The goal of this project is to develop a high-performance black-box fast multipole method (bbFMM) that can run very fast on a CUDA-capable GPU. Our prime objective is to offload the multipole-to-local operation (M2L) and the particle-to-particle computation (P2P) efficiently onto GPU. The bbFMM is the primary target, but other FMM variants can work with our high-performance M2L codes.

Project Activity

See All Activity >

Follow bbFMM on GPU

bbFMM on GPU Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Ratings

1.0 out of 5 stars
★★★★★
★★★★
★★★
★★
★
0
0
0
0
1
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

Filter Reviews:
All
  • takahashi-toru Posted 2016-12-01
    Over 100 downloads this week. What's going on?
Read more reviews >

Additional Project Details

Registered

2010-09-29
Report inappropriate content