Simdization transformation strategies

The Single Instruction Multiple Data (SIMD) paradigm promises speedup at relatively low silicon area cost for software that exposes a large amount of loop level parallelism. Automatic simdization–the act of exploiting loop level parallelism by issueing SIMD instructions that operate on multiple data elements at once– remains a daunting task for...

SIMD Floating Point Extension for Ray Tracing

In the last decade, the importance of graphics capabilities have become very important in the mobile market. As a result low power embedded solutions for mobile devices have been eveloped to run computationally intensive graphics applications, which extensively uses floating point calculations. The work proposed in this thesis target the...

A solution to misaligned data access in a vectorizing compiler framework

Vectorizing code for short vector architectures as employed by today’s multimedia extensions comes with a number of issues. The responsibilities of these issues are moved to the compiler in order to keep hardware simple. One of those issues is memory-alignment, which requires the compiler to guarantee loading and storing vectors at aligned...