Programmable Stream Processors

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Merge: a programming model for heterogeneous multi-core systems (2008, methodology): “Direct approaches, such as the DSVMs cited previously or streaming languages (4; 30; 15; 20; 24), map the application directly to the accelerator ISA or API, while library-based approaches, such as the Merge framework, Sequoia, and MATCH (23), map the application to a library of function-intrinsics ”
Quantum Chemistry on Graphical Processing Units. 1. Strategies for Two-Electron Integral Evaluation. (2008, background): “Block (3, 2 ) represents the case when the number of primitive integrals is not a multiple of the number of the number of threads in a block.”
Methods for evaluating and covering the design space during early design development (2004, neutral): “Data Flow (SDF) models for signal processors [139] and computations organized in streams for media processors [140].”
Exploiting coarse-grained task, data, and pipeline parallelism in stream programs (2006, background): “Often the gains from parallel execution can be overshadowed by the costs of communication and synchronization.”
Polly - Performing Polyhedral Optimizations on a Low-Level Intermediate Representation (2012, background): “, PIPS [15], LooPo [12], PLuTo [6], PoCC, AlphaZ and the commercial R-Stream source-to-source compiler [17].”
Merrimac: Supercomputing with Streams (2003, methodology): “This stream instruction set closely follows that of the Imagine streaming media processor [5, 6].”