Floating-point computations dominate the landscape of all AI/ML compute but also in automotive, avionics and healthcare. While performance and compute errors dominated the landscape of floating-point ...
ABSTRACT: Two Mehrotra-type predictor-corrector interior point algorithms are proposed for solving symmetric cone optimization (SCO) problems, using the Euclidean Jordan algebra. The algorithms ...
Abstract: The explosive growth of AI workloads elevates on-chip communication and heat dissipation to first-order constraints. This survey paper consolidates thermal-aware Network-on-Chip (NoC) design ...
Abstract: The floating-point (FP) format offers superior precision compared to its integer counterpart for multiply-and-accumulate (MAC) computations. With the rapid progress of artificial ...
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