SBIR/STTR Research Award

Spiking Neural Network Modeler (SpiNNMo) Phase II

Award identifier c8d2b62d4973eba01c15c7ea0e3134623b4b3d084259d2a92d4ac715263a7e42Awarding agency Department of Defense · Navy

Award amount

$2,049,854

Program and phase

SBIR · Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
CHROMOLOGIC LLC
Proposal award date
2022-06-16
Contract end date
2027-03-08
UEI
D9EVNTKKWLF3
Solicitation number
20.2
Topic code
N202-108

Research abstract

In order to meet the Navy’s need for a spiking neural network testing platform, ChromoLogic proposes to develop a Spiking Neural Network Modeler (SpiNNMo) capable of simulating a variety of neuromorphic hardware platforms. SpiNNMo is able to extract relevant performance parameters from a neuromorphic chip and then predict the chip’s performance on new networks and data. In this way SpiNNMo can predict accuracy, latency and energy usage for a wide variety of hardware platforms on a given neural network and dataset. This will allow the Navy to test the performance of new spiking neural network architectures and chipsets before the chips are widely available and therefore speed neuromorphic adoption.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

93 SBIR/STTR records share this UEI (2007–2025). Reported award amounts total $49,103,552. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Defense

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