0x17 Core lower PPD
Posted: Fri Jan 31, 2014 2:13 pm
Hey all, first time posting here.
I've been folding for around 6 years now, and to start off, I appreciate the fact that distributed computing projects like this exist. I've been donating power wherever I can, on newer multi-core systems I own and on capable graphics cards. Recently, one system has come to my attention and I wanted to ask abut it.
I have a Lenovo laptop which is used to fold, which happens to include an Intel i5 Ivybridge dual core CPU @3Ghz (Turbo), along with an NVIDIA NVS 5400M. While CPU folding is going all fine and dandy, the new OpenCL-based Core 17 core is causing both a 4000PPD drop in comparison to the CUDA-based Core 15 core, in addition to a long Time per Fold (difference of 5-10 minutes vs 45 minutes).
Overall it seems the card, due to it's nature, is not only both a low end card (as to be expected), but is very, very inefficient at OpenCL folding versus CUDA folding. Unless there's a driver fix that I could implement, is there a way to restrict the folding client to only fold CUDA work units? Normally, this card with CUDA will do around 6,000 points per day, and with OpenCL not trying to consume an entire thread on the CPU, the CPU Client can also do around 6,000 Points per Day. If the laptop had an AMD card in it, I wouldn't mind OpenCL since those cards do OpenCL nicely, and are stuck to it anyways.
Any help is appreciated
I've been folding for around 6 years now, and to start off, I appreciate the fact that distributed computing projects like this exist. I've been donating power wherever I can, on newer multi-core systems I own and on capable graphics cards. Recently, one system has come to my attention and I wanted to ask abut it.
I have a Lenovo laptop which is used to fold, which happens to include an Intel i5 Ivybridge dual core CPU @3Ghz (Turbo), along with an NVIDIA NVS 5400M. While CPU folding is going all fine and dandy, the new OpenCL-based Core 17 core is causing both a 4000PPD drop in comparison to the CUDA-based Core 15 core, in addition to a long Time per Fold (difference of 5-10 minutes vs 45 minutes).
Overall it seems the card, due to it's nature, is not only both a low end card (as to be expected), but is very, very inefficient at OpenCL folding versus CUDA folding. Unless there's a driver fix that I could implement, is there a way to restrict the folding client to only fold CUDA work units? Normally, this card with CUDA will do around 6,000 points per day, and with OpenCL not trying to consume an entire thread on the CPU, the CPU Client can also do around 6,000 Points per Day. If the laptop had an AMD card in it, I wouldn't mind OpenCL since those cards do OpenCL nicely, and are stuck to it anyways.
Any help is appreciated