New Intel Cilk Plus runtime sources and SDK were just released and are available for download now.
- Intel Cilk Plus runtime sources build 4420 contains minor scheduler improvements and community-contributed Raspberry Pi* port
- Intel Cilk Plus SDK build 4421 contains support for the latest Linux*, Windows*, and Mac OS X* operating systems
More information can be found at https://www.cilkplus.org/download.
The new version Intel C++ Compiler 16.0 is now available in Intel Parallel Studio XE 2016 that has launched early this week. If your support license is current you can download and install this at no additional charge from the Intel Registration Center.
You will find some blog postings about some new features and new free tools.
Hi, many modern 64 bit clusters do not provide 32 bit libraries. The cilkscreen/cilkview tools appear to be compiled as 32 bit applications and so error when running on a cluster without 32 bit libraries: /lib/ld-linux.so.2: bad ELF interpreter: No such file or directory
Can you please release both 32 bit and 64 bit binaries for cilk screen and cilk view? This seems like negligible effort on your part for a huge benefit to your users.
Don't know the answer to the question about int vs. size_t for min|max_ind reducers. Note that Intel cilk(tm) plus uses size_t in several contexts where they must be cast to (int) in order to attain satisfactory performance, but the reducers in question don't give good performance, so may be using size_t internally.
I have an operation on a large array written in array notation. Since the array is large, what I really want is the work to be split up across many cores, and each core to use SIMD units to perform its work. Is there an easy way to specify that the work should be divided up among however many threads there are in the machine?
I am using Cilk and a custom reducer as described here: https://software.intel.com/en-us/node/522608. In the example, they use the reducer for append operation in a linked list.
Now, I want to create a vector of reducers (using std::vector); however, I get the following runtime error:
Reducer should be cache aligned. Please see comments following this assertion for explanation and fixes.