activity
20172021
most citedAn Elementary Introduction to Kalman Filtering

20 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.PL2021

Efficient Data Race Detection of Async-Finish Programs Using Vector Clocks

Shivam Kumar, Anupam Agrawal, Swarnendu Biswas

Existing data race detectors for task-based programs incur significant run time and space overheads. The overheads arise because of frequent lookups in fine-grained tree data struc…

cs.PL2021

Predictive Data Race Detection for GPUs

Sagnik Dey, Mayant Mukul, Parth Sharma +1

The high degree of parallelism and relatively complicated synchronization mechanisms in GPUs make writing correct kernels difficult. Data races pose one such concurrency correctnes…

cs.AR2021★ 2 cited

Neat: Low-Complexity, Efficient On-Chip Cache Coherence

Rui Zhang, Swarnendu Biswas, Vignesh Balaji +2

Cache coherence protocols such as MESI that use writer-initiated invalidation have high complexity and sometimes have poor performance and energy usage, especially under false shar…

cs.RO2018

SLAMBooster: An Application-aware Controller for Approximation in SLAM

Yan Pei, Swarnendu Biswas, Donald S. Fussell +1

Simultaneous Localization and Mapping (SLAM) is the problem of constructing a map of a mobile agent's environment while localizing the agent within the map. Dense SLAM algorithms p…

eess.SY2017★ 20 cited

An Elementary Introduction to Kalman Filtering

Yan Pei, Swarnendu Biswas, Donald S. Fussell +1

Kalman filtering is a classic state estimation technique used in application areas such as signal processing and autonomous control of vehicles. It is now being used to solve probl…

cs.PL2017★ 2 cited

Capri: A Control System for Approximate Programs

Swarnendu Biswas, Yan Pei, Donald S. Fussell +1

Approximate computing trades off accuracy of results for resources such as energy or computing time. There is a large and rapidly growing literature on approximate computing that h…