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Onur Mutlu
Carnegie-Mellon University
$1,375,090
Attributed
$1,375,090
Total exposure
1
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $369.3K · FY2011–14$500K$375K$250K$125K$0
'11
'12
'13
'14
Funding mix
By agency
NIH$1,375,090 · 1
By mechanism
R01$1,375,090 · 1
Top collaborators
No co-investigators on record.
Most similar at Carnegie-Mellon University
Same institution · by research overlap
- Eric P Xing$7,028,870
- Matthew A Smith$8,729,786
- Byron M. Yu$5,562,164
- Lillian T Chong$1,838,174
- Alison L Barth$12,762,748
Others in their field
Top investigators on “Abstracting”
- David H Reitze · University Of Florida$238,483,333
- Albert Lazzarini · California Institute Of Technology$238,483,333
- James Dennis Neaton · Northwestern University$234,418,201
- Constance Ann Benson · University Of California, San Diego$208,006,319
- David Heimbrook · Leidos Biomedical Research, Inc.$165,185,854
- Elizabeth A Thom · George Washington University$140,786,526
Research focus
AbstractingGenesAlgorithmsArchitectureAreaAtlasesBaseCluster ComputingComparativeComputer ArchitecturesComputer InfrastructureComputer SoftwareComputing ResourcesConsumptionCostData AnalysesDependenceDesignDisease PathwayDna SequenceEngineeringEpigenetic VariationGene Expression ProfileGenetic
Grant awards (4)
Novel algorithms and hardware designs for ultra-fast next-gen sequence analysis$333,000
R01 · FY2014 · HG · contact PI
Novel algorithms and hardware designs for ultra-fast next-gen sequence analysis$325,891
R01 · FY2013 · HG · contact PI
Novel algorithms and hardware designs for ultra-fast next-gen sequence analysis$346,949
R01 · FY2012 · HG · contact PI
Novel algorithms and hardware designs for ultra-fast next-gen sequence analysis$369,250
R01 · FY2011 · HG · contact PI