PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms

Abstract. We present a new parallel computation model called the Parallel ResourceOptimal computation model. PRO is a framework being proposed to enable the design of efficient and scalable parallel algorithms in an architecture-independent manner, and to simplify the analysis of such algorithms. A focus on three key features distinguishes PRO from existing parallel computation models. First, the design and analysis of a parallel algorithm in the PRO model is performed relative to the time and space complexity of a sequential reference algorithm. Second, a PRO algorithm is required to be both time- and space-optimal relative to the reference sequential algorithm. Third, the quality of a PRO algorithm is measured by the maximum number of processors that can be employed while optimality is maintained. Inspired by the Bulk Synchronous Parallel model, an algorithm in the PRO model is organized as a sequence of supersteps. Each superstep consists of distinct computation and communication ph...

• Type: Journal
• Year: 2006
• Where: NJC
• Authors: Assefaw Hadish Gebremedhin, Mohamed Essaïdi, Isabelle Guérin Lassous, Jens Gustedt, Jan Arne Telle
• Keywords: Algorithms, NJC 2006, Parallel Computation Models, PRO Algorithm