3 ms·
in other breaking news grass is green and water is wet. Obviously throwing more power at the problem ends up with faster execution. There's a limit to GPGPU ac
by sjtrny 12y ago
in other breaking news grass is green and water is wet. Obviously throwing more power at the problem ends up with faster execution.
There's a limit to GPGPU acceleration though. It's the tiny amount of RAM. We need to adopt shared memory architecture like those found in games consoles. A single massive pool of RAM would further unlock potential power.
- hbogert 12y agoIt's not that simple, when you look at those architectures like AMD's fusion platform, the differences of latencies and bandwidth play a huge role, making it a much more nuanced story. One of the papers showing this: http://link.springer.com/article/10.1007/s00450-012-0209-1#page-1 http://link.springer.com/article/10.1007/s00450-012-0209-1#p...
- Sanddancer 12y agoThe paper's unfortunately paywalled, but it being two years old, and with AMD's fusion platform having added a few interesting features in the interim, like being able to just throw a pointer over the wall to the GPU, instead of copying the entire data structure over, makes me wonder if the paper needs to be revised to address this. GPGPU is a rapidly changing field, and just a couple years is a big difference.