Skip to Main Content
Designing Scientific Applications on GPUs
book

Designing Scientific Applications on GPUs

by Raphael Couturier
November 2013
Intermediate to advanced content levelIntermediate to advanced
498 pages
17h 6m
English
Chapman and Hall/CRC
Content preview from Designing Scientific Applications on GPUs
360 Designing Scientific Applications on GPUs
15.3 Single GPU implementation
In this section we describe the steps taken to enable Ludwig for the GPU.
There are a number of crucial issues: first, the minimization of data traffic
between host and device; second, the optimal mapping of available parallelism
onto the architecture; and third, the issue of memory coalescing. We discuss
each of these in turn.
While the most important section of the LB in terms of floating-point
performance is the collision stage, this cannot be the only consideration for
a GPU implementation. It is essential to offload all computational activity
which involves the main data structures ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Introduction to Numerical Analysis and Scientific Computing

Introduction to Numerical Analysis and Scientific Computing

Nabil Nassif, Dolly Khuwayri Fayyad
Computational Electromagnetism

Computational Electromagnetism

Alain Bossavit, Isaak D. Mayergoyz

Publisher Resources

ISBN: 9781466571648