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We propose three novel mathematical optimization formulations that solve the same two-type heterogeneous multiprocessor scheduling problem for a real-time taskset with hard constraints. Our formulations are based on a global scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-13 Mason Thammawichai , Eric C. Kerrigan

In recent years, as the demand for low energy and high performance computing has steadily increased, heterogeneous computing has emerged as an important and promising solution. Because most workloads can typically run most efficiently on…

Performance · Computer Science 2017-12-11 Zhuo Chen , Diana Marculescu

The increasing parallelism of many-core systems demands for efficient strategies for the run-time system management. Due to the large number of cores the management overhead has a rising impact to the overall system performance. This work…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-02-11 Daniel Gregorek , Robert Schmidt , Alberto Garcia-Ortiz

Runtime scheduling and workflow systems are an increasingly popular algorithmic component in HPC because they allow full system utilization with relaxed synchronization requirements. There are so many special-purpose tools for task…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-03 David M. Rogers

Emerging processor architectures such as GPUs and Intel MICs provide a huge performance potential for high performance computing. However developing software using these hardware accelerators introduces additional challenges for the…

Computational Physics · Physics 2016-09-21 Andreas Adelmann , Uldis Locans , Andreas Suter

Current approaches to scheduling workloads on heterogeneous systems with specialized accelerators often rely on manual partitioning, offloading tasks with specific compute patterns to accelerators. This method requires extensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-12 Zhenyu Bai , Dan Wu , Pranav Dangi , Dhananjaya Wijerathne , Venkata Pavan Kumar Miriyala , Tulika Mitra

Modern supercomputers are increasingly requiring the presence of accelerators and co-processors. However, it has not been easy to achieve good performance on such heterogeneous clusters. The key challenge has been to ensure good load…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-18 Jesse Kelly , Omar Ghattas , Hari Sundar

To improve the utility of learning applications and render machine learning solutions feasible for complex applications, a substantial amount of heavy computations is needed. Thus, it is essential to delegate the computations among several…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-29 Homa Esfahanizadeh , Alejandro Cohen , Muriel Medard

The proliferation of multi-core and multiprocessor-based computer systems has led to explosive development of parallel applications and hence the need for efficient schedulers. In this paper, we study hierarchical scheduling for malleable…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-16 Yangjie Cao , Hongyang Sun , Depei Qian , Weiguo Wu

This paper investigates co-scheduling algorithms for processing a set of parallel applications. Instead of executing each application one by one, using a maximum degree of parallelism for each of them, we aim at scheduling several…

Data Structures and Algorithms · Computer Science 2013-05-01 Guillaume Aupy , Manu Shantharam , Anne Benoit , Yves Robert , Padma Raghavan

Task graphs provide a simple way to describe scientific workflows (sets of tasks with dependencies) that can be executed on both HPC clusters and in the cloud. An important aspect of executing such graphs is the used scheduling algorithm.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-18 Jakub Beránek , Stanislav Böhm , Vojtěch Cima

Many HPC applications can be expressed as mixed-mode computations, in which each node of a computational DAG is itself a parallel computation that can be molded at runtime to allocate different amounts of processing resources. At the same…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-10 Agnes Rohlin , Henrik Fahlgren , Miquel Pericas

Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected to incorporate more specialized hardware in the future. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-05 Polykarpos Thomadakis , Nikos Chrisochoides

In this paper, we~present a novel scheduling solution for a class of System-on-Chip (SoC) systems where heterogeneous chip resources (DSP, FPGA, GPU, etc.) must be efficiently scheduled for continuously arriving hierarchical jobs with their…

Artificial Intelligence · Computer Science 2020-06-08 Tegg Taekyong Sung , Jeongsoo Ha , Jeewoo Kim , Alex Yahja , Chae-Bong Sohn , Bo Ryu

Heterogeneous multi core processors can offer diverse computing capabilities. The efficiency of Market Basket Analysis Algorithm can be improved with heterogeneous multi core processors. Market basket analysis algorithm utilises apriori…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-24 Aashiha Priyadarshni. L

The emergence of multicore and manycore processors is set to change the parallel computing world. Applications are shifting towards increased parallelism in order to utilise these architectures efficiently. This leads to a situation where…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-01 Ashkan Tousimojarad , Wim Vanderbauwhede

Coded distributed computing framework enables large-scale machine learning (ML) models to be trained efficiently in a distributed manner, while mitigating the straggler effect. In this work, we consider a multi-task assignment problem in a…

Information Theory · Computer Science 2019-05-21 Yuxuan Sun , Junlin Zhao , Sheng Zhou , Deniz Gündüz

The arrival of heterogeneous (or hybrid) multicore architectures has brought new performance trade-offs for applications, and efficiency opportunities to systems. They have also increased the challenges related to thread scheduling, as…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-11 Yacine Idouar , Adrien Cassagne , Laércio Lima Pilla , Julien Sopena , Manuel Bouyer , Diane Orhan , Lionel Lacassagne , Dimitri Galayko , Denis Barthou , Christophe Jego

Growing power dissipation due to high performance requirement of processor suggests multicore processor technology, which has become the technology for present and next decade. Research advocates asymmetric multi-core processor system for…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-15 Alan David

The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds. Such an application requires a partitioning step. For…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-16 Christophe Cérin , Jean-Christophe Dubacq , Jean-Louis Roch , the SafeScale Collaboration