83 citations · 220 across the 26 of their papers we have counts for
5 papers · 1 filter
Optimizing ROOT IO For Analysis
Brian Bockelman, Zhe Zhang, Jim Pivarski
The ROOT I/O (RIO) subsystem is foundational to most HEP experiments - it provides a file format, a set of APIs/semantics, and a reference implementation in C++. It is often found…
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design
Zhe Zhang, Shaoshan Liu, Grace Tsai +3
In this paper, we present the PerceptIn Robotics Vision System (PIRVS) system, a visual-inertial computing hardware with embedded simultaneous localization and mapping (SLAM) algor…
Exploring compression techniques for ROOT IO
Zhe Zhang, Brian Bockelman
ROOT provides an flexible format used throughout the HEP community. The number of use cases - from an archival data format to end-stage analysis - has required a number of tradeoff…
Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm
Shaoshan Liu, Bolin Ding, Jie Tang +4
The rise of robotic applications has led to the generation of a huge volume of unstructured data, whereas the current cloud infrastructure was designed to process limited amounts o…
CAAD: Computer Architecture for Autonomous Driving
Shaoshan Liu, Jie Tang, Zhe Zhang +1
We describe the computing tasks involved in autonomous driving, examine existing autonomous driving computing platform implementations. To enable autonomous driving, the computing…