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 running tasks using heterogenous and variable cloud resources
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
It is essential to schedule the workloads to cloud in an efficient manner. Whether user is using sin...
Optimising the execution of Bag-of-Tasks (BoT) applications on the cloud is a hard problem due to th...
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...
Part 1: Algorithms, Scheduling, Analysis, and Data MiningInternational audienceMany-Task Computing (...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
(eng) Mixed-parallelism, the combination of data- and task-parallelism, is a powerful way of increas...
Modern cloud computing systems have been using multiple processing units on servers to increase thei...
The diversity of IoT services and applications brings enormous challenges to improving the performan...
A centralized scheduler can become a bottleneck for placing the tasks of a many-task application on ...
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...
It is essential to schedule the workloads to cloud in an efficient manner. Whether user is using sin...
Optimising the execution of Bag-of-Tasks (BoT) applications on the cloud is a hard problem due to th...
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...
Part 1: Algorithms, Scheduling, Analysis, and Data MiningInternational audienceMany-Task Computing (...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
(eng) Mixed-parallelism, the combination of data- and task-parallelism, is a powerful way of increas...
Modern cloud computing systems have been using multiple processing units on servers to increase thei...
The diversity of IoT services and applications brings enormous challenges to improving the performan...
A centralized scheduler can become a bottleneck for placing the tasks of a many-task application on ...
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...
It is essential to schedule the workloads to cloud in an efficient manner. Whether user is using sin...
Optimising the execution of Bag-of-Tasks (BoT) applications on the cloud is a hard problem due to th...
DOI
Add to ORKG