Find all needed information about Architectural Support For Parallel Reductions In Scalable Shared Memory Multiprocessors. Below you can see links where you can find everything you want to know about Architectural Support For Parallel Reductions In Scalable Shared Memory Multiprocessors.
http://research.ac.upc.edu/pact01/papers/s8p3.pdf
processors. As a result, parallel reduction is slow and not scalable. In this paper, we propose new architectural support to speed-up parallel reductions in scalable shared-memory multiprocessors. Our support eliminates the need for the costly merging phase, and effectively realizes truly-scalable parallel reduction. The proposed support ...
https://iacoma.cs.uiuc.edu/iacoma-papers/pact01.pdf
reductions is a critical transformation for loop paralleliza-tion, especially for sparse, dynamic applications. Unfortu-nately, conventionalreduction parallelization algorithms are not scalable. In this paper, we present new architectural support that signicantly speeds-up parallel reduction and makes it scal-able in shared-memory multiprocessors.
https://www.researchgate.net/publication/220884996_Architectural_Support_for_Parallel_Reductions_in_Scalable_Shared-Memory_Multiprocessors
In this paper, we present new architectural support that significantly speeds up parallel reduction and makes it scalable in shared-memory multiprocessors. The …
http://webdiis.unizar.es/gaz/biblio/pdfs/Garzaran2001b.pdf
As a result, parallel reduction is slow and not scalable. In this paper, we propose new architectural support to speed-up parallel reductions in scalable shared-memory multiprocessors. Our support eliminates the need for the costly merging phase, and effectively realizes truly-scalable parallel reduction. The proposed support consists of archi-Cited by: 21
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.829
In this paper, we present new architectural support that significantly speeds-up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are mostly confined to the directory controllers. Experimental results based on simulations show that the proposed support is very effective.
https://www.academia.edu/12728688/Architectural_support_for_parallel_reductions_in_scalable_shared-memory_multiprocessors
Architectural support for parallel reductions in scalable shared-memory multiprocessors
https://www.csl.cornell.edu/~martinez/doc/isca00.pdf
Architectural Support for Scalable Speculative Parallelization in Shared-Memory Multiprocessors Marcelo Cintra, Jose´ F. Mart´ınez, and Josep Torrellas Department of Computer Science University of Illinois at Urbana-Champaign Urbana, IL 61801-2987 cintra,martinez,torrellas @cs.uiuc.edu ABSTRACT
https://core.ac.uk/display/24077273
In this paper, we present new architectural support that significantly speeds-up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are mostly confined to the directory controllers. Experimental results based on simulations show that the proposed support is very effective.
http://iacoma.cs.uiuc.edu/iacoma-papers/scal_spec.pdf
Architectural Support for Scalable Speculative Parallelization in Shared-Memory Multiprocessors Marcelo Cintra, Jose´ F. Mart´ınez, and Josep Torrellas Department of Computer Science University of Illinois at Urbana-Champaign cintra,martinez,torrellas @cs.uiuc.edu ABSTRACT Speculative parallelization aggressively executes in parallel codes
http://research.ac.upc.edu/pact01/papers/s8p3.pdf
processors. As a result, parallel reduction is slow and not scalable. In this paper, we propose new architectural support to speed-up parallel reductions in scalable shared-memory multiprocessors. Our support eliminates the need for the costly merging phase, and effectively realizes truly-scalable parallel reduction. The proposed support ...
https://iacoma.cs.uiuc.edu/iacoma-papers/pact01.pdf
reductions is a critical transformation for loop paralleliza-tion, especially for sparse, dynamic applications. Unfortu-nately, conventionalreduction parallelization algorithms are not scalable. In this paper, we present new architectural support that signicantly speeds-up parallel reduction and makes it scal-able in shared-memory multiprocessors.
https://www.researchgate.net/publication/220884996_Architectural_Support_for_Parallel_Reductions_in_Scalable_Shared-Memory_Multiprocessors
In this paper, we present new architectural support that significantly speeds up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are ...
http://webdiis.unizar.es/gaz/biblio/pdfs/Garzaran2001b.pdf
As a result, parallel reduction is slow and not scalable. In this paper, we propose new architectural support to speed-up parallel reductions in scalable shared-memory multiprocessors. Our support eliminates the need for the costly merging phase, and effectively realizes truly-scalable parallel reduction. The proposed support consists of archi-Cited by: 21
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.829
In this paper, we present new architectural support that significantly speeds-up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are mostly confined to the directory controllers. Experimental results based on simulations show that the proposed support is very effective.
https://www.academia.edu/12728688/Architectural_support_for_parallel_reductions_in_scalable_shared-memory_multiprocessors
Architectural support for parallel reductions in scalable shared-memory multiprocessors
https://www.csl.cornell.edu/~martinez/doc/isca00.pdf
Architectural Support for Scalable Speculative Parallelization in Shared-Memory Multiprocessors Marcelo Cintra, Jose´ F. Mart´ınez, and Josep Torrellas Department of Computer Science University of Illinois at Urbana-Champaign Urbana, IL 61801-2987 cintra,martinez,torrellas @cs.uiuc.edu ABSTRACT
https://core.ac.uk/display/24077273
In this paper, we present new architectural support that significantly speeds-up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are mostly confined to the directory controllers. Experimental results based on simulations show that the proposed support is very effective.
https://core.ac.uk/display/21874604
In this paper, we present new architectural support that significantly speeds-up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are mostly confined to the directory controllers. Experimental results based on simulations show that the proposed support is very effective.
https://doi.acm.org/10.1145/339647.363382
Architectural support for scalable speculative parallelization in shared-memory multiprocessors. Full Text: PDF Get this Article: Authors: Marcelo Cintra: Department of Computer Science, University of Illinois at Urbana-Champaign: José F. Martínez:
https://www.researchgate.net/publication/3854065_Architectural_support_for_scalable_speculative_parallelization_in_shared-memory_multiprocessors
Architectural support for scalable speculative parallelization in shared-memory multiprocessors. ... We show that support for per-word speculative state is required by our applications, or else ...
https://doi.acm.org/10.1145/335231.335239
A compiler method for the parallel execution of irregular reductions in scalable shared memory multiprocessors
http://citeseer.ist.psu.edu/showciting?cid=57824
Unfortunately, conventional reduction parallelization algorithms are not scalable. In this paper, we present new architectural support that significantly speeds-up parallel reduction and makes it scalable in shared-memory multiprocessors. The required architectural changes are mostly confined to the directory controllers.
https://dl.acm.org/citation.cfm?id=968809
María Jesús Garzarán , Milos Prvulovic , Ye Zhangy , Josep Torrellas , Alin Jula , Hao Yu , Lawrence Rauchwerger, Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors, Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Techniques, p.243, September 08-12, 2001
https://dl.acm.org/ft_gateway.cfm?id=103729&ftid=43641&dwn=1
We compare the performance of our scalable algorithms with other software approaches to busy-wait synchronization on both a Sequent Symmetry and a BBN Butterfly. Our principal conclusion is that contention due to synchronization need not be a problem in large-scale shared-memory multiprocessors.
http://iacoma.cs.uiuc.edu/josep/cv.html
Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors by Maria Jesus Garzaran, Milos Prvulovic, Alin Jula, Hao Yu, Ye Zhang, Lawrence Rauchwerger, and Josep Torrellas International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2001. [Presentation slides]
http://www.cc.gatech.edu/~milos/
Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors, Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2001.
https://parasol.tamu.edu/people/alinj/
Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors, Maria Jesus Garzaran, Alin Jula, Milos Prvulovic, Hao Yu, Lawrence Rauchwerger, Josep Torrellas, In Proc. IEEE Int.Conf. on Parallel Architectures and Compilation Techniques (PACT), Sep 2001. Proceedings(ps, pdf)
https://www.sciencedirect.com/science/article/pii/S0167819100000624
Efficient compiler and run-time support for parallel irregular reductions ... Proceedings of the Seventh International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-VII), Boston, MA, October 1996 ... On automatic parallelization of irregular reductions on scalable shared memory multiprocessors, in ...
https://link.springer.com/article/10.1023%2FA%3A1018744919483
The different implementations of parallel programming constructs interact heavily with a multiprocessor's coherence protocol and thus may have a significant impact on performance. The form and extent of this interaction have not been established so far however, particularly in the case of update-based coherence protocols.
https://link.springer.com/article/10.1007/s11390-012-1207-2
Synchronization in parallel programs is a major performance bottleneck in multiprocessor systems. Shared data is protected by locks and a lot of time is spent on the competition arising at the lock hand-off. In order to be serialized, requests to the same cache line can either be bounced (NACKed) or buffered in the coherence controller. In this paper, we focus mainly on systems whose coherence ...
http://research.ac.upc.edu/pact01/program.htm
Home page for International Conference on Parallel Architectures and Compilation Techniques (PACT), Sept. 10-12, 2001, Barcelona, Spain. Call for papers. ... "Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors”.
Need to find Architectural Support For Parallel Reductions In Scalable Shared Memory Multiprocessors information?
To find needed information please read the text beloow. If you need to know more you can click on the links to visit sites with more detailed data.
