Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While vendors already use highly efficient caching architectures, engineers usually have to organize their data accordingly order efficiently make of these, requiring deep knowledge the actual hardware. In this paper we present novel technique fine-grained memory prof...

Computational notebooks have emerged as the platform of choice for data science and analytical workflows, enabling rapid iteration exploration. By keeping intermediate program state in memory segmenting units execution into so-called "cells", allow users to enjoy particularly tight feedback. However, cells are added, removed, reordered, rerun, this hidden accumulates, making behavior difficult ...