A comparison of programming models for multiprocessors with explicitly managed memory hierarchies
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
MPOpt-Cell: a high-performance data-flow programming environment for the CELL BE processor
Proceedings of the 8th ACM International Conference on Computing Frontiers
PTask: operating system abstractions to manage GPUs as compute devices
SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
Producer-Consumer: the programming model for future many-core processors
ARCS'13 Proceedings of the 26th international conference on Architecture of Computing Systems
GPUfs: integrating a file system with GPUs
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
ACM SIGOPS 24th Symposium on Operating Systems Principles
Dandelion: a compiler and runtime for heterogeneous systems
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
GPUfs: Integrating a file system with GPUs
ACM Transactions on Computer Systems (TOCS)
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The multi-core Cell BE architecture has the potential to deliver high performance computation to many applications. However, it requires parallel programming on several levels and uses a memory model that requires explicit scheduling of memory transfers. The RapidMind development platform enables access to the power of the Cell BE by providing a simple data-parallel model of execution. It combines a dynamic compiler with a runtime streaming execution manager, and provides a single system image for computations running on multiple cores. The interface to this system is embedded inside ISO standard C++, where it can capture computations specified through an innovative metaprogrammed interface. This tutorial will introduce and demonstrate the use of the RapidMind platform on the Cell BE through a number of examples drawn from visualization and scientific computation.