activity
20192023
most citedOne Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers

26 citations · 30 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AR2023

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design

Srivatsan Krishnan, Amir Yazdanbaksh, Shvetank Prakash +8

Machine learning is a prevalent approach to tame the complexity of design space exploration for domain-specific architectures. Using ML for design space exploration poses challenge…

cs.AR2022

FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration

Behzad Boroujerdian, Ying Jing, Amit Kumar +7

Domain-specific SoCs (DSSoCs) are attractive solutions for domains with stringent power/performance/area constraints; however, they suffer from two fundamental complexities. On the…

cs.RO2021

RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity

Behzad Boroujerdian, Radhika Ghosal, Jonathan Cruz +2

The limited onboard energy of autonomous mobile robots poses a tremendous challenge for practical deployment. Hence, efficient computing solutions are imperative. A crucial shortco…

cs.LG2019★ 26 cited

One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers

Matthew Halpern, Behzad Boroujerdian, Todd Mummert +2

Today's cloud service architectures follow a "one size fits all" deployment strategy where the same service version instantiation is provided to the end users. However, consumers a…

cs.RO2019★ 1 cited

The Role of Compute in Autonomous Aerial Vehicles

Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan +7

Autonomous-mobile cyber-physical machines are part of our future. Specifically, unmanned-aerial-vehicles have seen a resurgence in activity with use-cases such as package delivery.…

cs.RO2019★ 1 cited

Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation

Srivatsan Krishnan, Behzad Boroujerdian, William Fu +2

We introduce Air Learning, an open-source simulator, and a gym environment for deep reinforcement learning research on resource-constrained aerial robots. Equipped with domain rand…

cs.RO2019★ 2 cited

MAVBench: Micro Aerial Vehicle Benchmarking

Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan +3

Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitous in everyday life. Among them, Micro Aerial Vehicles (MAVs) have seen an outburst of attention recently, sp…