Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits. Intel AVX brought 256-bits floating-point SIMD instructions, but it didn't include 256-bits integer SIMD instructions. Intel AVX2 allows you to operate with the AVX 256-bits wide YMM register for integer data types. In this post, I’ll explain how developers can speedup big data processing with the new 256-bits integer SIMD instructions.
I evaluated my cilk application using "taskset -c 0-(x-1) MYPROGRAM) to analyze scaling behavior.
I was very suprised to see, that the performances increases up to a number of cores but decreases afterwards.
for 2 Cores, I gain a speedup of 1,85. for 4, I gain 3.15. for 8 4.34 - but with 12 cores the performance drops down
to a speedup close to the speedup gained by 2 cores (1.99).
16 cores performe slightly better (2.11)
I have used cilk_plus to make parallel processing into my source code with visual studio 2008 IDE.
But when I build it at debug mode, the project throw an exception below:
"Run-Time Check Failure #0 - The value of ESP was not properly saved across a function call. This is usually a result of calling a function pointer declared with a different calling convention"
How can I resolve it to make debug mode operated ?
Thanks of all,
I have successfully compiled cilkplus for gcc (4.8 branch) on Ubuntu 14.04 LTS and compiled the example program fib on the cilkplus website. I would like to run cilkview and cilkscreen on it, and so I downloaded cilk tools from the website as well. However, when I try to run cilkview, I get the following error:
Cilkview: Generating scalability data -t: error while loading shared libraries: -t: cannot open shared object file: No such file or directory
Hello everyone. I am new to multi threading programming. Recently, i have a project, which i apply cilk_for into it. Here is the code:
the following simple code seems to run just fine, however, cilkscreen is shouting "Race condition"!
Shall I trust it? Or it is just false sharing?
So, what scalable memory allocator is fast and thread safe to use with intel cilk plus?
I condensed our project down to a piece of code that lets you reproduce the following issue.
When I compile this in Release configuration (Debug works), I get this compiler error:
1>------ Build started: Project: ng-gtest, Configuration: Release x64 ------
1>" : error : 010101_239
1> compilation aborted for General\CilkTest.cpp (code 4)
========== Build: 0 succeeded, 1 failed, 3 up-to-date, 0 skipped ==========
Is there any efficient prefix scan library for Cilk Plus accessible from C?
I was not able to find any and my implementation can hardly compete with the sequential version :-)
An interface similar to the reducers will work nicely.
I would like to understand better how Cilk scheduling works.
I am not sure how to phrase this question so I give it my best.
I have downloaded the latest Intel Cilk runtime release (cilkplus-rtl-003365 - released 3-May-2013).
I use the classical Fibonacci example in Cilk.