Patrick Siegl

TL;DR: This paper outlines a new architecture, the Active Memory Cube, which reduces the energy of computation significantly by performing computation in the memory module, rather than moving data through large memory hierarchies to the processor core.

TL;DR: By considering the umbrella of near-data processing as the urgent required breakthrough for future computing systems, this survey presents its derivations with a special emphasis on Processing-In-Memory (PIM), highlighting historical achievements in technology as well as architecture while depicting its advantages and obstacles.

TL;DR: This article presents a dedicated solution to ease the debugging and evaluation efforts, particularly focusing on full-system simulation, featuring a standards-compliant powerful and flexible method of deriving, logging, and filtering detailed status information from SystemC-based models.

TL;DR: An HMC-modeling tool was implemented, providing rapid simulation of multiple interconnected HMCs that can run either in a functional or in a bandwidth-accurate mode, overcoming the performance gap while achieving a new path for scaling the computing performance.

TL;DR: An insight is provided into the fact that hybrid computing is mostly unconditionally beneficial for balanced systems regarding the performance as well as the energy efficiency, aiding the programmer in the decision whether or not costly, manually tuned, homogeneous implementations are worthwhile.