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PPOPP
2012
ACM
14 years 2 months ago
Chestnut: a GPU programming language for non-experts
Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation. GPU programming, however, can be quite difficult, limiting its use to experienced prog...
Andrew Stromme, Ryan Carlson, Tia Newhall
PDP
2006
IEEE
16 years 14 days ago
An Experimental Validation of the PRO Model for Parallel and Distributed Computation
— The Parallel Resource-Optimal (PRO) computation model was introduced by Gebremedhin et al. [2002] as a framework for the design and analysis of efficient parallel algorithms. ...
Mohamed Essaïdi, Jens Gustedt
ISCA
2007
IEEE
152views Hardware» more  ISCA 2007»
16 years 22 days ago
Carbon: architectural support for fine-grained parallelism on chip multiprocessors
Chip multiprocessors (CMPs) are now commonplace, and the number of cores on a CMP is likely to grow steadily. However, in order to harness the additional compute resources of a CM...
Sanjeev Kumar, Christopher J. Hughes, Anthony D. N...
IPPS
2009
IEEE
16 years 1 months ago
Early experiences on accelerating Dijkstra's algorithm using transactional memory
In this paper we use Dijkstra’s algorithm as a challenging, hard to parallelize paradigm to test the efficacy of several parallelization techniques in a multicore architecture....
Nikos Anastopoulos, Konstantinos Nikas, Georgios I...
ICLP
2001
Springer
15 years 11 months ago
On a Tabling Engine That Can Exploit Or-Parallelism
Tabling is an implementation technique that improves the declarativeness and expressiveness of Prolog by reusing solutions to goals. Quite a few interesting applications of tabling...
Ricardo Rocha, Fernando M. A. Silva, Vítor ...