Notice Information
Notice Title
MeerTRAP GPU cluster
Notice Description
The MeerTRAP project is supported by the European Research Council, Advanced Grant, awarded to Prof. B.W. Stappers (University of Manchester). The MeeTRAP group consists of four postdoctoral researchers and three PhD students, all placed at the University of Manchester. MeerTRAP will be a real-time, fully-commensal survey for repeating and one-off radio signals originating from pulsars and other fast radio transients using the 64-dish MeerKAT telescope in South Africa. MeerTRAP will piggy-back all the other large surveys performed by MeerKAT, and reuse their data in a completely different way to achieve its goals. Having access to thousands of hours of observing time at its disposal, MeerTRAP must be supported by a high-availability, high-performance GPU cluster to allow for the real-time searching of the incoming data, using optimized GPU pipelines developed by the group. MeerKAT is a precursor telescope for the Square Kilometre Array. The MeerTRAP GPU cluster will be a real-time, commensal processing system hosted in the KAPB, that will process data acquired with the MeerKAT radio telescope in South Africa. MeerKAT consists of 64 dishes and has the ability to look at many different locations ("beams") in the sky simultaneously. When MeerKAT will be observing, a beamformer (the hardware system responsible for creating these beams), will create 400 beams on the sky simultaneously, with each of them being in essence a data stream. The MeerTRAP cluster will receive these 400 data streams and every GPU in it will be responsible for the real time processing of 3 beams (actually, 396 beams on the 132 GPUs expected to populate the cluster)*. The MeerTRAP cluster will consist a leaf node connected to the spine of the MeerKAT multicast network. Additional information: To express an interest in this project please visit the website below where you will need to register to obtain tender documentation. https://in-tendhost.co.uk/universityofmanchester/aspx/Home Funding Type (WEFO or EU) : EU Funding Description The MeerTRAP project is supported by the European Research Council, Advanced Grant, awarded to Prof. B.W. Stappers (University of Manchester). The MeeTRAP group consists of four postdoctoral researchers and three PhD students, all placed at the University of Manchester. MeerTRAP will be a real-time, fully-commensal survey for repeating and one-off radio signals originating from pulsars and other fast radio transients using the 64-dish MeerKAT telescope in South Africa. MeerTRAP will piggy-back all the other large surveys performed by MeerKAT, and reuse their data in a completely different way to achieve its goals. Having access to thousands of hours of observing time at its disposal, MeerTRAP must be supported by a high-availability, high-performance GPU cluster to allow for the real-time searching of the incoming data, using optimized GPU pipelines developed by the group. MeerKAT is a precursor telescope for the Square Kilometre Array. The MeerTRAP GPU cluster will be a real-time, commensal processing system hosted in the KAPB, that will process data acquired with the MeerKAT radio telescope in South Africa. MeerKAT consists of 64 dishes and has the ability to look at many different locations ("beams") in the sky simultaneously. When MeerKAT will be observing, a beamformer (the hardware system responsible for creating these beams), will create 400 beams on the sky simultaneously, with each of them being in essence a data stream. The MeerTRAP cluster will receive these 400 data streams and every GPU in it will be responsible for the real time processing of 3 beams (actually, 396 beams on the 132 GPUs expected to populate the cluster)*. The MeerTRAP cluster will consist a leaf node connected to the spine of the MeerKAT multicast network. Is a Recurrent Procurement Type? : No
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-b5fd17-05fe9bff-0827-4de1-9365-88197f5614a5
- Publication Source
- Contracts Finder
- Latest Notice
- https://www.contractsfinder.service.gov.uk/Notice/d22442e5-61c4-44f6-8a71-18c5c39fcea4
- Current Stage
- Tender
- All Stages
- Tender
Procurement Classification
- Notice Type
- Tender Notice
- Procurement Type
- Standard
- Procurement Category
- Goods
- Procurement Method
- Open
- Procurement Method Details
- Open procedure (above threshold)
- Tender Suitability
- Not specified
- Awardee Scale
- Not specified
Common Procurement Vocabulary (CPV)
- CPV Divisions
48 - Software package and information systems
-
- CPV Codes
48800000 - Information systems and servers
Notice Value(s)
- Tender Value
- Not specified
- Lots Value
- Not specified
- Awards Value
- Not specified
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 8 Dec 20178 years ago
- Submission Deadline
- 12 Jan 2018Expired
- Future Notice Date
- Not specified
- Award Date
- Not specified
- Contract Period
- 30 Jan 2018 - 28 Mar 2018 1-6 months
- Recurrence
- Not specified
Notice Status
- Tender Status
- Active
- Lots Status
- Not Specified
- Awards Status
- Not Specified
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- THE UNIVERSITY OF MANCHESTER
- Contact Name
- Available with D3 Tenders Premium →
- Contact Email
- Available with D3 Tenders Premium →
- Contact Phone
- Available with D3 Tenders Premium →
Buyer Location
- Locality
- MANCHESTER
- Postcode
- M13 9PL
- Post Town
- Manchester
- Country
- England
-
- Major Region (ITL 1)
- TLD North West (England)
- Basic Region (ITL 2)
- TLD3 Greater Manchester
- Small Region (ITL 3)
- TLD33 Manchester
- Delivery Location
- Not specified
-
- Local Authority
- Manchester
- Electoral Ward
- Hulme
- Westminster Constituency
- Manchester Rusholme
Further Information
Notice Documents
-
https://www.contractsfinder.service.gov.uk/Notice/d22442e5-61c4-44f6-8a71-18c5c39fcea4
8th December 2017 - Opportunity notice on Contracts Finder -
https://in-tendhost.co.uk/universityofmanchester/aspx/
Additional information on how to apply for this contract
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
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