SBIR/STTR Research Award

Next-Generation Technology for the Extremely Efficient Storage, Distribution, and Processing of Nuclear Physics Data

Award identifier 2b3f186b7bb44a1532935ac988578b143e27ac63c2a6018e4f9cea793b4e67e6Awarding agency Department of Energy

Award amount

$155,000

Program and phase

SBIR · Phase I

Award year

2018

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Accelogic, LLC
Proposal award date
2018-04-09
Contract end date
2019-01-08
UEI
LJGLU5UUYEC8
Solicitation number
DE-FOA-0001770
Topic code
27a

Research abstract

Millions of dollars are spent every year in generating the tons of data that are necessary for addressing nuclear physics grand challenge problems at DOE facilities- Due to inherent technical and financial limitations at the “last- mile” of the data delivery pipeline, only a small fraction of these expensive Peta bytes of data is available for immediate access by end-users at any given time- This not only renders the users’ work inefficient, but also risks the waste of significant amounts of information that could very well contain the keys to answering grand challenge questions- This project aims at solving this issue by providing the ground-breaking data compression technology able to multiply the capacity of existing (and future) last-mile “live storage” facilities by factors larger than 4x and up to 9x without any additional investment in hardware- The technology, which will be packaged as an open-source set of tools, will be integrated with ROOT/IO and will provide the users with full control in the form of easy to understand/use/modify/adapt according to the specific needs and technical sophistication of each user- The data compression technology is based on a novel and very rich theory of application-driven losslesscompression that systematically analyzes the data in search of hidden redundancies that are not easily detected by traditional general-purpose compression- In addition, the theory provides fundamental mechanisms for achieving unprecedented lossless compression factors from a thorough understanding of the peculiar —and rich— interdependencies among the precisions of the data- This theory is complemented by very efficient and portable software implementations that we have developed in the last five years and which have already made paradigm- shifting impact of programs at NASA and DoD- Those implementations include the fastest compressors/decompressors and highest compression factors in the world- Already successful for network-data and in-memory compression, this project will realize the power of the proposed data compression technology for nuclear physics I/O and storage-

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

25 SBIR/STTR records share this UEI (2005–2019). Reported award amounts total $10,682,952. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.