Difference between revisions of "SPO600 Vectorization Lab"
Chris Tyler (talk | contribs) (→Lab 6) |
Chris Tyler (talk | contribs) |
||
| Line 6: | Line 6: | ||
# Write a short program that creates two 1000-element integer arrays and fills them with random numbers, then sums those two arrays to a third array, and finally sums the third array to a long int and prints the result. | # Write a short program that creates two 1000-element integer arrays and fills them with random numbers, then sums those two arrays to a third array, and finally sums the third array to a long int and prints the result. | ||
# Compile this program on [[SPO600 Servers#AArch64: aarchie|aarchie]] in such a way that the code is auto-vectorized. | # Compile this program on [[SPO600 Servers#AArch64: aarchie|aarchie]] in such a way that the code is auto-vectorized. | ||
| − | # Annotate the emitted code (i.e., obtain a dissassembly via <code>objdump -d</code> and add comments to the instructions in <code><main></code> explaining what the code does). | + | # Annotate the emitted code (i.e., obtain a dissassembly via <code>objdump -d</code> and add comments to the instructions in <code><main></code> explaining what the code does). '''Prove that the code is vectorized''', for example, by pointing out the use of vector registers and SIMD instructions. |
| − | |||
# '''Write a blog post discussing your findings'''. Include: | # '''Write a blog post discussing your findings'''. Include: | ||
#* The source code | #* The source code | ||
| Line 13: | Line 12: | ||
#* Your annotated dissassembly listing | #* Your annotated dissassembly listing | ||
#* Your reflections on the experience and the results | #* Your reflections on the experience and the results | ||
| − | |||
=== Resources === | === Resources === | ||
Revision as of 22:37, 1 October 2017
Purpose of this Lab
This lab is designed to explore single instruction/multiple data (SIMD) vectorization, and the auto-vectorization capabilities of the GCC compiler.
This lab is designed to explore single instruction/multiple data (SIMD) vectorization, and the auto-vectorization capabilities of the GCC compiler.
Lab 5
- Write a short program that creates two 1000-element integer arrays and fills them with random numbers, then sums those two arrays to a third array, and finally sums the third array to a long int and prints the result.
- Compile this program on aarchie in such a way that the code is auto-vectorized.
- Annotate the emitted code (i.e., obtain a dissassembly via
objdump -dand add comments to the instructions in<main>explaining what the code does). Prove that the code is vectorized, for example, by pointing out the use of vector registers and SIMD instructions. - Write a blog post discussing your findings. Include:
- The source code
- The compiler command line used to build the code
- Your annotated dissassembly listing
- Your reflections on the experience and the results
Resources
- Auto-Vectorization in GCC - Main project page for the GCC auto-vectorizer.
- Auto-vectorization with gcc 4.7 - An excellent discussion of the capabilities and limitations of the GCC auto-vectorizer, intrinsics for providing hints to GCC, and other code pattern changes that can improve results. Note that there has been some improvement in the auto-vectorizer since this article was written. This article is strongly recommended.
- Intel (Auto)Vectorization Tutorial - this deals with the Intel compiler (ICC) but the general technical discussion is valid for other compilers such as gcc and llvm
