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This Combined Synopsis/Solicitation opportunity from United States (duns # 02-1877998) International Trade Commission was posted on September 9, 2020. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Increase the computational efficiency of the gravity model for the United States International Trade Commission

Awarded
34300020Q0026Federal

Contract Overview

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General Info

Contract Value

$20,000

NAICS

541511 - Custom Computer Programming Services

Place of Performance

DC

Set-Aside

NONE

Award Issued Date

Documents

1

34300020Q0026.pdf

PDF

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Timeline

1 update
PhaseAwarded
Posted

Combined Synopsis

Notice updated

Response deadline changed from Sep 8, 2020 to Sep 17, 2020. The notice description changed.

Awarded

Contract was awarded

Submission Closed

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Organization & Contact Information

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AgencyUnited States (duns # 02-1877998) International Trade Commission → United States International Trade Commission
Contacts1 person available
OfficeWASHINGTON, DC, 20436, USA

Full Description

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(i) This is a combined synopsis/solicitation for commercial items prepared in accordance with the format in Subpart 12.6, as supplemented with additional information included in this notice. This announcement constitutes the only solicitation; quotations are being requested and a written solicitation will not be issued. UPDATE: On 9/8/2020, this Solicitation has been re-opened, and bids are now due on 9/17/2020 at 11 AM est. (ii) Solicitation #: 34300020Q0026 The purpose of this Request for Quotation (RFQ) is to increase the computational efficiency of the gravity model for the United States International Trade Commission (USITC or Commission). The gravity model is currently estimated at the Commission using the GME Python package developed by the Commission staff. This project will analyze the computing performance of the gravity model and identify software and hardware computational bottlenecks (components that limit the performance of the code). It will then provide solutions that increase the computing efficiency and decrease compute times of the gravity model.

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Miguel
Hillary
Keith Deutsch
Christine

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