Scheduling and Parallel Computing
Lead Research Organisation:
University of Manchester
Department Name: Mathematics
Abstract
Consider a large computational task, for instance, solving a large system of linear equations. This task can be split into many smaller jobs which are then scheduled and queued at a large number of different heterogeneous computing resources and are executed in parallel. The processing requirements of the different resources (for instance CPUs and GPUs) are different, and they may well have different communication costs. In this project we will be interested in understanding the stochastic effects before designing (and implementing) novel distributed scheduling algorithms.
Organisations
Publications
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509565/1 | 01/10/2016 | 30/09/2021 | |||
| 1925936 | Studentship | EP/N509565/1 | 01/10/2017 | 31/03/2021 | Thomas McSweeney |
| Title | Static task scheduling simulator for accelerated platforms |
| Description | This is a set of Python modules and scripts that allow users to simulate the scheduling of arbitrary static task dependency graphs on user-defined accelerated computing platforms. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | None so far. |
| URL | https://github.com/mcsweeney90/heterogeneous_optimistic_finish_time |
| Description | Talk at Numerical Linear Algebra group meeting |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | I gave a short talk at the University of Manchester Numerical Linear Algebra (NLA) group meeting. The content closely followed a conference paper which I have recently submitted and the purpose was to make the members of the group aware of my current research. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://nla-group.org/meetings/ |