Accelerating Scientific Computations with Mixed Precision Algorithms

Details Accelerating Scientific Computations with Mixed Precision Algorithms Accelerating Scientific Computations with Mixed Precision Algorithms

2008-08-20

arxiv.org/abs/0808.2794v1

Computer Science

Mathematical Software

Scientific paper

On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. By using a combination of 32-bit and 64-bit floating point arithmetic, the performance of many dense and sparse linear algebra algorithms can be significantly enhanced while maintaining the 64-bit accuracy of the resulting solution. The approach presented here can apply not only to conventional processors but also to other technologies such as Field Programmable Gate Arrays (FPGA), Graphical Processing Units (GPU), and the STI Cell BE processor. Results on modern processor architectures and the STI Cell BE are presented.

Affiliated with

Also associated with

No associations

Rating

Accelerating Scientific Computations with Mixed Precision Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Accelerating Scientific Computations with Mixed Precision Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Accelerating Scientific Computations with Mixed Precision Algorithms will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-609758