2 papers
cs.AR2024
Towards Error Correction for Computing in Racetrack Memory
Preston Brazzle, Benjamin F. Morris, Evan McKinney +4
Computing-in-memory (CIM) promises to alleviate the Von Neumann bottleneck and accelerate data-intensive applications. Depending on the underlying technology and configuration, CIM…
cs.DC2024
SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators
Shixin Ji, Zhuoping Yang, Xingzhen Chen +5
Embodied carbon has been widely reported as a significant component in the full system lifecycle of various computing systems' green house gas emissions. Many efforts have been und…