A survey of algorithmic skeleton frameworks: high‐level structured parallel programming enablers
H González‐Vélez, M Leyton - Software: Practice and …, 2010 - Wiley Online Library
Structured parallel programs ought to be conceived as two separate and complementary
entities: computation, which expresses the calculations in a procedural manner, and …
entities: computation, which expresses the calculations in a procedural manner, and …
Fast conical hull algorithms for near-separable non-negative matrix factorization
A Kumar, V Sindhwani… - … Conference on Machine …, 2013 - proceedings.mlr.press
The separability assumption (Arora et al., 2012; Donoho & Stodden, 2003) turns non-
negative matrix factorization (NMF) into a tractable problem. Recently, a new class of …
negative matrix factorization (NMF) into a tractable problem. Recently, a new class of …
Lifeline-based global load balancing
On shared-memory systems, Cilk-style work-stealing has been used to effectively parallelize
irregular task-graph based applications such as Unbalanced Tree Search (UTS). There are …
irregular task-graph based applications such as Unbalanced Tree Search (UTS). There are …
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce
In the last decade, advances in data collection and storage technologies have led to an
increased interest in designing and implementing large-scale parallel algorithms for …
increased interest in designing and implementing large-scale parallel algorithms for …
A work-stealing scheduler for X10's task parallelism with suspension
O Tardieu, H Wang, H Lin - ACM Sigplan Notices, 2012 - dl.acm.org
The X10 programming language is intended to ease the programming of scalable
concurrent and distributed applications. X10 augments a familiar imperative object-oriented …
concurrent and distributed applications. X10 augments a familiar imperative object-oriented …
Work-stealing without the baggage
Work-stealing is a promising approach for effectively exploiting software parallelism on
parallel hardware. A programmer who uses work-stealing explicitly identifies potential …
parallel hardware. A programmer who uses work-stealing explicitly identifies potential …
On the merits of distributed work-stealing on selective locality-aware tasks
Improving the performance of work-stealing load-balancing algorithms in distributed shared-
memory systems is challenging. These algorithms need to overcome high costs of …
memory systems is challenging. These algorithms need to overcome high costs of …
A study of shared-memory parallelism in a multifrontal solver
JY L'Excellent, WM Sid-Lakhdar - Parallel Computing, 2014 - Elsevier
We introduce shared-memory parallelism in a parallel distributed-memory solver, targeting
multi-core architectures. Our concern in this paper is pure shared-memory parallelism …
multi-core architectures. Our concern in this paper is pure shared-memory parallelism …
A runtime implementation of openmp tasks
J LaGrone, A Aribuki, C Addison… - International Workshop on …, 2011 - Springer
Many task-based programming models have been developed and refined in recent years to
support application development for shared memory platforms. Asynchronous tasks are a …
support application development for shared memory platforms. Asynchronous tasks are a …
Scaling the solution of large sparse linear systems using multifrontal methods on hybrid shared-distributed memory architectures
MWS Lakhdar - 2014 - inria.hal.science
The solution of sparse systems of linear equations is at the heart of numerous
applicationfields. While the amount of computational resources in modern architectures …
applicationfields. While the amount of computational resources in modern architectures …