Concept

Job Control Language

Related publications (4)

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Nicola Marzari, Giovanni Pizzi, Martin Uhrin, Sebastiaan Philippe Huber

Over the last two decades, the field of computational science has seen a dramatic shift towards incorporating high-throughput computation and big-data analysis as fundamental pillars of the scientific discovery process. This has necessitated the developmen ...

2020

Hybrid, Job-Aware, and Preemptive Datacenter Scheduling

Pamela Isabel Delgado Borda

Scheduling in datacenters is an important, yet challenging problem. Datacenters are composed of a large number, typically tens of thousands, of commodity computers running a variety of data-parallel jobs. The role of the scheduler is to assign cluster reso ...

EPFL2018

HCloud: Resource-Efficient Provisioning in Shared Cloud Systems

Christos Kozyrakis

Cloud computing promises flexibility and high performance for users and cost efficiency for operators. To achieve this, cloud providers offer instances of different sizes, both as long-term reservations and short-term, on-demand allocations. Unfortunately, ...

Assoc Computing Machinery2016

The IceProd framework: Distributed data processing for the IceCube neutrino observatory

Shirit Cohen, Mathieu Ribordy, Matthias Wolf, Mark Tobin, Sofia Vallecorsa, Xiaoxia Bai

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of dat ...

Academic Press Inc Elsevier Science2015