Suchergebnisse - "Scheduling and task partitioning"

Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing von Sahni, Yuvraj, Cao, Jiannong, Yang, Lei, Ji, Yusheng

“… Collaborative edge computing (CEC) is a recent popular paradigm where different edge devices collaborate by sharing data and computation resources. One of the …”
Volltext

PaRSEC: Exploiting Heterogeneity to Enhance Scalability von Bosilca, George, Bouteiller, Aurelien, Danalis, Anthony, Faverge, Mathieu, Herault, Thomas, Dongarra, Jack J.

“… New high-performance computing system designs with steeply escalating processor and core counts, burgeoning heterogeneity and accelerators, and increasingly …”
Volltext

Performant, Multi-Objective Scheduling of Highly Interleaved Task Graphs on Heterogeneous System on Chip Devices von Mack, Joshua, Arda, Samet E., Ogras, Umit Y., Akoglu, Ali

“… Performance-, power-, and energy-aware scheduling techniques play an essential role in optimally utilizing processing elements (PEs) of heterogeneous systems …”
Volltext

Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions von Young Choon Lee, Zomaya, A. Y.

“… Traditionally, the primary performance goal of computer systems has focused on reducing the execution time of applications while increasing throughput. This …”
Volltext

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems von Hoffmann, Jose Luis Conradi, Frohlich, Antonio Augusto

“… In this article, we present an Online Learning Artificial Neural Network (ANN) model that is able to predict the performance of tasks in lower frequency levels …”
Volltext

CD-MSA: Cooperative and Deadline-Aware Scheduling for Efficient Multi-Tenancy on DNN Accelerators von Wang, Chunyang, Bai, Yuebin, Sun, Desen

“… With DNN turning into the backbone of AI cloud services and propelling the emergence of INFerence-as-a-Service (INFaaS), DNN-specific accelerators have become …”
Volltext

DNN Partitioning for Inference Throughput Acceleration at the Edge von Feltin, Thomas, Marcho, Leo, Cordero-Fuertes, Juan-Antonio, Brockners, Frank, Clausen, Thomas H.

“… Deep neural network (DNN) inference on streaming data requires computing resources to satisfy inference throughput requirements. However, latency and privacy …”
Volltext

A Survey of Desktop Grid Scheduling von Ivashko, Evgeny, Chernov, Ilya, Nikitina, Natalia

“… The paper surveys the state of the art of task scheduling in Desktop Grid computing systems. We describe the general architecture of a Desktop Grid system and …”
Volltext

MEMPHA: Model of Exascale Message-Passing Programs on Heterogeneous Architectures von Koohi, Sina Zangbari, Hamid, Nor Asilah Wati Abdul, Othman, Mohamed, Ibragimov, Gafurjan

“… Delivering optimum performance on a parallel computer is highly dependant on the efficiency of the scheduling and mapping procedure. If the composition of the …”
Volltext

Schedulability Analysis of Global Scheduling Algorithms on Multiprocessor Platforms von Bertogna, M., Cirinei, M., Lipari, G.

“… This paper addresses the schedulability problem of periodic and sporadic real-time task sets with constrained deadlines preemptively scheduled on a …”
Volltext

SLearn: A Case for Task Sampling Based Learning for Cluster Job Scheduling von Jajoo, Akshay, Hu, Y. Charlie, Lin, Xiaojun, Deng, Nan

“… The ability to accurately estimate job runtime properties allows a scheduler to effectively schedule jobs. State-of-the-art online cluster job schedulers use …”
Volltext

Hybrid Dataflow/von-Neumann Architectures von Yazdanpanah, Fahimeh, Alvarez-Martinez, Carlos, Jimenez-Gonzalez, Daniel, Etsion, Yoav

“… General purpose hybrid dataflow/von-Neumann architectures are gaining attraction as effective parallel platforms. Although different implementations differ in …”
Volltext

On Achieving Energy Efficiency and Reducing CO2 Footprint in Cloud Computing von Wajid, Usman, Cappiello, Cinzia, Plebani, Pierluigi, Pernici, Barbara, Mehandjiev, Nikolay, Vitali, Monica, Gienger, Michael, Kavoussanakis, Kostas, Margery, David, Garcia Perez, David, Sampaio, Pedro

“… With the increasing popularity of the cloud computing model and rapid proliferation of cloud infrastructures there are increasing concerns about energy …”
Volltext

MS-CLS: An Effective Partitioning and Placement Metaheuristic for Wafer-Scale Physics Modeling von Luo, Canhui, Su, Zhouxing, Lu, Zhipeng

“… Finite element method (FEM) is one of the most successful numerical approaches for solving partial differential equations. It discretizes the target space into …”
Volltext

Energy Efficient Scheduling of Real-Time Tasks on Multicore Processors von Seo, Euiseong, Jeong, Jinkyu, Park, Seonyeong, Lee, Joonwon

“… Multicore processors deliver a higher throughput at lower power consumption than unicore processors. In the near future, they will thus be widely used in …”
Volltext

KiloCore: A Fine-Grained 1,000-Processor Array for Task-Parallel Applications von Bohnenstiehl, Brent, Stillmaker, Aaron, Pimentel, Jon, Andreas, Timothy, Liu, Bin, Tran, Anh, Adeagbo, Emmanuel, Baas, Bevan

“… Many important applications can be expressed as a group of fine-grained interconnected tasks, in which individual tasks require under 100 instructions and …”
Volltext

Performance Analysis of Power-Aware Task Scheduling Algorithms on Multiprocessor Computers with Dynamic Voltage and Speed von Li, Keqin

“… Task scheduling on multiprocessor computers with dynamically variable voltage and speed is investigated as combinatorial optimization problems, namely, the …”
Volltext

Communication contention in task scheduling von Sinnen, O., Sousa, L.A.

“… Task scheduling is an essential aspect of parallel programming. Most heuristics for this NP-hard problem are based on a simple system model that assumes fully …”
Volltext

Security-Aware Resource Allocation for Real-Time Parallel Jobs on Homogeneous and Heterogeneous Clusters von Xie, Tao, Qin, Xiao

“… Security is increasingly becoming an important issue in the design of real-time parallel applications, which are widely used in the industry and academic …”
Volltext

Aging-Aware Energy-Efficient Workload Allocation for Mobile Multimedia Platforms von Paterna, F., Acquaviva, A., Benini, L.

“… Multicore platforms are characterized by increasing variability and aging effects that imply heterogeneity in core performance, energy consumption, and …”
Volltext