Slides from WAMTA 2023, Workshop on Asynchronous and Many Task Applications. We presented a summary of our approach to achieve fine grained parallelism with short runing tasks using heterogenous and variable cloud resources
Cloud computing is an emerging Internet-based computing paradigm that aims to provide many on-demand...
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
Modern cloud computing systems have been using multiple processing units on servers to increase thei...
Slides from WAMTA 2023, Workshop on Asynchronous and Many Task Applications. We presented a summary ...
Slides from WAMTA 2023, Workshop on Asynchronous and Many Task Applications. We presented a summary ...
Many-Task Computing (MTC) is a widely used computing paradigm for large-scale task-parallel processi...
International audienceThe use of large distributed computing infrastructure is a means to address th...
Cloud computing can enable the unraveling of new scientific breakthroughs. We will eventually arrive...
Many-task computing (MTC) is a widely used computing paradigm for complex scientific applications, w...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
Part 1: Algorithms, Scheduling, Analysis, and Data MiningInternational audienceMany-Task Computing (...
A centralized scheduler can become a bottleneck for placing the tasks of a many-task application on ...
(eng) Mixed-parallelism, the combination of data- and task-parallelism, is a powerful way of increas...
The diversity of IoT services and applications brings enormous challenges to improving the performan...
It is essential to schedule the workloads to cloud in an efficient manner. Whether user is using sin...
Cloud computing is an emerging Internet-based computing paradigm that aims to provide many on-demand...
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
Modern cloud computing systems have been using multiple processing units on servers to increase thei...
Slides from WAMTA 2023, Workshop on Asynchronous and Many Task Applications. We presented a summary ...
Slides from WAMTA 2023, Workshop on Asynchronous and Many Task Applications. We presented a summary ...
Many-Task Computing (MTC) is a widely used computing paradigm for large-scale task-parallel processi...
International audienceThe use of large distributed computing infrastructure is a means to address th...
Cloud computing can enable the unraveling of new scientific breakthroughs. We will eventually arrive...
Many-task computing (MTC) is a widely used computing paradigm for complex scientific applications, w...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
Part 1: Algorithms, Scheduling, Analysis, and Data MiningInternational audienceMany-Task Computing (...
A centralized scheduler can become a bottleneck for placing the tasks of a many-task application on ...
(eng) Mixed-parallelism, the combination of data- and task-parallelism, is a powerful way of increas...
The diversity of IoT services and applications brings enormous challenges to improving the performan...
It is essential to schedule the workloads to cloud in an efficient manner. Whether user is using sin...
Cloud computing is an emerging Internet-based computing paradigm that aims to provide many on-demand...
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
Modern cloud computing systems have been using multiple processing units on servers to increase thei...
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