Large-Scale Algorithms
Large-scale algorithms are designed to solve gigantic complex problems. The characterizing feature of large-scale algorithms is their need to have more than one execution engine due to the scale of their data and processing requirements. This chapter starts by discussing what types of algorithms are best suited to be run in parallel. Then, it discusses the issues related to parallelizing algorithms. Next, it presents the Compute Unified Device Architecture (CUDA) architecture and discusses how a single graphics processing unit (GPU) or an array of GPUs can be used to accelerate the algorithms. It also discusses what changes need to be made to the algorithm to effectively utilize the power of the GPU. Finally, this chapter ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access