Fully Homomorphic Encryption (FHE) is a promising technique for privacy preserving computation. However, homomorphically encrypted operations are orders of magnitude slower than the corresponding unencrypted operations due to high computation and memory bandwidth requirements. FPGAs are attractive platforms for acceler...
Yang Yang, Rajgopal Kannan, Viktor K. Prasanna· ACM Transactions on Reconfig...· 0 citations
PhysWAM is presented, a unified world-action model for autonomous driving that co-denoises multiview video, metric depth, and ego motion within a single flow-matching transformer and Coupled Point Projection is introduced, demonstrating that the geometric relationship between scene depth and ego motion provides a direc...
Dhruv Parikh, Feng-Cheng Yu, Quan-Kai Gao et al.· 0 citations
ReasonMaxxer, a minimal RL-free method that applies contrastive loss only at entropy-gated decision points, matches or exceeds full RL performance while requiring only tens of problems and minutes of single-GPU training, a reduction in training cost of roughly three orders of magnitude.
Ömer Faruk Akgül, Rajgopal Kannan, Willie Neiswanger et al.· arXiv.org· 3 citations· ⚡1
S2MM is presented, the first scalable FPGA-based accelerator designed for HE MM, and a novel datapath for Homomorphic Linear Transformation (HLT), the dominant workload in HE MM is proposed, enabling fine-grained on-chip data reuse and substantially reducing both off-chip memory traffic and on-chip memory demand.
Zhi-Han Xu, Rajgopal Kannan, Viktor K. Prasanna· ACM Transactions on Reconfig...· 0 citations
FOLIO is introduced, a training-free focused semantic memory system that records important parts of the stream in higher detail while keeping surrounding context compactly and substantially reducing the cost of maintaining streaming memory by reserving detailed records for focused entities and storing surrounding conte...
