Sotabase

Career

· Assistant Professor, Cornell Tech2023–
· Visiting Research Scientist, Facebook AI Research (FAIR)2018–2023
· PhD in Computer Science, Harvard University2016–2022
· Hardware Design and Verification Engineering Intern, Algo-Logic Systems2015–
· B.S. in Electrical & Computer Engineering, Computer Science, Cornell University2012–2016

Publications (55)

Deep Learning Recommendation Model for Personalization and Recommendation Systems
arXiv.org · 2019
855
cited
Sustainable AI: Environmental Implications, Challenges and Opportunities
Conference on Machine Learning and Systems · 2021
553
cited
MLPerf Training Benchmark
Conference on Machine Learning and Systems · 2019
352
cited
Ares: A framework for quantifying the resilience of deep neural networks
Design Automation Conference · 2018
329
cited
Chasing Carbon: The Elusive Environmental Footprint of Computing
International Symposium on High-Performance Computer Architecture · 2020
327
cited
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation
International Symposium on High-Performance Computer Architecture · 2019
316
cited
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
International Symposium on Computer Architecture · 2019
251
cited
ACT: designing sustainable computer systems with an architectural carbon modeling tool
International Symposium on Computer Architecture · 2022
229
cited
DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference
International Symposium on Computer Architecture · 2020
200
cited
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters
International Conference on Architectural Support for Programming Languages and Operating Systems · 2022
150
cited
Rosetta: A Realistic High-Level Synthesis Benchmark Suite for Software Programmable FPGAs
Symposium on Field Programmable Gate Arrays · 2018
130
cited
RecSSD: near data processing for solid state drive based recommendation inference
International Conference on Architectural Support for Programming Languages and Operating Systems · 2021
127
cited
MASR: A Modular Accelerator for Sparse RNNs
International Conference on Parallel Architectures and Compilation Techniques · 2019
48
cited
Weightless: Lossy Weight Encoding For Deep Neural Network Compression
International Conference on Machine Learning · 2017
41
cited
Dynamic Hazard Resolution for Pipelining Irregular Loops in High-Level Synthesis
Symposium on Field Programmable Gate Arrays · 2017
40
cited
Cross-Stack Workload Characterization of Deep Recommendation Systems
IEEE International Symposium on Workload Characterization · 2020
38
cited
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation
Micro · 2019
33
cited
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance
Micro · 2021
33
cited
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
International Symposium on High-Performance Computer Architecture · 2022
31
cited
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators
Symposium on VLSI Circuits · 2019
30
cited
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Udit Gupta | Researcher Profile | Sotabase | Sotabase