Work

A dependency-aware task-based programming environment for multi-core architectures

Year: 2008

Type: conference-paper

Abstract: Parallel programming on SMP and multi-core architectures is hard. In this paper we present a programming model for those environments based on automatic function level parallelism that strives to be easy, flexible, portable, and performant. Its main trait is its ability to exploit task level parallelism by analyzing task dependencies at run time. We present the programming environment in the context of algorithms from several domains and pinpoint its benefits compared to other approaches. We discuss its execution model and its scheduler. Finally we analyze its performance and demonstrate that it offers reasonable performance without tuning, and that it can rival highly tuned libraries with minimal tuning effort.

Source: IEEE International Conference on Cluster Computing (CLUSTER)

DOI: 10.1109/clustr.2008.4663765

Authors: Josep M. Perez, Rosa M. Badia, Jesus Labarta

Institutions: Barcelona Supercomputing Center, Universitat Politècnica de Catalunya

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2113277707

FWCI: 8.361

Cites: 28

Cited by: 236

Related to: 10