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Pramesh Pandey
ORCID
Publication Activity (10 Years)
Years Active: 2018-2021
Publications (10 Years): 8
Top Topics
Error Resilience
Energy Efficiency
Computing Systems
Video Coding
Top Venues
DAC
IEEE Trans. Very Large Scale Integr. Syst.
IEEE Embed. Syst. Lett.
ISLPED
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Publications
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Noel Daniel Gundi
,
Tahmoures Shabanian
,
Prabal Basu
,
Pramesh Pandey
,
Sanghamitra Roy
,
Koushik Chakraborty
EFFORT: A Comprehensive Technique to Tackle Timing Violations and Improve Energy Efficiency of Near-Threshold Tensor Processing Units.
IEEE Trans. Very Large Scale Integr. Syst.
29 (10) (2021)
Pramesh Pandey
,
Noel Daniel Gundi
,
Koushik Chakraborty
,
Sanghamitra Roy
UPTPU: Improving Energy Efficiency of a Tensor Processing Unit through Underutilization Based Power-Gating.
DAC
(2021)
Prabal Basu
,
Pramesh Pandey
,
Aatreyi Bal
,
Chidhambaranathan Rajamanikkam
,
Koushik Chakraborty
,
Sanghamitra Roy
TITAN: Uncovering the Paradigm Shift in Security Vulnerability at Near-Threshold Computing.
IEEE Trans. Emerg. Top. Comput.
8 (4) (2020)
Pramesh Pandey
,
Prabal Basu
,
Koushik Chakraborty
,
Sanghamitra Roy
GreenTPU: Predictive Design Paradigm for Improving Timing Error Resilience of a Near-Threshold Tensor Processing Unit.
IEEE Trans. Very Large Scale Integr. Syst.
28 (7) (2020)
Noel Daniel Gundi
,
Tahmoures Shabanian
,
Prabal Basu
,
Pramesh Pandey
,
Sanghamitra Roy
,
Koushik Chakraborty
,
Zhen Zhang
EFFORT: Enhancing Energy Efficiency and Error Resilience of a Near-Threshold Tensor Processing Unit.
ASP-DAC
(2020)
Pramesh Pandey
,
Prabal Basu
,
Koushik Chakraborty
,
Sanghamitra Roy
GreenTPU: Improving Timing Error Resilience of a Near-Threshold Tensor Processing Unit.
DAC
(2019)
Pramesh Pandey
,
Asmita Pal
,
Koushik Chakraborty
,
Sanghamitra Roy
Reliability and Uniformity Enhancement in 8T-SRAM based PUFs operating at NTC.
ISLPED
(2018)
Prabal Basu
,
Chidhambaranathan Rajamanikkam
,
Aatreyi Bal
,
Pramesh Pandey
,
Trevor Carter
,
Koushik Chakraborty
,
Sanghamitra Roy
FIFA: Exploring a Focally Induced Fault Attack Strategy in Near-Threshold Computing.
IEEE Embed. Syst. Lett.
10 (4) (2018)