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Cost-efficient workflow scheduling algorithm for applications with deadline constraint on heterogeneous clouds
X Tang, W Cao, H Tang, T Deng, J Mei… - … on Parallel and …, 2021 - ieeexplore.ieee.org
In recent years, more and more large-scale data processing and computing workflow
applications run on heterogeneous clouds. Such cloud applications with precedence …
applications run on heterogeneous clouds. Such cloud applications with precedence …
[HTML][HTML] Workflow simulation and multi-threading aware task scheduling for heterogeneous computing
Efficient application scheduling is critical for achieving high performance in heterogeneous
computing systems. This problem has proved to be NP-complete even for the homogeneous …
computing systems. This problem has proved to be NP-complete even for the homogeneous …
Workflow performance improvement using model-based scheduling over multiple clusters and clouds
In recent years, a variety of computational sites and resources have emerged, and users
often have access to multiple resources that are distributed. These sites are heterogeneous …
often have access to multiple resources that are distributed. These sites are heterogeneous …
Budget‐constraint stochastic task scheduling on heterogeneous cloud systems
X Tang, X Li, Z Fu - Concurrency and Computation: Practice …, 2017 - Wiley Online Library
In the past few years, more and more business‐to‐consumer and enterprise applications run
in the heterogeneous clouds. Such cloud bag‐of‐tasks applications are usually budget …
in the heterogeneous clouds. Such cloud bag‐of‐tasks applications are usually budget …
Exploiting performance portability in search algorithms for autotuning
Autotuning seeks the best configuration of an application by orchestrating hardware and
software knobs that affect performance on a given machine. Autotuners adopt various …
software knobs that affect performance on a given machine. Autotuners adopt various …
OpenCL kernel fusion for GPU, Xeon Phi and CPU
Kernel fusion is an optimization method, in which the code from several kernels is composed
to create a new, fused kernel. It can push the performance of kernels beyond limits given for …
to create a new, fused kernel. It can push the performance of kernels beyond limits given for …
A performance prediction framework for irregular applications
Predicting performance of applications is an important requirement for many goals-choosing
future procurements or upgrades, selecting specific optimization/implementation, requesting …
future procurements or upgrades, selecting specific optimization/implementation, requesting …
A methodology for characterizing sparse datasets and its application to simd performance prediction
Irregular computations are commonly seen in many scientific and engineering domains that
use unstructured meshes or sparse matrices. The performance of an irregular application is …
use unstructured meshes or sparse matrices. The performance of an irregular application is …
Sensing and assessing cognitive workload across multiple tasks
Workload assessment models are an important tool to develop an understanding of an
individual's limitations. Finding times of excess workload can help prevent an individual from …
individual's limitations. Finding times of excess workload can help prevent an individual from …
A systematic approach to develo** near real-time performance predictions based on physiological measures
Performance measurements using human sensing and assessment capabilities are limited
by an inability to account for the multitude of variables that regulate performance state …
by an inability to account for the multitude of variables that regulate performance state …