Pattern programming approach for teaching parallel and distributed computing
Proceeding of the 44th ACM technical symposium on Computer science education
On-the-fly pipeline parallelism
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
An efficient implementation of the Min-Min heuristic
Computers and Operations Research
A task framework on top of a concurrent OOP language rooted on agent-oriented abstractions
Proceedings of the 2013 workshop on Programming based on actors, agents, and decentralized control
Paraprox: pattern-based approximation for data parallel applications
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
Palirria: Accurate On-line Parallelism Estimation for Adaptive Work-Stealing
Proceedings of Programming Models and Applications on Multicores and Manycores
Autotuning Wavefront Applications for Multicore Multi-GPU Hybrid Architectures
Proceedings of Programming Models and Applications on Multicores and Manycores
| Hi-index | 0.00 |
Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming modelsDevelops a composable, structured, scalable, and machine-independent approach to parallel computingIncludes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computersTable of Contents1. Introduction 2. Map 3. Collectives 4. Data reorganization 5. Fork-join 6. Examples 7. Further Reading