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Job-aware Scheduling in Eagle: Divide and Stick to Your Probes

Publications associées (32)

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We present a work-stealing algorithm for runtime scheduling of data-parallel operations in the context of shared-memory architectures on data sets with highly-irregular workloads that are not known a priori to the scheduler. This scheduler can parallelize ...

Springer-Verlag Berlin2014

Recent trends have led hardware manufacturers to place multiple processing cores on a single chip, making parallel programming the intended way of taking advantage of the increased processing power. However, bringing concurrency to average programmers is c ...

EPFL2014

Quasar: Resource-Efficient and QoS-Aware Cluster Management

Christos Kozyrakis

Cloud computing promises flexibility and high performance for users and high cost-efficiency for operators. Nevertheless, most cloud facilities operate at very low utilization, hurting both cost effectiveness and future scalability. We present Quasar, a cl ...

2014

A tetrameric neptunyl(v) cluster supported by a Schiff base ligand

Marinella Mazzanti

The first tetrameric cation-cation neptunyl(v) cluster, [NpO 2(salen) 4(μ 8-K) 2][K(18C6)Py] 2, has been synthesized in non-aqueous solution from the reaction of [(NpO 2Py 5)(KI 2Py 2)] n with K 2salen and its structure determined in the solid state and in ...

2012

Due to high scaling order of MP2 and CCSD(T) methods, it is either difficult or at times even impossible to treat even moderately sized molecular systems with elaborate basis sets such as aug-cc-pVXZ (X = D, T, Q). In the present work, several structures o ...

2011

Greedy Scheduling for Distributed Computing Clusters

Amin Karbasi, Milan Vojnovic

Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks associated with a job are received at a scheduler. In an embodiment an index can be computed for each combination of tasks and processors and stored in a looku ...

2011

Efficient System-Enforced Deterministic Parallelism

Bryan Alexander Ford

Deterministic execution offers many benefits for debugging, fault tolerance, and security. Current methods of executing parallel programs deterministically, however, often incur high costs, allow misbehaved software to defeat repeatability, and transform t ...

2010

The combination of low cost clusters and multicore processors lowers the barrier for accessing massive amounts of computing power. As computational sciences advance, the use of in silico simulations to complement in vivo experiments promises parallel progr ...

EPFL2009

A new parallelized 3D SPH model: resolution of water entry problems ans scalability study

Pierre Maruzewski

The parallelized model is first presented and a scalability study is achieved. For computational time saving and memory requirement reasons, the implementation of a three dimensional SPH code implies the need for its parallelization, in order to make possi ...

2008

In the world of High Performance Computing (newly renamed "High Productivity Computing"), where the race for performance is on, where the hunt for the last Flop rages and where the developers swear by the Cult of Power, the different applications have diff ...

EPFL2008