GPU vs. CPU:
You May Not Have to Choose
by Peter Varhol
As GPUs with multiple processing cores increasingly find their way into standalone workstations, engineers are looking for ways to take advantage of the computational power provided by these special-purpose processors. Today, few people doubt the value of GPU computing, especially for computationally intensive uses such as engineering analysis and simulation.
But GPU computing presents a difficult dilemma for engineers, hardware vendors and engineering software providers alike. The problem is that most code, whether commercial or in-house, has been written to industry-standard CPUs. If you own the code, you have to determine whether it's worth the time and effort to convert to a GPU architecture. |
