Articles with public access mandates - Srivatsan KrishnanLearn more
Not available anywhere: 1
A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+ FPGA Platform: A Deep Learning Case Study
DJM Moss, S Krishnan, E Nurvitadhi, P Ratuszniak, C Johnson, J Sim, ...
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
Mandates: Australian Research Council
Available somewhere: 11
MAVBench: Micro Aerial Vehicle Benchmarking
B Borojerdian, H Genc, S Krishnan, W Cui, A Faust, V Janapareddi
The 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018
Mandates: US National Science Foundation
Learning to seek: Autonomous source seeking with deep reinforcement learning onboard a nano drone microcontroller
BP Duisterhof, S Krishnan, JJ Cruz, CR Banbury, W Fu, A Faust, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 2019
Mandates: US National Science Foundation
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
S Krishnan, S Chitlangia, M Lam, Z Wan, A Faust, VJ Reddi
Transactions on Machine Learning Research 2022, 2022
Mandates: US National Science Foundation
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles
S Krishnan, Z Wan, K Bharadwaj, P Whatmough, A Faust, S Neuman, ...
55th ACM/IEEE International Symposium on Microarchitecture (MICRO 2022), 2022
Mandates: US Department of Energy, US Office of the Director of National Intelligence
The sky is not the limit: A visual performance model for cyber-physical co-design in autonomous machines
S Krishnan, Z Wan, K Bhardwaj, P Whatmough, A Faust, GY Wei, ...
IEEE Computer Architecture Letters 19 (1), 38-42, 2020
Mandates: US National Science Foundation, US Department of Defense
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
SM Neuman, B Plancher, BP Duisterhof, S Krishnan, C Banbury, ...
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022
Mandates: US National Science Foundation
Roofline model for uavs: A bottleneck analysis tool for designing compute systems for autonomous drones
S Krishnan, Z Wan, K Bhardwaj, A Faust, VJ Reddi
arXiv preprint, 2021
Mandates: US Office of the Director of National Intelligence
The role of compute in autonomous aerial vehicles
B Boroujerdian, H Genc, S Krishnan, BP Duisterhof, B Plancher, ...
ACM Transactions on Computer SystemsVolume 39 Issue 1-4, 2019
Mandates: US National Science Foundation
RL-Scope: Cross-stack profiling for deep reinforcement learning workloads
J Gleeson, M Gabel, G Pekhimenko, E de Lara, S Krishnan, ...
Proceedings of Machine Learning and Systems 3, 783-799, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
Archgym: An open-source gymnasium for machine learning assisted architecture design
S Krishnan, A Yazdanbakhsh, S Prakash, J Jabbour, I Uchendu, S Ghosh, ...
Proceedings of the 50th Annual International Symposium on Computer …, 2023
Mandates: US Department of Defense, US Office of the Director of National Intelligence
QUARL: QUANTIZATION FOR REINFORCEMENT LEARNING
M Lam, S Chitlangia, S Krishnan, Z Wan, G Barth-Maron, A Faust, ...
arXiv preprint arXiv:1910.01055, 2019
Mandates: US National Science Foundation
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