Algorithms and Architectures for Parallel Processing: 11th by Ivo Anjo, João Cachopo (auth.), Yang Xiang, Alfredo

By Ivo Anjo, João Cachopo (auth.), Yang Xiang, Alfredo Cuzzocrea, Michael Hobbs, Wanlei Zhou (eds.)

This quantity set LNCS 7016 and LNCS 7017 constitutes the refereed court cases of the eleventh overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2011, held in Melbourne, Australia, in October 2011.
The first quantity provides 24 revised normal papers and 17 revised brief papers including the summary of the keynote lecture - all rigorously reviewed and chosen from eighty five preliminary submissions. The papers hide the numerous dimensions of parallel algorithms and architectures, encompassing basic theoretical ways, functional experimental effects, and advertisement parts and platforms and concentrate on wide components of parallel and allotted computing, i.e., architectures, algorithms and networks, and structures and applications.

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Extra resources for Algorithms and Architectures for Parallel Processing: 11th International Conference, ICA300 2011, Melbourne, Australia, October 24-26, 2011, Proceedings, Part II

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The main idea is to spread tasks (rays) across different processes. Also, it is possible to assign a group of tasks per process, instead of one task only. In the end, each task or group of tasks will produce the color of one or more pixels of the final image, respectively. Modern general purpose GPUs are capable of executing many thousands of threads in parallel [6], achieving peaks of 1TFLOPs or more. Thus, in modern GPGPUs, each thread can be assigned to a primary ray that crosses a pixel of the viewplane.

2 VArray VArray The VArray approach, shown in Figure 4, does away entirely with the normal storage mechanisms in the JVSTM: No VBoxes and no VBoxBodies are needed. 2 The main design idea is to have an array that keeps both a set of values tagged with a version and a log containing the remaining versions. Based on this design, two strategies are possible: – The underlying array keeps the oldest values for each array position, and newer values are kept in the log; there must be a strategy to decide when to transfer values from the log to the main array.

CCSTM: A library-based STM for Scala 2. : Versioned boxes as the basis for memory transactions. Science of Computer Programming 63(2), 172–185 (2006) 3. : Development of Rich Domain Models with Atomic Actions. D. thesis, Technical University of Lisbon (2007) 4. : Transactional locking II. In: Dolev, S. ) DISC 2006. LNCS, vol. 4167, pp. 194–208. Springer, Heidelberg (2006) 5. : Stretching transactional memory. ACM SIGPLAN Notices 44, 155–165 (2009) 6. : Lock-free and scalable multi-version software transactional memory.

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