Updated 2 weeks ago
- The Foundation for All Legate Libraries☆228Updated last week
- FIL backend for the Triton Inference Server☆83Updated 3 weeks ago
- Utilities for Dask and CUDA interactions☆315Updated this week
- Provide Python access to the NVML library for GPU diagnostics☆248Updated last month
- RAPIDS Memory Manager☆623Updated this week
- Dockerfile templates for creating RAPIDS Docker Images☆82Updated this week
- WholeGraph - large scale Graph Neural Networks☆104Updated 10 months ago
- RFC document, tooling and other content related to the array API standard☆255Updated last month
- The CUDA target for Numba☆193Updated this week
- A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python☆332Updated 11 months ago
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 3 years ago
- RAPIDS Deployment Documentation☆15Updated this week
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆101Updated this week
- Analyze graph/hierarchical performance data using pandas dataframes☆116Updated 7 months ago
- Python SYCL bindings and SYCL-based Python Array API library☆117Updated last week
- scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…☆118Updated last week
- Test suite for Python array API standard compliance☆68Updated last month
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆392Updated this week
- ☆17Updated 2 weeks ago
- A tensor-aware point-to-point communication primitive for machine learning☆274Updated last month
- distributed-embeddings is a library for building large embedding based models in Tensorflow 2.☆46Updated last year
- Data and tooling to compare the API surfaces of various array libraries.☆56Updated 2 months ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated 2 weeks ago
- Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP impleme…☆397Updated 4 months ago
- The Distributed Computing library for python implemented using PyCOMPSs programming model for HPC.☆50Updated 4 months ago
- ☆13Updated last year
- Globus Compute: High Performance Function Serving for Science☆157Updated this week