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Michael Ferdman
Suny At Stony Brook
$1,597,520
Attributed
$2,840,948
Total exposure
10
Grants
7
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.
Funding over time
peak $1.1M · FY2014–20$2M$1.5M$1M$500K$0
'14
'15
'16
'17
'18
'19
'20
Funding mix
By agency
NSF$2,840,948 · 10
By mechanism
—$2,840,948 · 10
Top collaborators
- Peter Milder3 shared
- C. R Ramakrishnan1 shared
- Donald E Porter1 shared
- Hansen Schwartz1 shared
- Iv Ramakrishnan1 shared
- Michael A Bender1 shared
- Nick Nikiforakis1 shared
- Nima Honarmand1 shared
Grant awards (10)
SHF: Small: Sparsity-Aware Hardware Accelerators for Natural Language Processing with Transformers$499,999
· FY2020 · CSE
FoMR: IPC Improvement through Hardware Memorization$199,998
· FY2019 · CSE · contact PI
SPX: Collaborative Research: Harnessing the Power of High-Bandwidth Memory via Provably Efficient Parallel Algorithms$500,000
· FY2017 · CSE · contact PI
EAGER: Measuring the Stability of Web Links$89,200
· FY2017 · CSE
Student Travel - IEEE International Symposium on Workload Characterization (IISWC)$15,000
· FY2017 · CSE · contact PI
EAGER: Preliminary Study to Demonstrate Feasibility and Advantages of Massively Parallel Server Processors$145,895
· FY2016 · CSE
XPS:FULL:DSD: Collaborative Research: FPGA Cloud Platform for Deep Learning, Applications in Computer Vision$574,044
· FY2015 · CSE · contact PI
CAREER: Leveraging temporal streams for micro-architectural innovation in data center servers$500,000
· FY2015 · CSE · contact PI
II-New: Secure and Efficient Cloud Infrastructure and Accessibility Services$221,812
· FY2014 · CSE · contact PI
Preliminary Study to Demonstrate the Performance and Power Advantages of FPGAs over GPUs for Deep Learning in Computer Vision$95,000
· FY2014 · CSE · contact PI