3 papers
cs.AR2026
L-PCN: A Point Cloud Accelerator Exploiting Spatial Locality through Octree-based Islandization
Yiming Gao, Jieming Yin, Yuxiang Wang +5
Existing Point Cloud Networks (PCNs) have proven to achieve great success in many point cloud tasks such as object part segmentation, shape classification, and so on. The most popu…
cs.AR2024
APACHE: A Processing-Near-Memory Architecture for Multi-Scheme Fully Homomorphic Encryption
Lin Ding, Song Bian, Penggao He +3
Fully Homomorphic Encryption (FHE) is known to be extremely computationally-intensive, application-specific accelerators emerged as a powerful solution to narrow the performance ga…
cs.AR2023
SPECRUN: The Danger of Speculative Runahead Execution in Processors
Chaoqun Shen, Gang Qu, Jiliang Zhang
Runahead execution is a continuously evolving microarchitectural technique for processor performance. This paper introduces the first transient execution attack on the runahead exe…