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homemade-jam should probably come on here more often. Still looking for my t-shirt :D

In Topic: start parallel programming

Posted 19 Nov 2011

OpenCL is probably better start with: it's platform independant across CPUs GPUs etc. With CUDA you're tied to nVidia's GPU. Both CUDA and OpenCL are easier to get into: CUDA has slightly better performance though the spread is tightening. Otherwise, both fairly similar and have the same learning curve though once you know one you can pick up the other fairly quickly. I prefer OpenCL myself since it is not owned by a single company.

For multithreading, boost has a very easy to use library.
In Topic: Segmentation fault

Posted 19 Nov 2011

I don't think you can use the standard libraries in OpenCL. ie. How can you printf in a kernel? Just make it do something simple like i++ and store it in a target array. Or copy one of the kernels from the sdk.

Member Title:: Gabe's Nemesis
Age:: 22 years old
Birthday:: January 17, 1991
Gender:
Location:: UK
Interests:: Computer Science, C++ Programming, Integrated systems, Public Key Encryption, Quantum Algorithms & Cryptosystems
Years Programming:: 5