TeraFLOP computing on a desktop PC with GPUs for 3D CFD

By Jonas Tölke, Manfred Krafczyk. 2008

322 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a205801dbd56f93f3b98fd6d9a535ed1961806fa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. John R. Nickolls
2. William (Bill) J. Dally

In Computer Vision and Pattern Recognition

1. Pradeep K. Dubey
2. Nadathur Rajagopalan Satish
3. M. Smelyanskiy
4. Michael E. Deisher
5. John R. Nickolls
6. William (Bill) J. Dally
7. Song Han
8. Yi Yang

In Electrical and Electronic Engineering

1. John R. Nickolls
2. Changkyu Kim
3. William (Bill) J. Dally

Citations in the corpus

• The GPU Computing Era (2010, methodology): “Table 3 lists some representative applications along with the runtime speedups obtained for the whole application using CPUþGPU coprocessing over CPU alone, as measured by application developers.(12-22) The speedups using GeForce 8800, Tesla T8, GeForce GTX 280, Tesla T10, and GeForce GTX 285 range ”
• Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU (2010, background): “LBM uses the discrete Boltzmann equation to simulate the flow of a Newtonian fluid instead of solving the Navier Stokes equations.”