Barefoot Rover: a Sensor-Embedded Rover Wheel Demonstrating In-Situ Engineering and Science Extractions using Machine Learning
No abstract provided
Mandrake, Lukas↗
Engineering topics
Schibler, Thomas
Publications and source records attributed to Schibler, Thomas.
Machine Learning Algorithm Performance on the Lucata Computer
A new parallel computing paradigm (processor in memory, or PIM) has recently become available, one that uses many lightweight threads, and where each thread migrates automatically to the memory used by that thread. Our effort focuses on understanding how suitable this architecture is for our application, and whether the hardware can sustain speedups as high as the system size permits. In particular we explore the kind of code optimizations needed, and how well optimized code scales. This paper describes some of the those optimizations, and the payoff in terms of scaling.
Kogge, Peter↗