ViennaCLBench provides a graphical user interface for collecting benchmark data for common OpenCL-accelerated linear algebra operations as implemented in the linear algebra library ViennaCL.

Features

  • Benchmark host-device bandwidth
  • Benchmark memory bandwidth through vector operations
  • Compare vector operations against host-implementations (single threaded)
  • Benchmark dense matrix-matrix products (GEMM)
  • Benchmark sparse matrix-vector products (SpMV)
  • Load custom sparse matrices through file
  • Direct Matrix Market integration through embedded browser
  • Full list of OpenCL device properties

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow ViennaCLBench

ViennaCLBench Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ViennaCLBench!

Additional Project Details

Operating Systems

BSD, Linux, Windows

Intended Audience

Advanced End Users, Developers, End Users/Desktop, Science/Research

User Interface

Qt

Programming Language

C++

Related Categories

C++ Benchmark Software, C++ Scientific Engineering

Registered

2014-11-29